Public report of ucb-bar/chipyard, published 26 October 2026. It has the same score, grades and number of
findings as the full report. The details of security findings (where they are in the code, which known
vulnerabilities and which passwords or keys were found) are left out, so nobody can use them against the project.
Public
Executive reportMeasured under the Code Assurance Index, an open standard for code quality, using its published scoring rules (rubric version 2026.10.5). Watchdog signed this survey and filed it in the standard's public register, where anyone can look it up by its survey ID. Check this survey →
Signed and filed in the standard's public register, 26 October 2026, 05:44 UTC · Survey ID cd_205c4c8b6bd144f1acd8b9b150d52632
ucb-bar/chipyard
Measured 26 October 2026, 05:27 UTC, at code version 157dd69
A regression is a drop of 0.5 points or more in the score, or of 2.5 or more out of 10 in a dimension, since the last survey.
Knowledge freshness is not measured: Freshness signal contradicted by repo activity.
CAI scoreAt riskNo change since the last survey
The score is built from these lenses. Each lens grades one area of the code, such as how easy it is to change or how well it is protected. The weakest lens counts most, so one weak area pulls the score down instead of being averaged away.
A small codebase: 16,717 lines of product code in 15 projects, tests not counted · Estimated rebuild effort: about 0.1 person-years · Weakest lens: Code Health, 54
Findings by how serious they are
29 critical111 serious25 minor
11 dimensions are left out of the score. For each one, Watchdog either couldn't measure it in this code, or found no evidence of the safeguard it looks for, such as a tested backup restore. They count neither for nor against the score, and Limitations lists each one with its reason.
This survey was produced by
Watchdog
Producer
Canine Development
Analyzer
Watchdog engine 1.0.0
Measured
26 October 2026, 05:27 UTC
A measurement, not a certificate. The Code Assurance Index records a number
together with the evidence it was worked out from, so anyone can recalculate it, but it doesn't certify or guarantee
the code. The standard was written by Canine Development, which also builds Watchdog. It is open to any tool that
implements it, and today Watchdog is the only one that does.
A critical security finding is open, such as a library with a known critical vulnerability or a password or key found in the code. The score itself is unchanged, but its band shows At risk until the finding is fixed. See the Security and Compliance lens.
The score is deterministic, which means the same code always gets the same score. Watchdog works it out with tools that follow published rules, and an AI model never decides it, so anyone who applies the same rules to the same code gets the same number. How it is done is explained under Methodology ▸
62of 62 dimensions measured by tools.
141of 165 findings point to an exact file and line, so you can open each one in the code. The other 24 concern the repository as a whole, such as missing documentation.
62dimensions across 6 lenses, read from 16,717 lines of product code in 15 projects.
ucb-bar/chipyard is rated At risk because critical security findings are open, most of them in the build pipeline. It scores 60 out of 100, which the At risk rating leaves unchanged.
Code Health, at 54, is the weakest lens and counts most in the score. The best first step is adding a diagnostic log, worth about 4 points. Declaring which values may be missing would lift Code Health itself, also worth about 4. Raising Code Health to 70 would lift the score to about 64.
Nineteen pipeline tools are referenced by a changeable name, so the build pipeline can be tampered with. Three pipeline steps put outside input straight into a shell command, so an attacker can run commands in the build pipeline, and three secrets can leak from the build pipeline. Pinning each tool to an exact version, passing outside input through environment variables and limiting each secret to its own step would close these risks. Setting a waiting period for automatic updates would fix the automatic dependency update that takes a new release at once, and updating the vulnerable packages would deal with the package with a known security hole.
The product code is 16,717 lines, about €18,000 to rebuild.
A lens is capped at Adequate while one of its dimensions scores below 4 out of 10, however well the rest of the lens does. That way a serious problem in one place always shows in the lens's rating.
How the score is built: what each lens counts forThe lenses don't count equally. The weakest lens counts most, the next weakest a little less, and so on, so a weak area pulls the score down instead of being averaged away. In the bar below, each part's width shows how much that lens counts and its colour shows its rating. Improving the widest part moves the score most, and as that lens improves, it counts for less, because another lens becomes the weakest.
If Code Health rose from 54 to 70, the lowest score rated Strong, the score would rise from 60 to about 64.
Code composition: what the lines of code are
Product code 97%Tests 3%
Fixed since the last survey: 1 finding
This critical or serious finding was in the previous survey, on 12 October 2026, and is gone from this one.
Documentation (README) · README may be stale
Rebuild cost: about €18,000 · Estimate
Cost to rebuild
€6,100 to €31,000, for 102 to 324 hours of work, about 0.1 person-years for one engineer
Difficulty of the problem
Standard, judged from the kind of software and how it is built. Code that solves a harder problem, such as payments or medical bookings, costs more per line to write.
Quality factor
×0.8 at a score of 60. Better code takes more work to write, so the factor is ×1.0 at a score of 70, lower below it and higher above it.
Size
Small: 16,717 lines of product code
What it is not
Not a quotation: nobody has offered to build it for that. Not a valuation: it says nothing about what the business is worth. Not a certified figure: no professional has signed it as one.
How the estimate is made: Watchdog prices the hours a team would need to write this code again, at €60 to €95 an hour. Declarations and boilerplate are priced at a fast rate and logic at a slower one, and the logic is then multiplied by the difficulty of the problem and by the quality factor. The estimate can be about 30% off either way, and it moves most with the hourly rate and the difficulty. For this code, every line is priced as straight logic, which keeps the estimate on the low side.
Top priorities
The three actions that raise the score most for the work they take. The full ranked list is in the Roadmap.
1
Write a diagnostic trail the user can hand back with a bug report: a log file under the platform's per-user data directory, switchable with a `--verbose`/`--debug` flag.
Start with the error paths that emit nothing — a discarded error is the failure the user cannot describe and you cannot reproduce.
Raises the score by about 4 points · Medium effort · Observability
2
On Scala 3, add `-Yexplicit-nulls` to `scalacOptions` so `String` and `String | Null` mean different things, and type each Java API's result as nullable where it can return null; on Scala 2 (or as a first step), enable WartRemover's `Null` wart (`wartremoverErrors += Wart.Null`) or Scalafix's `DisableSyntax.noNulls = true` so the code holds absence in `Option`.
Then pay the assertions down rather than adding to them: each `.nn` is a null the compiler could not rule out — wrap the Java value in `Option(…)` at the boundary, pattern-match on `null` once there, or change the API so the null cannot arrive; an `unsafeNulls` import switches the checking off for everything after it.
Each conclusion below combines several dimensions into one point that no single dimension shows, and lists the measurements it rests on.
Where the investment is most exposed · Value at risk
This code would cost about €18,000 to build again, about 0.1 person-years of work. Its weakest lens is Code Health, at 54 (Adequate). Code Health is about how easy the code is to read and change safely, and code that is hard to read is slow and risky to change, so every future change costs more than it should. Because the weakest lens counts most in the score, work on Code Health also moves the score most.
Based on: the rebuild estimate · the Code Health grade · how much each lens counts
What to do: Start with the Code Health actions in Top priorities.
If you do one thing first · First action
Write a diagnostic trail the user can hand back with a bug report: a log file under the platform's per-user data directory, switchable with a `--verbose`/`--debug` flag. Of all the actions in this report, it raises the score most for the work it takes: about 4 points for medium effort. The next survey will show the change in the score.
Based on: the ranked actions in Top priorities, by score gain and effort
Architecture — module dependency graph
Project dependencies, layered top-to-bottom; arrows show direction. Any dashed red edge points upward or sideways, which only happens where the projects form a dependency cycle. A graph without cycles has none.
Architecture: which parts of the code depend on which
The code is divided into modules, groups of code that each handle one part of the product, and a module depends on another when it uses code from it. The table lists the modules both down the side and across the top, in an order where each module should only use modules listed above it. A number in a cell means the module on that row uses the module in that column, and it counts the pairs of building blocks (types) that connect them. The one thing to look for is a mark above the diagonal line. It means two or more modules use each other in a loop (a dependency cycle), so none of them can be changed, tested or released on its own.
38 modules, with 33 dependencies between them. One loop runs through 2 of the modules, marked above the diagonal.
Which modules use which. The module on each row uses the module in each column, and the number counts the pairs of types that connect them. A cell above the diagonal is part of a loop.
chipyard.iobinders uses firechip.bridgeinterfaces, so a change to firechip.bridgeinterfaces can break chipyard.iobinders, while a change to chipyard.iobinders can't break firechip.bridgeinterfaces.
Position
Below the diagonal: chipyard.iobinders uses a module listed above it, which is the healthy direction.
chipyard.stage.phases uses chipyard.stage, so a change to chipyard.stage can break chipyard.stage.phases, while a change to chipyard.stage.phases can't break chipyard.stage.
Position
Below the diagonal: chipyard.stage.phases uses a module listed above it, which is the healthy direction.
firechip.bridgestubs uses firechip.bridgeinterfaces, so a change to firechip.bridgeinterfaces can break firechip.bridgestubs, while a change to firechip.bridgestubs can't break firechip.bridgeinterfaces.
Position
Below the diagonal: firechip.bridgestubs uses a module listed above it, which is the healthy direction.
20→23 tapeout.macros.MacroCompilerAnnotation uses tapeout.macrospart of a loop✕
Connections
1 pair of types, where a type in tapeout.macros.MacroCompilerAnnotation uses a type in tapeout.macros.
tapeout.macros.MacroCompilerAnnotation uses tapeout.macros, so a change to tapeout.macros can break tapeout.macros.MacroCompilerAnnotation, while a change to tapeout.macros.MacroCompilerAnnotation can't break tapeout.macros.
Position
Above the diagonal, so it is part of a loop. Neither module can be changed, tested or released on its own until one of these dependencies is removed.
chipyard.clocking uses chipyard.iobinders, so a change to chipyard.iobinders can break chipyard.clocking, while a change to chipyard.clocking can't break chipyard.iobinders.
Position
Below the diagonal: chipyard.clocking uses a module listed above it, which is the healthy direction.
chipyard.harness uses chipyard.iobinders, so a change to chipyard.iobinders can break chipyard.harness, while a change to chipyard.harness can't break chipyard.iobinders.
Position
Below the diagonal: chipyard.harness uses a module listed above it, which is the healthy direction.
tapeout.macros uses chipyard.iobinders, so a change to chipyard.iobinders can break tapeout.macros, while a change to tapeout.macros can't break chipyard.iobinders.
Position
Below the diagonal: tapeout.macros uses a module listed above it, which is the healthy direction.
tapeout.macros uses tapeout.macros.MacroCompilerAnnotation, so a change to tapeout.macros.MacroCompilerAnnotation can break tapeout.macros, while a change to tapeout.macros can't break tapeout.macros.MacroCompilerAnnotation.
Position
Below the diagonal: tapeout.macros uses a module listed above it, which is the healthy direction.
chipyard.config uses chipyard.clocking, so a change to chipyard.clocking can break chipyard.config, while a change to chipyard.config can't break chipyard.clocking.
Position
Below the diagonal: chipyard.config uses a module listed above it, which is the healthy direction.
chipyard.fpga.arty uses chipyard.iobinders, so a change to chipyard.iobinders can break chipyard.fpga.arty, while a change to chipyard.fpga.arty can't break chipyard.iobinders.
Position
Below the diagonal: chipyard.fpga.arty uses a module listed above it, which is the healthy direction.
chipyard.fpga.arty uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.arty, while a change to chipyard.fpga.arty can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.arty uses a module listed above it, which is the healthy direction.
chipyard.fpga.arty100t uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.arty100t, while a change to chipyard.fpga.arty100t can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.arty100t uses a module listed above it, which is the healthy direction.
chipyard.fpga.arty100t.Arty100THarness uses chipyard.clocking.ClockGroupAsyncResetCoercer, so a change to chipyard.clocking.ClockGroupAsyncResetCoercer can break chipyard.fpga.arty100t.Arty100THarness, while a change to chipyard.fpga.arty100t.Arty100THarness can't break chipyard.clocking.ClockGroupAsyncResetCoercer.
Position
Below the diagonal: chipyard.fpga.arty100t.Arty100THarness uses a module listed above it, which is the healthy direction.
chipyard.fpga.arty100t.Arty100THarness uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.arty100t.Arty100THarness, while a change to chipyard.fpga.arty100t.Arty100THarness can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.arty100t.Arty100THarness uses a module listed above it, which is the healthy direction.
chipyard.fpga.datastorm uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.datastorm, while a change to chipyard.fpga.datastorm can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.datastorm uses a module listed above it, which is the healthy direction.
chipyard.fpga.datastorm.DatastormHarness uses chipyard.clocking.ClockGroupAsyncResetCoercer, so a change to chipyard.clocking.ClockGroupAsyncResetCoercer can break chipyard.fpga.datastorm.DatastormHarness, while a change to chipyard.fpga.datastorm.DatastormHarness can't break chipyard.clocking.ClockGroupAsyncResetCoercer.
Position
Below the diagonal: chipyard.fpga.datastorm.DatastormHarness uses a module listed above it, which is the healthy direction.
chipyard.fpga.datastorm.DatastormHarness uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.datastorm.DatastormHarness, while a change to chipyard.fpga.datastorm.DatastormHarness can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.datastorm.DatastormHarness uses a module listed above it, which is the healthy direction.
chipyard.fpga.genesys2 uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.genesys2, while a change to chipyard.fpga.genesys2 can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.genesys2 uses a module listed above it, which is the healthy direction.
chipyard.fpga.genesys2.Genesys2Harness uses chipyard.clocking.ClockGroupAsyncResetCoercer, so a change to chipyard.clocking.ClockGroupAsyncResetCoercer can break chipyard.fpga.genesys2.Genesys2Harness, while a change to chipyard.fpga.genesys2.Genesys2Harness can't break chipyard.clocking.ClockGroupAsyncResetCoercer.
Position
Below the diagonal: chipyard.fpga.genesys2.Genesys2Harness uses a module listed above it, which is the healthy direction.
chipyard.fpga.genesys2.Genesys2Harness uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.genesys2.Genesys2Harness, while a change to chipyard.fpga.genesys2.Genesys2Harness can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.genesys2.Genesys2Harness uses a module listed above it, which is the healthy direction.
chipyard.fpga.nexysvideo uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.nexysvideo, while a change to chipyard.fpga.nexysvideo can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.nexysvideo uses a module listed above it, which is the healthy direction.
chipyard.fpga.nexysvideo.NexysVideoHarness uses chipyard.clocking.ClockGroupAsyncResetCoercer, so a change to chipyard.clocking.ClockGroupAsyncResetCoercer can break chipyard.fpga.nexysvideo.NexysVideoHarness, while a change to chipyard.fpga.nexysvideo.NexysVideoHarness can't break chipyard.clocking.ClockGroupAsyncResetCoercer.
Position
Below the diagonal: chipyard.fpga.nexysvideo.NexysVideoHarness uses a module listed above it, which is the healthy direction.
chipyard.fpga.nexysvideo.NexysVideoHarness uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.nexysvideo.NexysVideoHarness, while a change to chipyard.fpga.nexysvideo.NexysVideoHarness can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.nexysvideo.NexysVideoHarness uses a module listed above it, which is the healthy direction.
chipyard.fpga.vc707 uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.vc707, while a change to chipyard.fpga.vc707 can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.vc707 uses a module listed above it, which is the healthy direction.
chipyard.fpga.zcu104 uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.zcu104, while a change to chipyard.fpga.zcu104 can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.zcu104 uses a module listed above it, which is the healthy direction.
firechip.chip uses chipyard.iocell, so a change to chipyard.iocell can break firechip.chip, while a change to firechip.chip can't break chipyard.iocell.
Position
Below the diagonal: firechip.chip uses a module listed above it, which is the healthy direction.
firechip.chip uses chipyard.harness, so a change to chipyard.harness can break firechip.chip, while a change to firechip.chip can't break chipyard.harness.
Position
Below the diagonal: firechip.chip uses a module listed above it, which is the healthy direction.
chipyard.fpga.vcu118 uses chipyard.harness, so a change to chipyard.harness can break chipyard.fpga.vcu118, while a change to chipyard.fpga.vcu118 can't break chipyard.harness.
Position
Below the diagonal: chipyard.fpga.vcu118 uses a module listed above it, which is the healthy direction.
chipyard.fpga.vcu118 uses chipyard.fpga.vc707, so a change to chipyard.fpga.vc707 can break chipyard.fpga.vcu118, while a change to chipyard.fpga.vcu118 can't break chipyard.fpga.vc707.
Position
Below the diagonal: chipyard.fpga.vcu118 uses a module listed above it, which is the healthy direction.
At a glance — Code Health · 54% · Adequate · gated by X5 ·
Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).
OWASP category
Findings
Severity
A05:2025 — Injection
27
High / Critical
A02:2025 — Security Misconfiguration
13
High / Critical
A03:2025 — Software Supply Chain Failures
6
High / Critical
Roadmap
First, implement user-facing diagnostic logging to capture error details for reproduction, and enforce strict null safety in Scala to eliminate runtime crashes. Second, ensure async operations respect cancellation signals to prevent wasted work, and document key architectural decisions to preserve institutional knowledge. Finally, introduce manual approval gates for releases to allow human intervention and prevent faulty builds from reaching users.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Write a diagnostic trail the user can hand back with a bug report: a log file under the platform's per-user data directory, switchable with a `--verbose`/`--debug` flag. Start with the error paths that emit nothing — a discarded error is the failure the user cannot describe and you cannot reproduce.
On Scala 3, add `-Yexplicit-nulls` to `scalacOptions` so `String` and `String | Null` mean different things, and type each Java API's result as nullable where it can return null; on Scala 2 (or as a first step), enable WartRemover's `Null` wart (`wartremoverErrors += Wart.Null`) or Scalafix's `DisableSyntax.noNulls = true` so the code holds absence in `Option`. Then pay the assertions down rather than adding to them: each `.nn` is a null the compiler could not rule out — wrap the Java value in `Option(…)` at the boundary, pattern-match on `null` once there, or change the API so the null cannot arrive; an `unsafeNulls` import switches the checking off for everything after it.
Record your significant design decisions. Write one short document per decision, giving its date, the situation, the decision and its consequences, and keep them together with your other design documents. A docs/adr folder with each file named by number and title is the easiest place to find them.
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
Dependabot is configured but does not watch `npm`, `pip` — add those `package-ecosystem` entries to REDACTED so those dependencies get the same automatic update and advisory pressure as the ones it already covers.
Every finding carries one of four grades. Three say how serious it is. The fourth says this
survey could not settle it — and it is a grade, not a gap.
Critical — 29
A definite problem that already costs you something and drags the score down: a
missing authorisation check, a dependency with a known exploit, a build that does not reproduce. Failure here
tends to cause failures elsewhere.
Serious — 111
Likely wrong, but not failing yet. It degrades
the codebase over a longer horizon and can cause failures elsewhere — not urgent this week, not something to
carry for two years either.
Minor — 25
Recorded, with no effect on how the codebase functions.
Present so the survey is complete, not because it needs doing.
Could not be resolved — 11
Something this survey could not settle
from the outside, and which could be critical or serious. Either a control was required and no
positive evidence of it exists in the repository — a backup job that nothing shows was ever restored from proves
nothing about restores — or our own analysis could not run over that part of the tree. This is not a clean
result. These are excluded from the score rather than awarded a pass, so the number on the cover neither
rewards nor penalises them: if you act on this survey without resolving them, you carry that risk yourself. Each
one is named under Limitations.
Methodology & how to trust this report
Watchdog is a deep, periodic assessment — run each sprint, monthly, or quarterly, taking the time to go wider and deeper than a quick check and surfacing in one coherent report what you'd otherwise piece together from a dozen separate tools. It scores deterministically: the same commit yields the same score, every run. 62 of 62 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); none rely on LLM judgement. Overall confidence is 0.8 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.
Every figure here is one of three kinds, and we label which: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.
What we checked — 62 dimensions across the health lenses
Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.
How to trust any code-health report — three questions
Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 141 of 165 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.
This report answers yes to all three. That's the bar to hold any assessment to.
Tools & methods
The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.
Method
Backs
Version
Evaluator
Roslyn static analysis
Complexity, cohesion, coupling, dead code, API surface, layering
What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.
D4 Code Duplication — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. The 24 duplicated block group(s) on this row were found in the languages this pass could tokenize, and they do NOT cover all of this repository's production source: .cc (4,178 lines, 18% of production source), .c (1,788 lines, 8% of production source), .cpp (20 lines, 0% of production source) went unread, because no language model this pass could load exposed a clone-unit token stream for those file kinds. Duplication in that source is UNMEASURED — its absence from the count above is a gap in this analyzer's language coverage, not a finding that the code is free of duplication.
D8 Code Coverage — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Coverage NOT MEASURED: test source is present (.py, .scala) but the built-in coverage collector has no runner for this repository's ecosystem — so this suite was never executed by it. Not scored — this is a gap in the analyzer's language coverage, not a defect in the repo. To have real coverage read, produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`, or `addSbtPlugin("org.scoverage" % "sbt-scoverage" % "<version>")` in `project/plugins.sbt`, then `sbt clean coverage test coverageReport`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures. You can widen what we reach: optional: produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`, or `addSbtPlugin("org.scoverage" % "sbt-scoverage" % "<version>")` in `project/plugins.sbt`, then `sbt clean coverage test coverageReport`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures — then the real number is read on the next scan.
D11 Test Reliability — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Test source is present (.py, .scala) and this repository declares an sbt build (repository root, 5 test files), but it was not re-run: the analyzer environment could not run it. Not scored — this is a gap in the analyzer's language coverage, not a finding about this repository.
D14 License Compliance — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. This repository declares a Python pyproject.toml/requirements.txt (pip/uv/Poetry), but the licence verdict published here was taken over its sbt dependencies. Nothing was read about its Python dependencies' licensing in either direction, and a clean score on this card must not be read as covering them.
D14 License Compliance — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. This repository declares package.json, but the licence verdict published here was taken over its sbt dependencies. Nothing was read about its npm dependencies' licensing in either direction, and a clean score on this card must not be read as covering them.
D19 Documentation Quality — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. Each ecosystem's manifests (what makes a folder runnable or a published package) need their own proof before D19 judges its units. Until then those folders' READMEs are judged only as documents (boilerplate, structure), never counted as complete.
D19 Documentation Quality — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. This kind did not reach the 95 % precision gate in three adjudicated runs (docs/plans/deterministic-engine/adjudication/D19-sample3-v3.md), so by the pre-registered fallback it publishes no row until a re-measurement shows it does. The candidates are counted here, not reported as findings, and the score does not include them.
D21 Naming Consistency — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. D21's deterministic naming rules are gated on C# first (docs/plans/deterministic-engine.md, P5): each other language is switched on only after its own concept suite and A/B gate pass. Until then its declarations carry no naming verdict this run — this says nothing about whether its names are consistent.
D22 Internal API Consistency — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. D22 identifies the intentionally-exposed surface from `IsPackable` and `.Contracts` project names, MSBuild conventions read off the loaded project set. This target exposed no such projects, so the probe never ran; this says nothing about whether the repository has a public API. This repository commits no C#/VB source at all, so there was never an MSBuild project set to read these conventions off. That is OUR side and it is a COLLECTOR gap, not an environment fault: it declares a published package (REDACTED), but no published-package marker D22 reads admitted any project here, so this ecosystem's public API has no collector, and the remedy is to write one — no change to the scan image can close it.
D24 Comment Value — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check's reader does not cover the language this repository's product is written in, so it had nothing of the product to read. That is a gap in this analyzer's language reach — not a finding about this repository.
D26 Project Cohesion — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. Project size and spread are measured over build units whose source a code model reads. This repository's .cc, .c, .cpp source is a material share of its production lines and was read by none, so the score is a verdict about the units that were read. Not a finding that the unread source is cohesive — it is unmeasured.
D27 Navigability — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Navigability is taken over call sites whose callee resolved. For C# that population includes calls into referenced assemblies; for this language only calls declared inside the repository count, so the abstention threshold reads the repository's use of its standard library as a resolution failure. That is a limit of this analyzer, not a build problem in this repository.
D32 Data Compliance (PII/GDPR) — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. `tools/stage-chisel7/src/main/scala/phases/GenerateArtefacts.scala`, `tools/stage/src/main/scala/phases/GenerateArtefacts.scala` produced a parse error, so every rule in this engine's `gdpr.yml` was absent there. That absence is NOT a clean result: these rules detect personal data crossing a boundary into a log sink, a URL or browser storage, and a file that was never parsed cannot report any of the three. The rest of the tree analysed normally and its rows above stand; only these files are unaccounted for. You can widen what we reach: fix the syntax error (or exclude the file deliberately) and re-scan to cover it.
D34 Knowledge Freshness — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. File-level freshness contradicts repo activity: 43 commits in the last 90 days, yet 80 of 93 significant files carry no living knowledge. Those two readings cannot both be true, so the per-file recency signal is treated as unreliable here and freshness is not scored for this run.
AXR1 Runtime accessibility — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Render strategy: boot via DevServer (dev). the dev server did not expose a crawlable HTTP endpoint in time — no runtime evidence.
C1 Data Protection — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These personal data controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks personal data controls.
C2 Access Controls — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These authorization controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks authorization controls.
P5 DR & Backup — not measured this run — This is a true statement about the repository that carries nothing for its owner to act on, so it is reported here rather than as a defect in their code. No backup/snapshot/replication config, RTO/RPO or restore-procedure documentation was found — and no production persistence was detected either (no data-access packages, no data-store services, no database resources), so there is nothing in this repository whose loss a DR control would recover. If this system's data lives in a platform or ops repo we can't see, that's where the DR evidence belongs.
S1 Web-Security Posture — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These web-security controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks web-security controls.
Repo exclusion declarations: 2 pattern(s) declared (.gitattributes linguist-generated/vendored, .editorconfig generated_code) excluded 0 source file(s) from code-quality scoring. Declarations are the repo's own visible statement that a tree is machine-written or vendored — auditable in any diff, honored by GitHub the same way.
Limitations & what we did not check
Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap — a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.
Per-dimension blind spots
For each dimension that was measured, what a static, repo-only scan structurally cannot see — the honest edge of the measurement, not a failure of it.
D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
D4 Code Duplication: Duplication is token-similarity — an in-process token-stream comparison over sliding windows, with type-aware normalization — so it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
D5 Coupling: Coupling is measured between projects/assemblies — runtime coupling through DI, reflection, messaging or shared databases is invisible to a static reference graph.
D6 Cohesion (LCOM4): LCOM4 cohesion is syntactic — it infers connectivity from which methods touch which fields/methods by name, not from real runtime behaviour or intent.
D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D12 Dependency Hygiene: Dependency health reads manifests and lockfiles — a vulnerability in a vendored/copied dependency, or risk from how a dependency is actually used, is outside this view.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
D14 License Compliance: License compatibility is checked against declared package metadata and a policy — mislabelled or missing license metadata, and obligations that depend on how you distribute, are not resolved here.
D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
D16 Bus Factor: Bus-factor is a time-decayed model of commit attribution (who has recently, repeatedly worked a file), not comprehension — pairing, review and reading-without-committing spread knowledge it can't see; bot commits and shared accounts still distort it.
D17 Explicit Debt: Acknowledged-debt signals (TODO/FIXME, suppressions, dead code) are textual — undocumented debt that nobody marked, and debt that lives in design rather than annotations, is invisible. Committed machine-written code (scaffolded migrations, designer/codegen output, generated stubs) is excluded — it is never the team's dead code to delete.
D19 Documentation Quality: Documentation quality publishes two things only: a runnable or packaged unit with no example, and a multi-project root README that maps none of its parts. It does not judge clarity, and its other checks (overview, licence, boilerplate, structure, empty sections, XML-doc coverage) are withheld after adjudication: their candidates are counted in the card's gaps, not shown as rows. A false statement in a document is M4's; units are .NET projects only.
D26 Project Cohesion: Project focus is sized from members/namespaces per project — a project that is broad by deliberate design reads the same as one that has sprawled.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
D30 Dependency Vulnerabilities: CVE matching depends on accurate package/version metadata and on the advisory databases — a vulnerability with no published advisory, or in code not declared as a dependency, is not seen. Coverage needs a RESOLVED graph: an unpinned requirements.txt, or a pom without a resolved build, yields partial coverage rather than a clean verdict. An ecosystem the analyzer cannot scan is reported as unmeasured, never as clean.
D31 IaC & Container Security: IaC scanning checks Dockerfiles/Terraform/Kubernetes against best-practice rules — it cannot see the live cloud account, runtime configuration, or drift between the committed config and what is actually deployed.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
D43 Malicious Dependencies: Only packages some vulnerability database has already NAMED as malicious are seen — a compromise published in the last hours, or never reported at all, is invisible here, and this dimension reading 10 is not evidence that a dependency is trustworthy. There is no typosquat or dependency-confusion analysis: a package nobody has reported is simply absent from the feeds. Coverage is the dependency scan's: an ecosystem that could not be scanned is disclosed as unmeasured, never as clean.
D44 Platform End-of-Life: The support table is FROZEN, so it goes out of date by losing RECALL: a release that ended support after the table was written is missed until the table is refreshed, and this dimension reading 10 is not evidence that a platform is current. Only platforms the repository DECLARES in a place this pass reads are seen — a runtime named only in a REDACTED (D31's subject), in a CI workflow (D29's), or in a file this pass does not parse (go.mod, a Gemfile ruby directive) is invisible here, which is why a repository declaring none of them abstains rather than scoring. Only frameworks with a PUBLISHED support policy are tracked: React, Flask and Express publish none, so their age cannot be judged and their absence from a report is not a statement that they are supported.
AX10 Code composition: Role is inferred from namespace/folder convention, not semantics — a domain concept living in a folder named "Services" reads as application, and the split is lines-of-code, not business value. The business-logic-share score is a SOFT, FLOORED signal: it contributes to the Architecture lens but is floored at the Critical gate, so an infrastructure-heavy design (a gateway, an ETL, a driver) is legitimately low without being nuked to zero.
P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.
What it measures: How tangled the control flow is — methods with many branches are hard to test and change.
Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.
+ 2 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Bring the 1 body over 30 down to 30 or less in Cyclomatic Complexity — start with MacroCompilerPass.compile (cyclomatic 51). — Refactoring it lifts Cyclomatic Complexity from 8.2 to about 8.7/10.
Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: How hard the code is for a person to follow, beyond raw branching.
Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.
+ 11 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Bring the 1 body over 60 down to 60 or less in Cognitive Complexity — start with MacroCompilerPass.compile (cognitive 110). — Refactoring it lifts Cognitive Complexity from 5.4 to about 6.4/10.
Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D3 · God Classes9.7 / 10Stronggated by 1 serious finding✓ Tool-verified
What it measures: Over-large classes that try to do too much ("god classes").
Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.
Resolve the 1 FileTooLong finding(s) in God Classes — start with MacroCompiler.scala. — One of this dimension's main actionable groups (1 warning-level).
Enforce God Classes in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Copy-pasted code that should be shared instead.
Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.
24 duplicated block group(s) detected. One further row reports members as variants of one another; it aggregates block groups already counted above and is not itself counted. Measured on part of this repository only: .cc, .c, .cpp (26% of production source) was not exposed to the token comparison, so duplication there is unmeasured and is not in this count.
+ 10 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 5 Duplicated block (5 lines × 2) finding(s) in Code Duplication — start with Utils.scala (2), SRAM.scala (2), package.scala. — One of this dimension's main actionable groups (5 warning-level).
Resolve the 3 Duplicated block (9 lines × 2) finding(s) in Code Duplication — start with SRAM.scala, Utils.scala, GenerateArtefacts.scala. — One of this dimension's main actionable groups (3 warning-level).
Resolve the 2 Duplicated block (18 lines × 2) finding(s) in Code Duplication — start with GenerateTestSuiteMakefrags.scala, PreElaboration.scala. — One of this dimension's main actionable groups (2 warning-level).
Enforce Code Duplication in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.
Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D5 · Coupling9.5 / 10Stronggated by 1 serious finding✓ Tool-verified
What it measures: Whether volatile projects sit underneath others that depend on them (so their churn ripples upward), and whether project dependencies form cycles. A widely-depended-on but stable shared/kernel project is healthy, not penalised.
Method: Dependency cycles via elementary-DFS over real .csproj references, plus Martin instability (afferent/efferent) per project. Exhaustive over the reference graph, deterministic.
Coverage: Exhaustive · type-level: afferent/efferent coupling + cycles computed over every production type — the population is all types, not a name convention.
15 production modules (sbt), 0 dependency cycle(s), 0 unstable depended-on module(s). Read from the build's own module declarations; a dependsOn spread (deps: _*) and a project whose directory a helper computes are not visible there; 1 module(s) off the main sequence, with abstractness counted on 6 of the 15 (the rest declare no modelled class or interface, export only macros, declare types in source no model reads, or have no source directory of their own).
Off the main sequence: firechip_bridgeinterfaces
What to do
Resolve the 1 Off the main sequence finding(s) in Coupling. — One of this dimension's main actionable groups (1 warning-level).
Enforce Coupling in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d5_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether a class's methods are focused on a single responsibility.
Method: LCOM4 cohesion per production class with at least two methods: connected components of methods sharing state or calls, computed syntactically. Deterministic, not a proxy.
Coverage: Exhaustive · type-level: LCOM4 cohesion computed over every production class — the population is all types, not a name convention.
D9 · Test Distribution10.0 / 10Exemplary✓ Tool-verified
What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.
Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.
6 test methods: 6 unit, 0 integration, 0 BDD, 0 e2e. The Scala suite contributes 6 test case(s) across 4 file(s) in a test source set declaring at least one — every `test("…")`, `it("…")`, `property("…")` and `"…" in {…}` registration and every JUnit `@Test`, which is how munit, ScalaTest, utest, ZIO Test and specs2 declare a case; a case registered under a computed name is not counted, so this is a floor. Its tier split is INFERRED from paths and file names, except sbt's src/it source set, which the build declares.
What it measures: Whether dependencies are current, secure, and not bloated.
Method: Manifest scan via dotnet list package across all projects; worst-signal-per-package deduction (saturating for vulnerabilities, capped-linear for deprecation/outdated) per KLoC. Exhaustive, deterministic.
13 outdated direct sbt declarations. 19 of 21 direct declarations were graded against Maven Central (2 not published there, which is what a private Nexus or Artifactory artifact looks like, 0 declaring a version range rather than an exact version). An sbt declaration names an EXACT version, so the remedy is an edit to the build file — there is no lockfile refresh that would move it. Test-, Provided- and it-scoped declarations are excluded, because a consumer of this project never receives them. A version held in a Scala val is read only when the val is one string literal: sbt is a program rather than a manifest, and evaluating a computed version would invent the measurement rather than take it. Whether any artifact is DEPRECATED or ABANDONED is not graded and cannot be — Maven Central publishes no such marker, and release age does not stand in for one: the most widely depended-upon libraries are routinely the stalest, being finished rather than abandoned. Known CVEs in this dependency graph are D30's question.
Outdated: com.github.scopt:scopt_2.13 · ×13
What to do
Enforce Dependency Hygiene in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.
Detailed fixes: d12_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.
Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.
What it measures: Whether the licenses of third-party packages are compatible with your policy.
Method: Third-party package licenses resolved from declared package metadata and checked against the configured policy (allow/deny/copyleft). Deterministic; clean = no incompatible license found at metadata depth.
0 of 19 declared sbt dependency artifact(s) use a banned license. Licences were resolved from the POMs Maven Central publishes, over the production coordinates this repository's 1 sbt build file(s) (REDACTED and project/*.scala) declare with a literal version, directly or through a string-literal val — `%%` resolved to the Scala binary suffix Central publishes under, test-scoped declarations excluded — the same declaration-site closure this analysis reads for dependency currency. sbt has no lockfile a checkout carries, so this is deliberately NOT the transitive closure. 1 further production coordinate(s) are declared with a version the build computes rather than writes as a literal — sbt is a program, and this pass does not run it — and are NOT graded: this verdict covers what the build pins literally or through a string-literal val, not the full graph. A further 2 coordinate(s) are not published to Maven Central — another repository (Google's Maven hosts androidx), a SNAPSHOT, or a private artifact — so their licences are not readable from here and they are outside this verdict. ★ COVERAGE OF THIS VERDICT: it grades this repository's sbt dependencies and nothing else. The repository also declares a Python pyproject.toml/requirements.txt (pip/uv/Poetry) and package.json, and the licences of those dependency graphs were NOT read by this pass — a gap in this engine's coverage, not a statement about them. So this result says the graded closure carries no banned licence; it does NOT say this repository's licensing is clear.
What it measures: Files that change often and are also complex — the riskiest hotspots.
Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.
What it measures: Whether knowledge is concentrated in too few people (the "bus factor").
Method: Living knowledge per author via time-decayed commit attribution (6-month half-life, focus weighting) across largest source files. Deterministic, avoids blame's mechanical-refactor false positives.
1 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is generators/firechip/goldengateimplementations/src/main/scala/CTCBridge.scala. Counted over 92 of the 182 production source files in this repository: 89 are under the ~2,400-byte size floor this dimension measures over, and the remaining 1 have no attributable history left to measure.
Off-boarding risk: anonymized user #1
✓ On the Gold path — maintain.
Detailed fixes: d16_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Acknowledged debt left in the code — TODOs, dead code, suppressed warnings.
Method: Roslyn syntactic debt markers (suppressions/TODO/FIXME/HACK/empty-catch/commented-code/Obsolete) plus SymbolFinder dead-code analysis; weighted-debt-per-KLoC density deducted 2.0x per unit. Deterministic, exhaustive.
37 deducted task-comment markers across 16717 LoC (0.2/KLoC) → score 9.6. Task comments only: this repository's language is read without a compiler, so D17's suppression, dead-code and commented-out-code arms did not run and this score counts fewer marker kinds than a .NET repository's would.
Resolve the 32 TodoComment finding(s) in Explicit Debt — start with TutorialTile.scala (7), CostMetric.scala (2), MacroCompiler.scala (2). — One of this dimension's main actionable groups (32 warning-level).
Resolve the 5 HackComment finding(s) in Explicit Debt — start with Utils.scala (3), CospikeBridge.scala, HasHarnessInstantiators.scala. — One of this dimension's main actionable groups (5 warning-level).
Enforce Explicit Debt in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d17_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether the project's documentation is clear, complete, and useful.
Method: Every README, docs/ document and root guide parsed by its markup and measured in Unicode letters. Published: a runnable or packaged .NET project whose README (or a document it links, or a root guide) shows no example, and a root README naming none of three or more projects. Overview, licence, boilerplate, wall-of-text, empty-section and XML-doc rows are measured and withheld (counted in gaps) after adjudication. Deterministic, exhaustive, advisory.
1 of 2 build units (npm, sbt) flagged as possibly oversized/incoherent. This repository's .cc, .c, .cpp source was read by no build unit, so this covers part of the tree, not all of it.
Projects may be oversized for their cohesion
What to do
Resolve the 1 Projects may be oversized for their cohesion finding(s) in Project Cohesion. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d26_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.
Method: Secret scan via TWO gitleaks detect passes in an isolated checkout — the full git history, then a second --no-git pass over the working tree as it stands — merged and de-duplicated by (rule, file, line); each match flagged High. Both invocations are recorded in the audit trail. Exhaustive; when the tool is absent, or when its output cannot be parsed into the expected shape, the dimension is WITHHELD as an explicit measurement gap on our side — unscored and excluded from the lens, never a hedged middling score.
What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.
Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.
Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).
27 finding(s): 0 critical, 27 high, 0 medium, 0 low. 19 unpinned-GitHub-Actions row(s) are reported here but scored by D36 (supply-chain provenance), which measures that posture as `pinned_actions` — one pinning decision is charged once, not once per lens. semgrep hit a parse error in 2 file(s) — `scripts/build-util.sh` (line 13, line 14), `scripts/utils.sh` (line 110) — so no absence of findings in the named regions is evidence of anything; rows reported elsewhere in those files are real. Fix the syntax error (or exclude the file deliberately) and re-scan to cover them. Separately, one or more rules could not re-parse an embedded snippet in 5 file(s) (e.g. a workflow `run:` block read as shell). Those files WERE scanned and their other rows are unaffected; only those rules' view of those snippets is missing.
REDACTED
REDACTED
REDACTED
REDACTED
REDACTED
+ 1 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 3 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED, REDACTED, REDACTED. — One of this dimension's main actionable groups (3 issue-level).
Resolve the 2 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (2). — One of this dimension's main actionable groups (2 issue-level).
No action in Static Analysis (SAST) — all 19 REDACTED finding(s) are reported here at file:line but scored by D36 (supply-chain provenance), so none is charged to this dimension. — One of this dimension's main actionable groups (19 issue-level, 0 of them charged here).
Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether any dependency has a known published vulnerability (CVE), direct or transitive, in ANY ecosystem the repository declares — Dart pub, Elixir and Erlang via Hex, Go modules, Java and Kotlin via Maven/Gradle, JavaScript/npm, .NET/NuGet, PHP/Composer, Python/PyPI, RubyGems, Rust/Cargo and Swift.
Method: Dependency-CVE scan across every ecosystem the repository declares, scored ONCE. Three sources are unioned and deduplicated by advisory identity (rule id + alias closure, CVE<->GHSA) scoped to package+version, keeping the worst severity: `osv-scanner --recursive` over osv.dev for Dart pub, Elixir/Hex (and Erlang, whose `rebar.lock` syft first converts to a CycloneDX SBOM the scanner reads, with rows attributed back to the lock), Go, Java and Kotlin via Maven/Gradle (and Scala, whose sbt build's pinned direct declarations are written into a CycloneDX SBOM the scanner reads, with rows attributed back to the build file), npm, PHP/Composer, Python/PyPI, RubyGems, Rust/Cargo and Swift; `trivy fs --scanners vuln` for npm lockfiles; and `dotnet list package --vulnerable --include-transitive` for NuGet (with per-advisory collapse of the project x target-framework fan-out), plus a DECLARED-dependency arm that resolves a published gem's gemspec against rubygems.org where no Gemfile.lock is committed. `SeverityScore(c,h,m,l, normalizer 8.0)`. NotApplicable only when NO ecosystem is readable; if any applicable ecosystem could not be scanned the findings are REPORTED and the score is withheld. Supersedes the npm and OSV arms, retired 2026-09-05.
Resolve the 1 Critical CVE finding(s) in Dependency Vulnerabilities — start with REDACTED. — One of this dimension's main actionable groups (1 issue-level).
Resolve the 1 Medium CVE finding(s) in Dependency Vulnerabilities — start with REDACTED. — One of this dimension's main actionable groups (1 warning-level).
Detailed fixes: d30_recommendation.md · top locations in Appendix A, every location in findings.md.
Resolve the 1 High IaC finding(s) in IaC & Container Security — start with REDACTED. — One of this dimension's main actionable groups (1 issue-level).
Resolve the 12 Medium IaC finding(s) in IaC & Container Security — start with REDACTED (12). — One of this dimension's main actionable groups (12 warning-level).
Detailed fixes: d31_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.
Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.
Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling. A non-source file is never a coupling PARTICIPANT either: documentation, schemas, config and data files are dropped with the rest, so a code↔docs pair — a command and the reference page that restates it — is not reported however strongly the two co-change; nor is coupling that runs THROUGH a build step or config file.
Resolve the 3 Change coupling finding(s) in Change Coupling — start with BoomConfigs.scala, RocketConfigs.scala, Configs.scala. — One of this dimension's main actionable groups (3 warning-level).
Resolve the 1 Change-coupling hub finding(s) in Change Coupling — start with FlatTestHarness.scala. — One of this dimension's main actionable groups (1 warning-level).
Detailed fixes: d35_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether the build pipeline provides supply-chain integrity — generated provenance/attestation, signed artifacts (cosign/sigstore), an SBOM, and pinned build actions. Presence of the configuration, not a runtime guarantee.
Method: Supply-chain provenance/signing read deterministically from CI/build config (.github/workflows, .gitlab-ci.yml, azure-pipelines, Jenkinsfile, .circleci) + the release surface: four signals — generated provenance/attestation (SLSA/in-toto/actions-attest), artifact signing (cosign/sigstore/gitsign), an SBOM (syft/sbom-action/*.spdx.json/*.cdx.json), and SHA-pinned build actions — scored 10·present/denom. NotApplicable without a build pipeline. Detects configuration presence, not runtime enforcement.
What it measures: Whether any dependency the repository declares is published as MALICIOUS rather than merely vulnerable — a package that is an attacker's work, in any ecosystem osv-scanner reads. Scored apart from D30 because the answer is binary: there is no safe version to upgrade to, and the fix is to remove the package and rotate every credential it could have read.
Method: The same dependency scan D30 reads, partitioned on the scanner's own classification rather than rescanned: a row is MALICIOUS when its id is in the `MAL-` space (the ossf/malicious-packages feed) OR its `database_specific.cwe_ids` carries `CWE-506` ("Embedded Malicious Code"). Both channels are structural; the summary text is deliberately NOT read, because a malicious-package record whose summary says only "Critical severity vulnerability" is a real shape ([GHSA redacted]) and a text matcher misses it. Scored BINARY: any surviving row is 0, whatever its severity and however many CVEs sit beside it — a hostile dependency is not a quantity. Applicability and degradation are D30's: NotApplicable only when no ecosystem is readable, and an unscannable ecosystem degrades rather than reading clean. SCORED, not informational.
What it measures: Whether anyone still ships security patches for the platform this repository RUNS ON — the runtime it pins and the framework majors its own constraints hold it to. Separate from D12 because the question differs: a current Django on an end-of-life Python is perfectly up to date and completely unsupported, and the fix is a migration rather than a version bump. What the repository says it merely SUPPORTS is never charged.
Method: End-of-life PLATFORM read from the repository's own declarations and graded against a FROZEN, dated table of vendor support dates — no network, no feed, no API, so this dimension answers identically inside a closed scan fence. Two subjects: a RUNTIME the project pins (a single or all-end-of-life TargetFramework, a .nvmrc or .python-version, a requires-python CAP) and a FRAMEWORK major a dependency constraint cannot move off (a caret, tilde or exact version; `vue@^2.7.16` pins Vue 2). A FLOOR is deliberately never charged — `requires-python = ">=3.8"` states what a package SUPPORTS, not what it runs on — and a multi-target project is charged only when EVERY target is out of support. Runtime 4.0/product capped 8.0, framework 1.5 capped 4.5. The table is safe to freeze because a statement about support that ended in the past cannot become false: it loses recall as it ages, never precision, and a test asserts every entry predates the freeze date. Disjoint from D31 (a container image's OS layer) and D29 (the toolchain a CI workflow installs). Abstains when the repository declares no platform this pass reads — never scores it clean.
0 end-of-life runtime(s) and 0 end-of-life framework(s), read from 1 platform declaration(s) and 0 dependency declaration(s). This dimension reads what the repository says about ITSELF — a pinned target framework, a version file, a capped requires-python, a Rust toolchain pin, a framework major a constraint cannot move off. A FLOOR is deliberately never charged: `requires-python = ">=3.8"` states what the package SUPPORTS, not what it runs on, and a well-maintained library declares exactly that while running its own CI on a current release. The end-of-life facts are FROZEN and dated, so this dimension needs no network and answers identically inside a closed scan fence; as the table ages it loses recall and never precision, because a statement about support that ended in the past cannot become false. The OS layer of a container image is D31's question and the toolchain a CI workflow installs is D29's; this row is neither.
Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified. How each file's role is decided, because the split is only as good as that: a generated name or a build-output tree makes it Generated, a test project makes it Test, and otherwise the file's NAMESPACE and PATH words are matched against fixed vocabularies in a fixed ORDER — domain, then infrastructure, then application — so a file whose words hit two layers is counted under the earlier one. A production file matching none of them counts as application, so that share reads 'application or unclassified' rather than a measured application layer. Roles come from naming convention, never from what the code does. On this repository the split was taken from the source tree on disk rather than from a loaded .NET workspace, so a file's role is decided by its PATH segments alone — no declared namespace was available to add to the evidence — and generated output is excluded from the census entirely rather than counted as a generated share.
Method: Roslyn line-count by code ROLE: every source file classified Domain/Application/Infrastructure/Test/Generated by namespace + path convention (the shared CodeRoleClassifier), then significant lines summed per role. Deterministic; the advisory score is the business-logic (domain+application) share of production code.
Coverage: Population: ALL source files, each bucketed into ONE of five roles (Domain/Application/Infrastructure/Test/Generated) by namespace + path convention — a file whose layer isn't named in the convention falls to Application (the neutral default), and the split is line-count, not semantic depth or business value.
What to do
The domain core is a small share of production code, but most of the rest matched no layer vocabulary at all — so this is not yet an anemic-domain finding. The namespace/path convention could not place that code, which makes the composition above a statement about the naming, not about the design. Name the layers (or check that the repository's conventions differ from the ones this check knows) before reading a thin domain into it.
Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).
Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.
Other · Architecture — Whether dependencies point inward (Domain ← Application ← Infrastructure/Web) — the clean-architecture dependency rule, checked across the project graph.
Method: Layer violations by name-segment inference (Domain/Core to Application to Infrastructure/Web) over the project-reference graph. Exhaustive over all projects, deterministic.
Other · Architecture — Whether interfaces stay focused rather than fat — the Interface-Segregation principle (SOLID 'I').
Method: Roslyn scan: public interface declared-member counts (accessors fold into their property/event); fat-interface threshold (over 15 declared members) flagged per type. Each finding also reports the distinct-OPERATION count — members counted by name, so an overload group counts once — which decides whether it states the caller-side ISP harm or the implementer-side burden of an overload set. TypeScript: exported interfaces that declare behaviour, counted over their REQUIRED operations (method signatures and function-typed properties with no `?`, once per signature) — data-shape interfaces and ambient .d.ts declarations are outside the population; JavaScript declares no interfaces and is not applicable. Deterministic, type-level.
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AX8 · Test isolation10.0 / 10Exemplary✓ Tool-verified
Other · Architecture — Whether production projects stay free of references to test projects — tests may depend on production, never the reverse.
Method: Csproj graph: each production project checked for references to test projects (identified by test-framework presence, not name). Zero violations is clean. Deterministic.
Other · Code Health — Unreviewed-generation residue in this repository's Scala: methods whose whole body is still `???` or a "not implemented" throw where nothing overrides them, and placeholder text (lorem ipsum, changeme/replace_me…) left in strings of non-test, non-generated code. Scored as a quality signature, never as a claim about authorship.
Method: Roslyn syntax scan: NotImplementedException throws and placeholder string literals in non-test, non-generated shipped code. Deterministic, code-shape signature.
Other · Code Health — Unfinished work detected by code SHAPE, not keywords, in this repository's Scala: methods whose body is `???` or only throws a "not implemented" error, methods that take inputs and return a constant or do nothing, dead `if (false)` branches, and skeleton classes most of whose methods are holes.
Method: Roslyn syntax scan: incompleteness by code shape (constant-returning methods, async-never-await, #if false branches, guards that return what the code already falls through to, tests an earlier guard already decided, comparisons against NaN, skeleton types), not keyword-gated. Deterministic, code-shape heuristic.
Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.
Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.
What to do
Add a build/run (quick start) section to the root README — the first thing a newcomer needs.
Explain in the README how to run the tests. Add a section called Testing to the README in the repository's top folder, saying how to run the test suite.
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.
Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.
No Architecture Decision Records found — no conventional ADR directory, no numbered `NNNN-title` documents in any markup this check reads, and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
What to do
Record your significant design decisions. Write one short document per decision, giving its date, the situation, the decision and its consequences, and keep them together with your other design documents. A docs/adr folder with each file named by number and title is the easiest place to find them.
No logging or diagnostics emission found. This repository ships a binary its users launch rather than a service you operate, so there is no operator to page — but when a run fails on a user's machine, neither they nor you have anything to read.
What to do
Write a diagnostic trail the user can hand back with a bug report: a log file under the platform's per-user data directory, switchable with a `--verbose`/`--debug` flag. Start with the error paths that emit nothing — a discarded error is the failure the user cannot describe and you cannot reproduce.
Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).
Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.
What to do
Dependabot is configured but does not watch `npm`, `pip` — add those `package-ecosystem` entries to REDACTED so those dependencies get the same automatic update and advisory pressure as the ones it already covers.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.
Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.
What to do
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
Readiness · Performance — Whether asynchronous code stays responsive — it avoids sync-over-async blocking (a .NET .Wait()/.GetAwaiter().GetResult(), a time.sleep or blocking HTTP call inside a Python coroutine, a *Sync call inside an async JavaScript function, block_on inside a Rust async fn, runBlocking inside a Kotlin suspend function, block() inside a Reactor publisher) that stalls a thread or event loop and risks deadlock, and, where the code is a reusable library on .NET, awaits with ConfigureAwait(false) so it never captures and stalls its caller's context.
Method: Production-source scan: sync-over-async blocking counted everywhere — .Wait()/.GetAwaiter().GetResult() in .NET; off .NET, read from the language model, a blocking call inside an async function (Python, TS/JS, Rust, Kotlin, Swift, Dart) or inside a Java method returning a Reactor Mono/Flux or a Scala method returning a Future or effect — and, for a .NET library with ≥5 awaits, the share of awaits using ConfigureAwait(false). Deterministic, syntax/text detection.
Other · Code Health — Whether the code avoids sync-over-async (deadlock-prone blocking on tasks) and async void.
Method: Roslyn syntax scan: async methods scanned for .Wait()/.GetAwaiter().GetResult() and async-void outside event handlers. Deterministic, hard fact per invocation.
Other · Code Health — Whether any branch is dead by construction — a switch arm whose label can never equal a case-normalised subject, or an `else if` whose predicate the arm above has already swallowed.
Method: Roslyn syntax + semantics: switch labels compared against the subject's own case normaliser, and if/else-if chains checked for a literal an earlier arm's containment test already swallows. Deterministic, provable per finding. Advisory.
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X13 · Undrained process stream10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a child process that has BOTH standard streams redirected drains both — reading one to the end while the other is never read deadlocks once the child fills the unread pipe.
Method: Roslyn syntax + semantics: ProcessStartInfo launches with both streams redirected, checked for a drain of each stream across the enclosing type. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `spawn` imported from `child_process` whose stdout and stderr are both pipes (no options, no `stdio`, or `stdio` of `'pipe'`), bound to a local that never leaves its scope, where exactly one of the two streams is read, the other never, and the child’s `close`/`exit` (or the read stream’s end) is awaited; a shell redirect in the call’s arguments or a `kill` of the child suppresses it. The same rule reads Python’s `subprocess.Popen`, Dart’s `Process.start`, Ruby’s `Open3.popen3`, and Scala’s JDK process starts (`new ProcessBuilder(…).start()` with no `redirectErrorStream`/`redirectError`/`redirectOutput`/`inheritIO`, `Runtime.getRuntime.exec`) where one of `getInputStream`/`getErrorStream` is read and the other never while `waitFor()` is called or the read stream is read to its end. Deterministic, provable per finding. Advisory.
Other · Security — Whether a hand-rolled public/private IP check can be walked past — a method that unwraps IPv4-mapped IPv6 but returns the opposite verdict for the same host written as IPv4-compatible, 6to4 or NAT64.
Method: Roslyn syntax + semantics: methods that unwrap IPv4-mapped IPv6 and hand-roll IPv4 range carve-outs, checked for whether the IPv6 branch also accounts for the IPv4-compatible, 6to4 and NAT64 embeddings. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X15 · Unvalidated length from an untrusted reader10.0 / 10Exemplary○ Nothing flagged
Other · Security — Whether a length read out of the stream being parsed is bounded before it is allocated or read — an unchecked count taken from the input lets the input choose the allocation.
Method: Roslyn syntax + semantics: integer lengths read from a BinaryReader and spent on a bulk read or an array allocation, checked for any comparison or bounding call on the value anywhere in the method. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a loop that shortens a string until it fits a length budget has a floor — one with none grinds the value down to the empty string, or past it into a negative-length `Substring`.
Method: Roslyn syntax + semantics: while/do loops whose body's only effect on a string is to drop its last character, checked for whether anything — a direct comparison on the length, a body guard, a break — bounds that length below. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `while`/`do` loop whose body’s one assignment to a value is `x = x.slice(0, -1)` or `x = x.slice|substring|substr(0, x.length - 1)`, driven by a condition that reads `x.length` only as a term of a larger expression — never compared directly, never tested for truthiness, and with no other read of `x` — and whose body has no `break`, `return`, `throw` or `if` naming `x`. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X17 · Uncapped recursion over a caller-supplied document3.5 / 10Weak✓ Tool-verified
Other · Security — Whether a walk that recurses through a JSON/XML tree handed in by its caller bounds how deep it will go — an uncapped walk lets the document's nesting choose the stack depth, and the resulting StackOverflowException cannot be caught.
Method: Roslyn syntax + semantics: methods that take a JSON/XML document node and call themselves with a child of it, reachable from an externally-callable member of the same type that accepts a document, checked for any depth parameter, descent counter or threaded arithmetic anywhere in the walk. On a repository with no .NET source it reads TypeScript off the engine’s own token stream (test, vendored, generated and minified paths and `.d.ts` not) with the same rule: a function or method with a parameter typed as a document value — `unknown`, `any`, `object`, `Record<string, unknown|any>`, a JSON alias (`JsonValue`, `JSONObject`, …) or a DOM node global the file does not rebind — that calls itself (bare, or through `this` for a method, or hands itself to a call over the value as in `value.map(walk)`) with something it took out of that value and never through an ancestor accessor such as `closest()` or `parentElement`, that is exported or reached from an exported function (a public method of the same exported class) taking such a value, and that names no depth, level, nesting, recursion, remaining or budget anywhere and threads no `+`/`-` arithmetic through a self-call. Plain JavaScript is not read: with no annotation nothing tells a parsed document from a tree the code built itself. Deterministic, provable per finding. Advisory.
`dfs_update_modules` is public and takes `tree: Dict[str, Any]` from its caller, and it calls itself at line 501 (`dfs_update_modules`) with a piece of `tree` — and nowhere in `dfs_update_modules` is there a depth parameter, a descent counter, or any other cap. The walk therefore spends one stack frame per LEVEL of the value it is handed, so the nesting of the caller's document — not this code — decides how deep the stack goes. Python's parsers accept far more nesting than its stack allows: `json.loads` turns 3,000 bytes of brackets into 1,500 levels and `xml.etree.ElementTree` parses tens of thousands, while a walk like this one raises `RecursionError` once it passes the interpreter's default limit of 1,000 frames. Wherever that exception lands, the work fails: a request errors, and outside any `try` the worker or the program exits with it. Raising `sys.setrecursionlimit` only moves the number the document has to beat. Thread a depth argument through `dfs_update_modules` and reject the value past a fixed maximum, or rewrite the descent with an explicit stack. — scripts/uniquify-module-names.py:501
What to do
Each finding names the externally-callable member that accepts the document and the self-call that descends, and states that no depth parameter or counter exists anywhere in the walk. Confirm from the two, then thread a depth argument through the walk and reject documents past a fixed maximum, or rewrite it with an explicit stack.
Other · Code Health — Whether a type's disposal matches what it OWNS — releasing what it created, leaving alone what it was handed, and not declaring a finalizer for state that has nothing unmanaged to finalize.
Method: Roslyn syntax + semantics: every assignment to a disposable field is read to decide whether the type CREATED the value or was handed it, and the type's disposal is checked against that answer — an injected interface it disposes, a value it constructed and never releases, a finalizer on a type holding nothing unmanaged, and a disposable local whose every reference is a plain member read. A value handed to a container that disposes its contents (a parent control's `Controls` collection, a component `IContainer`) is released by that container and is not reported; generated code is out of population. On a repository with no .NET source the same ownership questions are read in JavaScript/TypeScript off the engine’s own token stream (test, vendored, generated and minified paths not): a class declaring `dispose()`, `[Symbol.dispose]()` or `[Symbol.asyncDispose]()` that disposes a field it was handed through a constructor parameter typed as a repository interface or resolved by a dependency-injection container; that assigns a field only ever from `new X(…)` of a disposable class and neither releases it anywhere in the class nor names it in its disposal member or a method that member calls, nor hands it to anything else; and a `const`/`let` local built from literals only whose every reference opens a statement operating on a non-release member of it. A class is disposable when every repository declaration of its name declares or inherits a disposal member, or when it is a documented library disposable (`vscode` EventEmitter, CancellationTokenSource and Disposable; three.js geometries, materials, textures, render targets, renderers, controls and composers). The finalizer arm has no JavaScript counterpart: a class cannot declare one. Dart is read for the owned-and-never-released arm: a Flutter `State` (or a class declaring `dispose()`/`close()`) whose library-private field is written only with direct creations of a framework controller, `FocusNode`, `StreamController` or periodic `Timer` (or a `.listen(…)` into a field declared `StreamSubscription`), which nothing in the class or its library releases (`dispose`/`close`/`cancel`) and which is never handed on except as a named argument. Ruby is read for the owned-and-never-released arm and the abandoned-local arm: a class declaring an instance `close`, `dispose`, `shutdown`, `stop`, `disconnect` or `terminate` whose instance variable is written only with a blockless core descriptor creation (`File.open`/`new`, `Tempfile`, `Dir.open`, `IO.popen`, the `socket` and `openssl` socket classes) that no method of the class closes and that is never handed on (passed, returned, stored, exposed by `attr_reader`, delegated) — a class whose superclass or mixin lies outside the repository is not judged — and a blockless creation read through and dropped (`File.open(path).read`) or held in a local that is never closed, returned, passed or stored (a `&:read` block-pass, an `autoclose: false` borrow and a `fileno` hand-over are not abandonment). PHP is read for the same two arms: a class (not a trait, and not one using a trait) declaring an instance `close`, `dispose`, `shutdown`, `stop`, `disconnect` or `terminate` whose `private` property (or a `final` class's `protected` one) is written only with a direct core `fopen`, `tmpfile`, `popen`, `proc_open`, `fsockopen`, `stream_socket_client`/`server` or `opendir` that nothing in the class closes (`fclose`, `pclose`, `closedir`, `unset`, a reset to `null`) and that is never handed on, and a handle held in a function's local, or read through as the argument of a reader, that is never closed, returned, passed, captured or stored; a `php://` stream, `curl_init`, `SplFileObject`, `PDO` and a function the repository declares under the core name are not read. Deterministic, provable per finding. Advisory.
`scala.io.Source.fromFile(…)` opens something that has to be given back — a file descriptor, a socket, a directory handle — and its only use reads `.mkString` through it and drops it, so this expression both creates the value and is the last place that can release it, and does not. Every call leaks one more open handle until the collector happens to reach it: `Too many open files` under load, and on Windows a file that cannot be replaced or deleted while it is held. Open it with `scala.util.Using.resource(scala.io.Source.fromFile(…)) { r => … }`, which releases it on every path including a throw, or hold it and call `.close()` in a `finally`. — tools/tapeout/src/main/scala/macrolib/Utils.scala:44
What to do
Each finding names the value and the span that decides who owns it — the `new` that created it, or the constructor parameter that handed it over. Confirm ownership from that span, then make the disposal match it: release what this type created, leave what it was injected with to whoever created THAT, and drop a finalizer whose type holds nothing unmanaged to release.
Other · Code Health — Whether a method that temporarily changes state belonging to the whole process — the working directory, an environment variable — puts it back on EVERY path: a restore reached only when nothing throws leaks the change to the rest of the process.
Method: Roslyn syntax + semantics: method bodies that write the process working directory or an environment variable and write it back in the same body, checked for whether that restore sits in a `finally`/`catch` or only on the straight-line path. On a repository with no .NET source the same rule reads production JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not): `process.chdir`, `process.env.NAME =`/`["NAME"] =` and `delete process.env.NAME`, and Deno’s `Deno.chdir`/`Deno.env.set`/`Deno.env.delete`, paired per function body (a nested function or arrow is its own body, and module top-level code is none), where the last write puts back a local the body captured from the same global or deletes a variable the first write set, with at least one statement between them; a write in a `catch`/`finally` of that body silences it. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether async functions that make a cancellable request accept or pass on an AbortSignal (adoption curve).
Method: Roslyn scan: every async method (excluding framework-fixed overrides/Blazor handlers) checked for CancellationToken parameter presence. Deterministic, adoption percentage. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same question: every named async function that itself makes a request an AbortSignal can cancel (global `fetch`, axios and its file-local instances, ky, ofetch) counts, and it is compliant when its parameters or body name a signal or it hands one of its own parameters to the request as options; signatures a framework fixes (JSX event handlers, route and lifecycle exports, request-first handlers, `override`, `'use server'` modules, TanStack `mutationFn`) are exempt unless they take a signal. Deterministic, adoption percentage.
Only 0/1 async functions that make a cancellable request (fetch, axios, ky, ofetch) accept an AbortSignal or pass one on, so a request keeps running after whatever wanted it has given up — a page navigated away from, an unmounted component, a timed-out job. Take a `signal` (or an options object that carries one) and hand it to the request; where nothing could ever cancel the call, omitting it is a deliberate choice — judge against how the function is used.
`fetchAddonsData` awaits `fetch(…)` but neither accepts an AbortSignal nor passes one on, so its caller cannot stop the request once it has started. Accept `{ signal }` and pass it through: `fetch(url, { signal })`. — docs/public/readthedocs-version-switcher.js:147
What to do
Thread an AbortSignal through async functions that make requests, so the work stops when its caller gives up.
Other · Code Health — Whether an argument guard throws the exception its own condition describes — a guard that rejects a value for being EMPTY and reports it as `NullPointerException` (Java, Kotlin, Scala), `ArgumentError.notNull` (Dart) or `ArgumentNullException` (F#'s `nullArg`) tells the caller a parameter was null when it provably was not.
Method: Roslyn syntax: `throw new ArgumentNullException(nameof(p))` statements controlled by an `if`, whose condition is read for a test that is true of a NON-null `p` — an emptiness test that dereferences it (`p.Count == 0`, `!p.Any()`) or a BCL predicate documented true of the empty value (`string.IsNullOrEmpty(p)`). Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a `when` guard is free of side effects — a guard that increments a counter or assigns while deciding whether its arm matches applies that change during PATTERN MATCHING, on an arm that may not be selected, and skips it entirely when a short-circuit to its left answers first.
Method: Roslyn syntax: `when` guards on case labels and switch-expression arms, read for a mutation (`++`/`--`/assignment) sitting in a position the guard's own `&&`/`||`/`??`/`?:`/`?.` can skip. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a method that TAKES a lock or semaphore and gives it back from a flag-guarded `finally` returns the value that flag implies — reporting success while the guard hands the primitive back admits a second caller the exclusion was there to keep out, and reporting failure while the guard keeps it leaves nothing to ever give it back.
Method: Roslyn syntax: `try` statements whose `finally` releases a synchronisation primitive under a bare local-bool guard, where the method also TOOK that same primitive before the `try`, checked for a `return` of a bool literal whose value disagrees with the flag state the method's own straight-line assignments put it in. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether the work a diagnostic log line costs is paid only when that line is wanted — C# evaluates a call's arguments BEFORE the call, so a trace/debug message joined or projected out of a collection is built in full on every pass, and then discarded by a sink the shipped configuration leaves switched off.
Method: Roslyn syntax: log calls at a diagnostic level (a `Log`-prefixed method naming Trace/Debug/Verbose, or a bare `Debug`/`Trace`/`Verbose` on a receiver named for a logger), whose argument list is read for a call whose cost scales with a sequence — a LINQ operator, a materialisation, `string.Join`, a serializer — with no enclosing level check or conditional-compilation region. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `debug`/`trace`/`verbose` call on a receiver named for a logger, or a `log`-prefixed method naming the level, whose argument calls an array operator (`map`/`filter`/`reduce`/`sort`/…), `Array.from`, `Object.keys/values/entries`, `JSON.stringify`/`util.inspect` over anything but a literal, or an array `join` — outside any arrow or function passed as an argument, which the logger calls only when the level is on — with no enclosing `if`, `&&` or `?:` whose condition names a level, a level string, or the `NODE_ENV`/`__DEV__`/`DEV` build switch. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X24 · Document value interpolated into markup unescaped10.0 / 10Exemplary○ Nothing flagged
Other · Security — Whether text read out of the document being converted is escaped before it is written into generated markup — a value the document's author chose, interpolated into an attribute the surrounding literal delimits, can close that attribute and open another.
Method: Roslyn semantic model over the whole compilation: a string-typed `Value`/`InnerText`/`InnerXml`/`Text` member declared inside `DocumentFormat.OpenXml` or `System.Xml` is a taint SOURCE, propagated through assignments, returns, arguments, tuple elements and string composition to its transitive closure, then read at interpolated-string holes that sit in a markup position the surrounding literal itself delimits. Escaper/encoder calls and enclosing validator conditions cut the flow. Flow- and container-insensitive by construction. A second arm needs no provenance at all and reports a type that CONTRADICTS ITSELF — the same expression escaped at one delimited markup hole and interpolated raw at another hole in the same markup position of the same type, which the type's own escaping proves is a defect without knowing where the value came from. On a repository with no .NET source it reads JavaScript/TypeScript off the token stream with the same rule: a DOM read of raw document text (`getAttribute`, `textContent`, `innerText`, `nodeValue`) is the source, propagated through local bindings and string composition, and judged at template-literal and concatenation holes in the same two delimited markup positions; escapers and validating conditions cut it, and documentation-site, test, vendored and minified scripts are not read. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a value the caller is invited to supply is the value the type actually uses — a constructor parameter stored in a private field that nothing ever reads while the default it was given is spelled out a second time at the site that should have read it, a keyed lookup that falls back to a different setting than the one its key names while the same type falls back to the matching one for that same key, or a culture-sensitive parse given no format provider by a type that feeds its own settable culture to the same kind of parse elsewhere, or a number an entry point writes to standard output under the host's culture while the same entry point formats with the invariant culture elsewhere. Either way, every caller who supplies a value silently gets something else.
Method: Roslyn syntax: private instance fields of a non-partial type assigned in a constructor from one of its own parameters with a `??` fallback, checked for whether anything in the type body reads the field and whether that same fallback expression is spelled out again outside the constructor; and `??` fallbacks onto a member access from a lookup call carrying exactly one string literal, grouped by that key across the type and checked for a fallback member whose folded name disagrees with the key while a sibling site for the same key agrees with it. On a repository with no .NET source the first two arms read JavaScript/TypeScript off the engine’s own token stream (tests included, bundles and vendored paths not): a `#x`, `private` or `private` parameter-property instance field filled in the constructor from a parameter (or one member of one) through `??`/`||` or a parameter default, never read anywhere in the file by name, whose constructed default is spelled again in the class body; and `lookup("key") ?? s.member` grouped by key per class, or per module outside every class. The culture arm has no JavaScript counterpart: its parses take no locale. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a value handed from a callback to the body that waits on it crosses on something built to be crossed — a `Queue<T>`/`List<T>`/`Dictionary<K,V>` written inside an event handler and read back outside it is mutated by two flows at once, and the semaphore or completion source beside it orders how MANY items exist while leaving the collection's own head, tail and backing array unprotected.
Method: Roslyn syntax: method, accessor, local-function and lambda bodies that declare BOTH a non-thread-safe generic collection (`Queue`/`Stack`/`List`/`Dictionary`/`HashSet`/`Sorted*`/`LinkedList`) and a synchronisation primitive (`SemaphoreSlim`/`TaskCompletionSource`/`ManualResetEvent(Slim)`/`AutoResetEvent`/`CountdownEvent`) as locals, then read for a `+=`-registered lambda that raises that primitive while the body outside every lambda waits on it — and, in that scope, a mutating call on the collection inside the lambda paired with a mention of it outside. Any `lock` in the scope abstains it. On a repository with no .NET source the same handoff is read in Java off the engine’s own token stream (test source sets, vendored and demonstration paths not): an `ArrayList`/`LinkedList`/`ArrayDeque`/`PriorityQueue`/`Hash*`/`LinkedHash*`/`Tree*` local and a `CountDownLatch`/`Semaphore`/`CompletableFuture` local, a lambda or anonymous class that raises the primitive and mutates the collection, and a wait outside it; any `synchronized` or `lock()` abstains the body. Because each of those primitives orders what the callback wrote before raising it, only a touch that provably overlaps the callback is convicted: one after the registration and before the next wait, or one in a loop registered-before, waiting on every pass and not declaring the collection. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X27 · Collection changed while being enumerated10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a `for` loop leaves the `dict`, `set` or `deque` it is walking alone — CPython's iterators over those check that the collection has not changed size since the loop began, so a body that removes from (or empties) the very collection the loop is walking makes the next step raise `RuntimeError: dictionary changed size during iteration` and the remaining items are never seen. Whether a `for` comprehension or `foreach` leaves the mutable collection it is walking alone — an `ArrayBuffer` or `ListBuffer` counts its changes and its iterator checks the count, an `ArrayDeque` (and `mutable.Queue`/`mutable.Stack`) is walked by index up to its starting length, and a `java.util` collection walked through `asScala` is fail-fast, so a body that adds to or removes from the very collection the loop is walking makes a later step throw `ConcurrentModificationException` (`IndexOutOfBoundsException` for a deque) and the remaining elements are never seen.
Method: Roslyn syntax + semantics: `foreach` statements whose body calls a structural mutator (`Add`/`Remove`/`Clear`/`Insert`/…) on the very expression the loop is enumerating. Two arms. ARM A — the source is a concrete fragile BCL collection, or a live `Keys`/`Values` view over one, and the mutator resolves to that same collection's own member; concurrent and immutable collections and arrays are outside the population by construction, since their enumerators survive a structural change. ARM B — the source is an argument-less accessor CALL on a receiver whose body is in source: the accessor must return a stored field VERBATIM and a sibling member must structurally change that same field, both read off the implementations rather than from the members' names. A mutation the loop provably exits immediately after (`break`/`return`/`throw`/`goto`), or one written inside a nested loop or a lambda, is counted and never reported. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X28 · Index access outside its own emptiness guard10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a condition that tests a value for emptiness indexes that same value only where the test holds — an `||` written one parenthesis too far to the left leaves an index access outside the guard beside it, so the empty case the guard exists to anticipate reaches the index and throws.
Method: Roslyn syntax only, no semantic model: the OUTERMOST `&&`/`||` of every boolean condition, read for a symbol the condition tests for emptiness (`string.IsNullOrEmpty`/`IsNullOrWhiteSpace`, a `Length`/`Count` comparison against a literal, `Any()`, a `Length`/`Count` pattern, or a comparison against `""`) and ALSO indexes. Each `symbol[...]` access is placed by a boolean-reachability walk from the access up to the outermost connective: an access is COVERED when some enclosing step has it in the right operand and the left operand, under the truth value that step forces, proves the symbol non-empty — a recursion over `&&`/`||` whose true- and false-directions are asymmetric. A finding needs BOTH an uncovered access and a covered one on the same symbol in the same condition, which is the agreeing twin that separates a misplaced parenthesis from an unrelated length test. Bare index accesses with no emptiness test in the condition are neither counted nor reported; a non-identifier receiver and a lambda nested inside the condition are outside the population. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X29 · Per-element action decided by a fixed element10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a decision taken once per element is taken ABOUT that element — a test inside a counted loop that reads a fixed subscript of the very collection its guarded statement indexes by the loop variable applies element zero's answer to all of them, so the elements that differ from it are all handled wrongly, and in the same direction.
Method: Roslyn syntax only, no semantic model: every `for` statement declaring exactly ONE loop variable, and every `if` inside its body that is not under a nested loop or a lambda. A site enters the population when the `if`’s condition never mentions the loop variable while the statement it guards indexes some collection by that variable ALONE (`c[i]`; `c[i + 1]` and `c[i, j]` are outside it). A finding additionally needs the AGREEING TWIN at the same-collection grain: the condition must read THAT SAME collection at a subscript that does not move — written into the condition, or reached through a local declared BEFORE the loop, so an alias bound inside the body is not followed. Both collection expressions must be simple identifiers. On a repository with no .NET source the same rule reads JavaScript/TypeScript off the engine’s own token stream (tests included, bundles and vendored paths not): a `for (let|var|const x = …; …; …)` with one declarator and a braced body, an alias followed only when it is declared before the loop in a block that encloses it and never assigned inside the loop. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether exceptions are handled rather than silently swallowed or rethrown with lost stack traces.
Method: Roslyn syntax scan: every catch clause counted; empty catches and bare rethrows flagged. Population is all catch clauses, not estimated. Deterministic, hard fact.
`case _: Throwable` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter. (×2) — tools/tapeout/src/main/scala/macrolib/SRAM.scala:59, generators/chipyard/src/main/scala/config/fragments/TileFragments.scala:34
What to do
Swallowed exception (caught, then discarded)
Do you agree with this assessment?
X30 · Support guard that admits what it rejects10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a guard written as a NEGATED `||` says what its author meant — `!(a || b || x != k)` is `!a && !b && x == k` by De Morgan, so a bail-out that mixes capabilities the code needs with a fault it refuses turns inside out: it fires only where the capabilities are ABSENT, and lets every value the fault term names walk straight into the body that cannot handle it.
Method: Roslyn syntax only, no semantic model: every logical-not whose operand is a parenthesised `||` chain of two or more disjuncts, flattened (a left-nested `a || b || c` read once would see `(a || b)` as one disjunct). A site enters the population on that shape alone. A finding additionally needs the disjuncts to DISAGREE in polarity: at least one bare boolean read — an identifier or member access, never an invocation, which is a predicate rather than a capability flag — and at least one `x != <constant>`, the only form that negates into an exact-value pin (`== null` negates into a looser requirement and is outside the fault set). Consistently-polarised disjunctions, all-fault or all-capability, are counted and never reported; a negated `&&` is outside the population entirely. No same-receiver gate: it was measured to cost a real defect and remove no false positive. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether Scala's null is held to the type system and not undermined by assertions — a file compiled with `-Yexplicit-nulls` is one where `String` excludes null and `String | Null` admits it, a file under WartRemover's `Null` wart or Scalafix's `DisableSyntax.noNulls` is one whose code cannot write `null` and must say `Option`, and each `.nn`, `import scala.language.unsafeNulls` or null-lint suppression is the author overruling that.
Method: Roslyn compiler-options scan: NullableContextOptions per project; null-forgiving (!) suppression density per 1k syntax nodes. Deterministic, adoption plus suppression penalty.
No build over this repository's 175 Scala product file(s) passes `-Yexplicit-nulls`, enables WartRemover's `Null` wart or runs Scalafix's `DisableSyntax.noNulls`, so every reference type admits null and nothing reports a `null` written into the code or returned from a Java API — the first one to reach a method call is a `NullPointerException`. `Option` by convention is a habit no tool here holds the code to.
What to do
On Scala 3, add `-Yexplicit-nulls` to `scalacOptions` so `String` and `String | Null` mean different things, and type each Java API's result as nullable where it can return null; on Scala 2 (or as a first step), enable WartRemover's `Null` wart (`wartremoverErrors += Wart.Null`) or Scalafix's `DisableSyntax.noNulls = true` so the code holds absence in `Option`. Then pay the assertions down rather than adding to them: each `.nn` is a null the compiler could not rule out — wrap the Java value in `Option(…)` at the boundary, pattern-match on `null` once there, or change the API so the null cannot arrive; an `unsafeNulls` import switches the checking off for everything after it.
Do you agree with this assessment?
Reference — by lens
The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.
Unscored — 1 check(s) recorded observations but carry no score
These checks ran and found something, but they do not carry a score — either by design (an advisory check reports evidence rather than grading it) or because they could not be scored here. They are excluded from the score for that reason, not because there was nothing to see.
X10 Duplicated predicate — 4 observation(s) recorded · Advisory — this card reports evidence and never carries a score.
Not evidenced — 1 control(s) we could not find positive evidence for
These checks grade a working control, and the repository shows no evidence of one. That is deliberately not scored as a zero: a repository cannot show an ops runbook, a database TTL or an infrastructure-side audit log, so absence of evidence here is not evidence the control is missing. It is also not a statement that the check is irrelevant to this codebase — the thing it grades applies; we just could not see it. Excluded from the score either way.
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
Not included — 56 check(s) not relevant to this codebase
These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.
AC1 Text alternatives — No web markup found — accessibility is not applicable to this repository.
AC2 Forms & labels — No web markup found — accessibility is not applicable to this repository.
AC3 Page structure — No web markup found — accessibility is not applicable to this repository.
AC4 Keyboard semantics — No web markup found — accessibility is not applicable to this repository.
AC5 ARIA correctness — No web markup found — accessibility is not applicable to this repository.
AC6 Visual & motion safety — No web markup found — accessibility is not applicable to this repository.
AC7 A11y enforcement — No web markup found — accessibility is not applicable to this repository.
AX1 Captive dependencies — Not applicable: this repository's Python imports no dependency-injection container and defines no container of its own — nothing that both registers and resolves bindings, and nothing that names two lifetimes — so nothing holds one lifetime's instance while handing out another's; this repository's Scala imports no dependency-injection container and defines no container of its own — nothing that both registers and resolves bindings, and nothing that names two lifetimes — so nothing holds one lifetime's instance while handing out another's.
AX2 Stateful singletons — No container singleton was found, so there is no shared instance for concurrent requests to race on. No function in this Python code is served by a threaded web framework (a Flask, Bottle or FastAPI route, a Django or Pyramid view), so no module is shared between request threads. No class in this Scala code is a Play controller, a Cask routes object, a Scalatra servlet, a Finatra controller, an Akka/Pekko HTTP routes holder or a JSR-330/Spring singleton, so no instance is shared between request threads. TypeScript/JavaScript runs each process's requests on one event loop, so no two requests write a shared object at the same instant (interleaving across an await is a different defect).
AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
AXR1 Runtime accessibility — the dev server did not expose a crawlable HTTP endpoint in time — no runtime evidence This is a statement about this run, not a statement about your application: nothing here says the surface is inaccessible, only that it was never rendered.
C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C3 Audit Trail — No personal data detected in a persisted data model — no PII-named column (email, first_name, date_of_birth, phone_number, …) or stored credential on a Slick table or in a SQL migration's CREATE TABLE or ALTER TABLE — and no database client (Slick, Doobie, Quill, ScalikeJDBC, Anorm, Skunk, a MongoDB or Cassandra driver, JDBC) imported either, so this repository keeps no sensitive data whose changes an audit trail would record. If it does (through a store configured outside this repository, for instance), the trail belongs to wherever that data is stored.
C4 Data Retention — No personal data detected in a persisted data model — no PII-named field (email, firstName, dateOfBirth, phoneNumber, …) or stored credential on a Slick table or in a SQL migration's CREATE TABLE or ALTER TABLE — and no database or data-store client (Slick, Doobie, Quill, ScalikeJDBC, Anorm, Skunk, JDBC, MongoDB, Cassandra, …) imported either, so this repository keeps no personal data whose lifetime a retention limit would bound.
C5 Data-Subject Rights — No personal data detected in a persisted data model — no PII-named field (email, firstName, dateOfBirth, phoneNumber, …) or stored credential on a Slick table or in a SQL migration's CREATE TABLE or ALTER TABLE — and no database or data-store client (Slick, Doobie, Quill, ScalikeJDBC, Anorm, Skunk, JDBC, MongoDB, Cassandra, …) imported either, so this repository keeps no personal data for a data subject to erase, export or consent over.
D10 Test Quality — ~506 lines of test source are present (.py, .scala) but no test cases reached the test census for this repository — no test root we could resolve declared them, or the files we read declare no cases in a test framework we recognise — so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
D11 Test Reliability — Test reliability not included — the .scala suite was found but not re-run
D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
D20 ADR Quality — N/A — ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
D21 Naming Consistency — Naming consistency is measured on C# only; JavaScript, Python, Scala not measured.
D22 Internal API Consistency — The exposed public-API surface could not be collected — no C#/VB projects loaded.
D23 Boundary Type-Coupling — No bounded-context organisation was detected either — neither a context-shaped layout, nor 2+ sibling source directories each declaring an aggregate root, nor 2+ projects each declaring an entity of their own. Declaring this codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
D24 Comment Value — D24 reads C# and Visual Basic comments only — this repository's production source is .py, .scala, which was left unread. Not scored: this is a gap in the analyzer, not a verdict about this repository.
D25 ADR Conformance — no ADRs to check
D27 Navigability — D27 counts a call into the standard library or a dependency as unresolved for this repository's language (.scala), so too few call sites counted as resolved to assess navigability. Not scored: this is a gap in the analyzer, not a verdict about this repository.
D32 Data Compliance (PII/GDPR) — 2 file(s) were not parsed by semgrep — the PII/GDPR ruleset never ran over them
D34 Knowledge Freshness — knowledge concentrated in recent work — freshness signal contradicted by repo activity
D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
D8 Code Coverage — Coverage not included — suite not readable by the collector
DM1 Domain Modelling — applicable but not scored (1 of 2 signals for this style — below the bar we score at): 135 value object(s)
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this lens looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this lens looks for
M4 Documentation accuracy — Not applicable: the 92 current-state document(s) make no claim of a kind M4 checks. 68 claim(s) of kinds M4 does not check were not checked (path 22, command argument 11, environment variable 35); M4 checks only links and versions.
P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, and the automatic-re-run check to any GitHub-Actions workflow, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
P7 Outbound HTTP resilience — not applicable — no HTTP server, API framework or worker entry point was found in the JVM, JavaScript/TypeScript, Python source, so there is no service whose uptime a failing dependency could take down
P8 Schema migrations — no ORM, schema-migration tool or schema auto-create was found in this repository's dependency manifests or source, so there is no database schema for this check to judge
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (`addSbtPlugin("org.scoverage" % "sbt-scoverage" % "<version>")` in `project/plugins.sbt`, then `sbt clean coverage test coverageReport`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures, or wire coverage collection into CI, to enable this cross-layer check
PF1 Benchmark discipline — Not applicable: no benchmark suite was found. This check searched for `@Benchmark` in a Java, Kotlin or Scala file importing JMH or kotlinx-benchmark, Jetpack Benchmark's `measureRepeated` in a file importing androidx.benchmark, or JMH/kotlinx-benchmark/androidx.benchmark in a pom.xml, Gradle or sbt build, and for a `*benchmark*` script that this repository's CI runs. Benchmarks are credited as a bonus, so their absence is neither scored nor deducted.
PF2 Allocation hygiene — Not applicable: allocation awareness is rated where code engineers for it — at least 400 production lines that ship benchmarks or already use allocation-aware idioms (8 or more). This repository's Scala code has 18,009 production line(s), 0 such use(s) and no benchmarks, so there is no allocation work to rate. The card is reward-only: its absence costs nothing.
S1 Web-Security Posture — Not assessed: these web-security controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks web-security controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
SC1 Supply-chain hygiene — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X32 Type resolved by simple name across every loaded assembly — This check is about how a .NET program searches the assemblies loaded into its process for a type, and this repository contains no .NET source, so there is nothing here for it to assess. Not a gap in the analyzer and not a finding about your code.
X4 Structured logging — This check asks whether log calls keep a message's values apart from its text, which needs a logger that can carry them as fields. This repository's Scala was read, and it logs through none that an interpolated message defeats: scala-logging takes an `s"…"` message apart into SLF4J's pattern and arguments at compile time, and log4s, grizzled-slf4j, Play's Logger, Akka's LoggingAdapter, sbt's Logger and Spark's Logging take one finished message (as log4net does in C#). Calls made straight through SLF4J (`org.slf4j.Logger`) would be judged.
X6 Hand-rolled structured-format parsing — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X7 Silent fallback defaults — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X9 Subsumed condition operand — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
Appendix A — Findings (grouped)
The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.
TodoComment tools/tapeout/src/main/scala/macros/CostMetric.scala:8— // TODO: eventually explore compiling a single target memory using multiple — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment tools/tapeout/src/main/scala/macros/CostMetric.scala:113— // TODO: write tests for this function to make sure it selects the right things — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment tools/tapeout/src/main/scala/macros/MacroCompiler.scala:27— // TODO The parameters could be unpacked here instead of keeping it in a serialized form — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment tools/tapeout/src/main/scala/macros/MacroCompiler.scala:265— // TODO: there's an optimization that could allow us to pack more — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment tools/tapeout/src/main/scala/macros/Utils.scala:64— // TODO: release it? — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment tools/tapeout/src/main/scala/macrolib/MacroLib.scala:7— // TODO: decide if we should always silently absorb errors — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment tools/tapeout/src/main/scala/macrolib/SRAM.scala:413— // TODO: validate based on family (e.g. 1rw must have a write enable, etc) — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment scripts/replace-content.py:49— # TODO: maybe remove all but last of replace_str, if there's more than one occurrence — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/firechip/goldengateimplementations/src/main/scala/BlockDevBridgeModule.scala:20— // TODO use HasBlockDeviceParameters — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/firechip/goldengateimplementations/src/main/scala/SimpleNICBridge.scala:113— // TODO: attach pcie_out to data — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/firechip/chip/src/main/scala/FireSim.scala:128— // TODO: currently, fpu mem. model optimizations are broken with model multi-threading so disable for now — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/firechip/chip/src/main/scala/Utils.scala:54— // TODO: The following should ensure sizes are equivalent. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/firechip/bridgestubs/src/main/scala/tsi/TSIBridge.scala:26— // TODO: Check following IOs are same size/names/etc — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/firechip/bridgestubs/src/main/scala/icenet/SimpleNICBridge.scala:26— // TODO: Check following IOs are same size/names/etc — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/firechip/bridgestubs/src/main/scala/iceblk/BlockDevBridge.scala:27— // TODO: Check following IOs are same size/names/etc — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/firechip/bridgestubs/src/main/scala/dmi/DMIBridge.scala:35— // TODO: Check following IOs are same size/names/etc — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/firechip/bridgeinterfaces/src/main/scala/BlockDevice.scala:27— // TODO: make this configurable — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/chipyard/src/main/scala/iobinders/IOBinders.scala:222— // TODO fix — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/chipyard/src/main/scala/example/CustomChipTop.scala:75— // TODO fix — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/chipyard/src/main/scala/example/FlatChipTop.scala:149— // TODO fix — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/chipyard/src/main/scala/harness/HarnessBinders.scala:125— // TODO FIX: This currently makes each SimDRAM contain the entire memory space — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/chipyard/src/main/scala/example/TutorialTile.scala:46— // TODO: Check — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/chipyard/src/main/scala/example/TutorialTile.scala:47— // TODO: Check — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/chipyard/src/main/scala/example/TutorialTile.scala:49— // TODO: Check — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment generators/chipyard/src/main/scala/example/TutorialTile.scala:64— // TODO: Check — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
HackComment generators/firechip/goldengateimplementations/src/main/scala/CospikeBridge.scala:49— // hack since for some reason padding a bool doesn't work... — a workaround marked in source: record what it is compensating for and what would allow its removal (the upstream fix, the API it is waiting on, the invariant it restores), so the next reader can judge whether it is still needed rather than rediscovering why it is there.
HackComment generators/firechip/chip/src/main/scala/Utils.scala:55— // HACK: Nasti and Diplomatic have diverged to the point where it's no — a workaround marked in source: record what it is compensating for and what would allow its removal (the upstream fix, the API it is waiting on, the invariant it restores), so the next reader can judge whether it is still needed rather than rediscovering why it is there.
HackComment generators/firechip/chip/src/main/scala/Utils.scala:114— // HACK: Nasti and Diplomatic have diverged to the point where it's no — a workaround marked in source: record what it is compensating for and what would allow its removal (the upstream fix, the API it is waiting on, the invariant it restores), so the next reader can judge whether it is still needed rather than rediscovering why it is there.
HackComment generators/firechip/chip/src/main/scala/Utils.scala:169— // HACK: Nasti and Diplomatic have diverged to the point where it's no — a workaround marked in source: record what it is compensating for and what would allow its removal (the upstream fix, the API it is waiting on, the invariant it restores), so the next reader can judge whether it is still needed rather than rediscovering why it is there.
HackComment generators/chipyard/src/main/scala/harness/HasHarnessInstantiators.scala:82— // hacky fix — a workaround marked in source: record what it is compensating for and what would allow its removal (the upstream fix, the API it is waiting on, the invariant it restores), so the next reader can judge whether it is still needed rather than rediscovering why it is there.
Duplicated block (5 lines × 2) generators/firechip/chip/src/main/scala/Utils.scala:70— generators/firechip/chip/src/main/scala/Utils.scala:70-74 | generators/firechip/chip/src/main/scala/Utils.scala:185-189 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Note what the matched lines are: every one of them assigns one field to another, so the block is a hand-written mapper between two data shapes rather than behaviour with a helper inside it. Extracting one shared function only works if both sites map the SAME pair of types in the same direction — check that first, because inverse or differently-typed mappers have no single function they can both call. Where they do not, the moves that exist are a generated or reflective mapper, a common embedded/base type the fields live on once, or accepting the run and covering it with a test that fails when a field is added to one side only.
Duplicated block (5 lines × 2) generators/firechip/chip/src/main/scala/Utils.scala:84— generators/firechip/chip/src/main/scala/Utils.scala:84-88 | generators/firechip/chip/src/main/scala/Utils.scala:200-204 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Note what the matched lines are: every one of them assigns one field to another, so the block is a hand-written mapper between two data shapes rather than behaviour with a helper inside it. Extracting one shared function only works if both sites map the SAME pair of types in the same direction — check that first, because inverse or differently-typed mappers have no single function they can both call. Where they do not, the moves that exist are a generated or reflective mapper, a common embedded/base type the fields live on once, or accepting the run and covering it with a test that fails when a field is added to one side only.
Duplicated block (5 lines × 2) tools/stage-chisel7/src/main/scala/package.scala:12— tools/stage-chisel7/src/main/scala/package.scala:12-16 | tools/stage/src/main/scala/package.scala:12-16 — before extracting anything, compare `tools/stage-chisel7/src/main/scala/package.scala` and `tools/stage/src/main/scala/package.scala` as WHOLE FILES: 100% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 1 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `tools/stage-chisel7/src/main/scala/package.scala:12` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (5 lines × 2) tools/tapeout/src/main/scala/macrolib/SRAM.scala:169— tools/tapeout/src/main/scala/macrolib/SRAM.scala:169-173 | tools/tapeout/src/main/scala/macrolib/SRAM.scala:181-185 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `tools/tapeout/src/main/scala/macrolib/SRAM.scala:169` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (5 lines × 2) tools/tapeout/src/main/scala/macrolib/SRAM.scala:121— tools/tapeout/src/main/scala/macrolib/SRAM.scala:121-125 | tools/tapeout/src/main/scala/macrolib/SRAM.scala:127-131 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `tools/tapeout/src/main/scala/macrolib/SRAM.scala:121` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Change coupling: BoomConfigs.scala ↔ HeteroConfigs.scala generators/chipyard/src/main/scala/config/BoomConfigs.scala:1— `generators/chipyard/src/main/scala/config/BoomConfigs.scala` and `generators/chipyard/src/main/scala/config/HeteroConfigs.scala` change together 71% of the time (12 of the 17 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well — a repo-wide or module-wide sweep is evidence about the sweep rather than about any pair inside it and is left out of BOTH sides of this ratio, while a dependency bump, a formatter/rename sweep, or a commit whose edit to one of the two files was a tool directive such as //go:generate or whitespace only is left out of the shared count ONLY, so the two sides are not taken over identical commit sets). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking. You can check this without leaving the row: of the 12 shared commits counted here, the most recent 3 are `4203d50b` Bump boom; `43b75640` Decoupled sbus width from boom|hwacha|gemmini memory interface widths…; `661038f9` Deduplicate across Chiypard configs into a ChipyardBaseConfig — run `git show` on any of them.
Change coupling: RocketConfigs.scala ↔ TutorialConfigs.scala generators/chipyard/src/main/scala/config/RocketConfigs.scala:1— `generators/chipyard/src/main/scala/config/RocketConfigs.scala` and `generators/chipyard/src/main/scala/config/TutorialConfigs.scala` change together 64% of the time (9 of the 14 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well — a repo-wide or module-wide sweep is evidence about the sweep rather than about any pair inside it and is left out of BOTH sides of this ratio, while a dependency bump, a formatter/rename sweep, or a commit whose edit to one of the two files was a tool directive such as //go:generate or whitespace only is left out of the shared count ONLY, so the two sides are not taken over identical commit sets). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking. You can check this without leaving the row: of the 9 shared commits counted here, the most recent 3 are `98fe7224` Remove no-dont-touch hack - this bug has been fixed in newer CIRCT; `3fa3d745` Support breaking out ChipTop I/O out of the expected bundle type; `149c89d7` Add option to disable ChipTop port dontTouch — run `git show` on any of them.
Change coupling: Configs.scala ↔ TestHarness.scala fpga/src/main/scala/vcu118/Configs.scala:1— `fpga/src/main/scala/vcu118/Configs.scala` and `fpga/src/main/scala/vcu118/TestHarness.scala` change together 50% of the time (14 of the 28 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well — a repo-wide or module-wide sweep is evidence about the sweep rather than about any pair inside it and is left out of BOTH sides of this ratio, while a dependency bump, a formatter/rename sweep, or a commit whose edit to one of the two files was a tool directive such as //go:generate or whitespace only is left out of the shared count ONLY, so the two sides are not taken over identical commit sets). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking. You can check this without leaving the row: of the 14 shared commits counted here, the most recent 3 are `4c9bcfc1` Enabling JTAG Debuging in VCU118 FPGA; `64ad77bb` Make FPGA flows use the harnessClockInstantiator; `ac281daa` Move TestHarness to chipyard.harness, make chipyard/harness directory — run `git show` on any of them.
Duplicated block (9 lines × 2) tools/tapeout/src/main/scala/macrolib/SRAM.scala:82— tools/tapeout/src/main/scala/macrolib/SRAM.scala:82-90 | tools/tapeout/src/main/scala/macrolib/SRAM.scala:202-210 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `tools/tapeout/src/main/scala/macrolib/SRAM.scala:82` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (9 lines × 2) tools/tapeout/src/main/scala/macros/Utils.scala:155— tools/tapeout/src/main/scala/macros/Utils.scala:155-163 | tools/tapeout/src/main/scala/macros/Utils.scala:168-176 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `tools/tapeout/src/main/scala/macros/Utils.scala:155` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just after the matched lines, `tools/tapeout/src/main/scala/macros/Utils.scala:179` calls `Some`, `PolarizedPort` and `tools/tapeout/src/main/scala/macros/Utils.scala:165` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.
Duplicated block (9 lines × 2) tools/stage-chisel7/src/main/scala/phases/GenerateArtefacts.scala:16— tools/stage-chisel7/src/main/scala/phases/GenerateArtefacts.scala:16-24 | tools/stage/src/main/scala/phases/GenerateArtefacts.scala:16-24 — before extracting anything, compare `tools/stage-chisel7/src/main/scala/phases/GenerateArtefacts.scala` and `tools/stage/src/main/scala/phases/GenerateArtefacts.scala` as WHOLE FILES: 100% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 1 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place.
Duplicated block (18 lines × 2) tools/stage-chisel7/src/main/scala/phases/GenerateTestSuiteMakefrags.scala:29— tools/stage-chisel7/src/main/scala/phases/GenerateTestSuiteMakefrags.scala:29-46 | tools/stage/src/main/scala/phases/GenerateTestSuiteMakefrags.scala:29-46 — before extracting anything, compare `tools/stage-chisel7/src/main/scala/phases/GenerateTestSuiteMakefrags.scala` and `tools/stage/src/main/scala/phases/GenerateTestSuiteMakefrags.scala` as WHOLE FILES: 100% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 1 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit.
Duplicated block (18 lines × 2) tools/stage-chisel7/src/main/scala/phases/PreElaboration.scala:24— tools/stage-chisel7/src/main/scala/phases/PreElaboration.scala:24-41 | tools/stage/src/main/scala/phases/PreElaboration.scala:24-41 — before extracting anything, compare `tools/stage-chisel7/src/main/scala/phases/PreElaboration.scala` and `tools/stage/src/main/scala/phases/PreElaboration.scala` as WHOLE FILES: 100% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 1 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit.
Duplicated block (11 lines × 2) tools/stage-chisel7/src/main/scala/ChipyardStage.scala:22— tools/stage-chisel7/src/main/scala/ChipyardStage.scala:22-32 | tools/stage/src/main/scala/ChipyardStage.scala:24-34 — before extracting anything, compare `tools/stage-chisel7/src/main/scala/ChipyardStage.scala` and `tools/stage/src/main/scala/ChipyardStage.scala` as WHOLE FILES: 100% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 2 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `tools/stage-chisel7/src/main/scala/ChipyardStage.scala:22` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (11 lines × 2) generators/firechip/chip/src/main/scala/Utils.scala:58— generators/firechip/chip/src/main/scala/Utils.scala:58-68 | generators/firechip/chip/src/main/scala/Utils.scala:172-182 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Note what the matched lines are: every one of them assigns one field to another, so the block is a hand-written mapper between two data shapes rather than behaviour with a helper inside it. Extracting one shared function only works if both sites map the SAME pair of types in the same direction — check that first, because inverse or differently-typed mappers have no single function they can both call. Where they do not, the moves that exist are a generated or reflective mapper, a common embedded/base type the fields live on once, or accepting the run and covering it with a test that fails when a field is added to one side only.
Duplicated block (10 lines × 2) tools/stage-chisel7/src/main/scala/ChipyardStage.scala:41— tools/stage-chisel7/src/main/scala/ChipyardStage.scala:41-50 | tools/stage/src/main/scala/ChipyardStage.scala:48-57 — before extracting anything, compare `tools/stage-chisel7/src/main/scala/ChipyardStage.scala` and `tools/stage/src/main/scala/ChipyardStage.scala` as WHOLE FILES: 100% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 2 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `tools/stage-chisel7/src/main/scala/ChipyardStage.scala:41` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10 lines × 2) tools/stage-chisel7/src/main/scala/StageUtils.scala:13— tools/stage-chisel7/src/main/scala/StageUtils.scala:13-22 | tools/stage/src/main/scala/StageUtils.scala:13-22 — before extracting anything, compare `tools/stage-chisel7/src/main/scala/StageUtils.scala` and `tools/stage/src/main/scala/StageUtils.scala` as WHOLE FILES: 100% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 2 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit.
Duplicated block (8 lines × 2) generators/firechip/chip/src/main/scala/Utils.scala:89— generators/firechip/chip/src/main/scala/Utils.scala:89-96 | generators/firechip/chip/src/main/scala/Utils.scala:205-212 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Note what the matched lines are: every one of them assigns one field to another, so the block is a hand-written mapper between two data shapes rather than behaviour with a helper inside it. Extracting one shared function only works if both sites map the SAME pair of types in the same direction — check that first, because inverse or differently-typed mappers have no single function they can both call. Where they do not, the moves that exist are a generated or reflective mapper, a common embedded/base type the fields live on once, or accepting the run and covering it with a test that fails when a field is added to one side only.
Duplicated block (8 lines × 2) tools/tapeout/src/main/scala/macros/Utils.scala:131— tools/tapeout/src/main/scala/macros/Utils.scala:131-138 | tools/tapeout/src/main/scala/macros/Utils.scala:142-149 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `tools/tapeout/src/main/scala/macros/Utils.scala:131` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just after the matched lines, `tools/tapeout/src/main/scala/macros/Utils.scala:150` calls `Some`, `PolarizedPort` and `tools/tapeout/src/main/scala/macros/Utils.scala:139` does not — after which the two agree again for 3 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.
Swallowed exception (caught, then discarded) tools/tapeout/src/main/scala/macrolib/SRAM.scala:59— `case _: Throwable` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter.
Swallowed exception (caught, then discarded) generators/chipyard/src/main/scala/config/fragments/TileFragments.scala:34— `case _: Throwable` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter.
MacroCompilerPass.compile (cyclomatic 51) tools/tapeout/src/main/scala/macros/MacroCompiler.scala:297— MacroCompilerPass.compile has cyclomatic complexity 51 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top. This file is where this pass's cyclomatic complexity CONCENTRATES: tools/tapeout/src/main/scala/macros/MacroCompiler.scala holds 3 of the 7 methods over the threshold — including the worst — and 49 of the 71 points over it (69%), 4.5× the next-largest file (generators/chipyard/src/main/scala/TestSuites.scala at 11). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
TestSuiteHelper.addGenericTestSuites (cyclomatic 26) generators/chipyard/src/main/scala/TestSuites.scala:66— TestSuiteHelper.addGenericTestSuites has cyclomatic complexity 26 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
MacroCompilerPass.run (cyclomatic 24) tools/tapeout/src/main/scala/macros/MacroCompiler.scala:602— MacroCompilerPass.run has cyclomatic complexity 24 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing. This file is where this pass's cyclomatic complexity CONCENTRATES: tools/tapeout/src/main/scala/macros/MacroCompiler.scala holds 3 of the 7 methods over the threshold — including the worst — and 49 of the 71 points over it (69%), 4.5× the next-largest file (generators/chipyard/src/main/scala/TestSuites.scala at 11). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
uniquify-module-names._iter_filelist_entries (cyclomatic 20) scripts/uniquify-module-names.py:209— uniquify-module-names._iter_filelist_entries has cyclomatic complexity 20 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
IOMacro.parseJSON (cyclomatic 19) tools/tapeout/src/main/scala/macrolib/IOMacro.scala:60— IOMacro.parseJSON has cyclomatic complexity 19 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing.
MacroCompilerPass.calculateBitPairs (cyclomatic 19) tools/tapeout/src/main/scala/macros/MacroCompiler.scala:163— MacroCompilerPass.calculateBitPairs has cyclomatic complexity 19 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top. This file is where this pass's cyclomatic complexity CONCENTRATES: tools/tapeout/src/main/scala/macros/MacroCompiler.scala holds 3 of the 7 methods over the threshold — including the worst — and 49 of the 71 points over it (69%), 4.5× the next-largest file (generators/chipyard/src/main/scala/TestSuites.scala at 11). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
SRAMGroup.parseJSON (cyclomatic 17) tools/tapeout/src/main/scala/macrolib/SRAM.scala:145— SRAMGroup.parseJSON has cyclomatic complexity 17 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
MacroCompilerPass.compile (cognitive 110) tools/tapeout/src/main/scala/macros/MacroCompiler.scala:297— MacroCompilerPass.compile has cognitive complexity 110 (threshold 15). Drivers by points: if/else 19 (52 pts), match/switch 14 (49 pts), loops 4 (8 pts), boolean chains 1 (nesting depth added 72). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body. This file is where this pass's cognitive complexity CONCENTRATES: tools/tapeout/src/main/scala/macros/MacroCompiler.scala holds 5 of the 16 methods over the threshold — including the worst — and 189 of the 348 points over it (54%), 2.7× the next-largest file (scripts/uniquify-module-names.py at 71). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
TestSuiteHelper.addGenericTestSuites (cognitive 58) generators/chipyard/src/main/scala/TestSuites.scala:66— TestSuiteHelper.addGenericTestSuites has cognitive complexity 58 (threshold 15). Drivers by points: if/else 41 (58 pts) (nesting depth added 17). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
uniquify-module-names._iter_filelist_entries (cognitive 57) scripts/uniquify-module-names.py:209— uniquify-module-names._iter_filelist_entries has cognitive complexity 57 (threshold 15). Drivers by points: if/else 13 (46 pts), loops 3 (6 pts), boolean chains 3, error handling 1 (2 pts) (nesting depth added 37). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
MacroCompilerPass.calculateBitPairs (cognitive 54) tools/tapeout/src/main/scala/macros/MacroCompiler.scala:163— MacroCompilerPass.calculateBitPairs has cognitive complexity 54 (threshold 15). Drivers by points: if/else 21 (48 pts), loops 2 (3 pts), match/switch 1 (3 pts) (nesting depth added 30). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body. This file is where this pass's cognitive complexity CONCENTRATES: tools/tapeout/src/main/scala/macros/MacroCompiler.scala holds 5 of the 16 methods over the threshold — including the worst — and 189 of the 348 points over it (54%), 2.7× the next-largest file (scripts/uniquify-module-names.py at 71). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
MacroCompilerPass.run (cognitive 50) tools/tapeout/src/main/scala/macros/MacroCompiler.scala:602— MacroCompilerPass.run has cognitive complexity 50 (threshold 15). Drivers by points: match/switch 9 (22 pts), loops 3 (13 pts), if/else 7 (12 pts), boolean chains 3 (nesting depth added 28). The drivers above price the dispatch low by construction — a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full — so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident. This file is where this pass's cognitive complexity CONCENTRATES: tools/tapeout/src/main/scala/macros/MacroCompiler.scala holds 5 of the 16 methods over the threshold — including the worst — and 189 of the 348 points over it (54%), 2.7× the next-largest file (scripts/uniquify-module-names.py at 71). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
uniquify-module-names.bfs_uniquify_modules (cognitive 43) scripts/uniquify-module-names.py:428— uniquify-module-names.bfs_uniquify_modules has cognitive complexity 43 (threshold 15). Drivers by points: if/else 8 (23 pts), ternaries 2 (9 pts), loops 3 (7 pts), error handling 1 (3 pts), boolean chains 1 (nesting depth added 28). To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function.
SRAMGroup.parseJSON (cognitive 39) tools/tapeout/src/main/scala/macrolib/SRAM.scala:145— SRAMGroup.parseJSON has cognitive complexity 39 (threshold 15). Drivers by points: if/else 20 (26 pts), match/switch 11 (13 pts) (nesting depth added 8). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.
MacroCompilerTransform.execute (cognitive 32) tools/tapeout/src/main/scala/macros/MacroCompiler.scala:701— MacroCompilerTransform.execute has cognitive complexity 32 (threshold 15). Drivers by points: if/else 14 (20 pts), match/switch 7 (12 pts) (nesting depth added 11). The drivers above price the dispatch low by construction — a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full — so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident. This file is where this pass's cognitive complexity CONCENTRATES: tools/tapeout/src/main/scala/macros/MacroCompiler.scala holds 5 of the 16 methods over the threshold — including the worst — and 189 of the 348 points over it (54%), 2.7× the next-largest file (scripts/uniquify-module-names.py at 71). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
SRAMMacro.parseJSON (cognitive 25) tools/tapeout/src/main/scala/macrolib/SRAM.scala:47— SRAMMacro.parseJSON has cognitive complexity 25 (threshold 15). Drivers by points: if/else 13 (15 pts), match/switch 8, error handling 1 (2 pts) (nesting depth added 3). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.
IOCell.generateFromSignal (cognitive 18) generators/chipyard/src/main/scala/iocell/IOCell.scala:211— IOCell.generateFromSignal has cognitive complexity 18 (threshold 15). Drivers by points: if/else 8 (10 pts), match/switch 4 (8 pts) (nesting depth added 6). The drivers above price the dispatch low by construction — a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full — so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident.
UPFGenerator.createPowerStateTable (cognitive 18) generators/chipyard/src/main/scala/upf/UPFGen.scala:179— UPFGenerator.createPowerStateTable has cognitive complexity 18 (threshold 15). Drivers by points: if/else 7 (10 pts), loops 3 (4 pts), match/switch 1 (4 pts) (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
MacroCompiler.run (cognitive 18) tools/tapeout/src/main/scala/macros/MacroCompiler.scala:866— MacroCompiler.run has cognitive complexity 18 (threshold 15). Drivers by points: match/switch 5 (9 pts), if/else 5 (6 pts), error handling 3 (nesting depth added 5). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident. This file is where this pass's cognitive complexity CONCENTRATES: tools/tapeout/src/main/scala/macros/MacroCompiler.scala holds 5 of the 16 methods over the threshold — including the worst — and 189 of the 348 points over it (54%), 2.7× the next-largest file (scripts/uniquify-module-names.py at 71). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
ConfReader.generateFirrtlPort (cognitive 17) tools/tapeout/src/main/scala/macrolib/ConfReader.scala:31— ConfReader.generateFirrtlPort has cognitive complexity 17 (threshold 15). Drivers by points: if/else 14, boolean chains 3. To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
FillerMacroBase.parseJSON (cognitive 17) tools/tapeout/src/main/scala/macrolib/FillerMacroBase.scala:23— FillerMacroBase.parseJSON has cognitive complexity 17 (threshold 15). Drivers by points: match/switch 7 (10 pts), if/else 7 (nesting depth added 3). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident.
IOMacro.parseJSON (cognitive 16) tools/tapeout/src/main/scala/macrolib/IOMacro.scala:60— IOMacro.parseJSON has cognitive complexity 16 (threshold 15). Drivers by points: if/else 8, match/switch 8. The drivers above price the dispatch low by construction — a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full — so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident.
uniquify-module-names.get_modules_in_filelist (cognitive 16) scripts/uniquify-module-names.py:277— uniquify-module-names.get_modules_in_filelist has cognitive complexity 16 (threshold 15). Drivers by points: if/else 5 (9 pts), loops 2 (4 pts), ternaries 1 (3 pts) (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
FileTooLong: macros/MacroCompiler.scala tools/tapeout/src/main/scala/macros/MacroCompiler.scala— FileTooLong — 590 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 90 over it, 1.18× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
Change-coupling hub: FlatTestHarness.scala → ChipConfigs.scala, HarnessBinders.scala, BridgeBinders.scala generators/chipyard/src/main/scala/example/FlatTestHarness.scala— `generators/chipyard/src/main/scala/example/FlatTestHarness.scala` changes together with 3 other files — `generators/chipyard/src/main/scala/config/ChipConfigs.scala`, `generators/chipyard/src/main/scala/harness/HarnessBinders.scala`, `generators/firechip/chip/src/main/scala/BridgeBinders.scala` — none of which declares a dependency on it: one file is the hub of 3 separate couplings, not 3 unrelated pairs. Read the hub first: if the others each duplicate a part of what it does, the shared concern belongs in ONE unit and extracting it clears every edge at once; if the hub is a registry, dispatcher or barrel that must name each of them, the coupling is structural and the question is whether that list can be discovered instead of enumerated. Fixing the hub is one change; breaking the couplings one pair at a time is 3.
Near-duplicate member pair (29 shared lines) generators/firechip/chip/src/main/scala/Utils.scala:53— generators/firechip/chip/src/main/scala/Utils.scala:53-111 | generators/firechip/chip/src/main/scala/Utils.scala:168-224 — These two members are variants of one another: 29 of their lines are already reported as duplicated blocks below, spread through both bodies rather than gathered into one. Read them as a single construct written twice. The repair is at the members' grain — factor the shared pipeline into one implementation the two call with their differences as parameters or as an injected step, or, where the difference is systematic (sync against async, one transport against another), generate one from the other. Extracting the individual blocks below is not the same fix: it leaves the two bodies in place and the next edit still has to be made twice.
Duplicated block (30 lines × 2) tools/stage-chisel7/src/main/scala/phases/Checks.scala:16— tools/stage-chisel7/src/main/scala/phases/Checks.scala:16-45 | tools/stage/src/main/scala/phases/Checks.scala:16-45 — before extracting anything, compare `tools/stage-chisel7/src/main/scala/phases/Checks.scala` and `tools/stage/src/main/scala/phases/Checks.scala` as WHOLE FILES: 100% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 1 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit.
Duplicated block (16 lines × 2) tools/stage-chisel7/src/main/scala/phases/GenerateFirrtlAnnos.scala:17— tools/stage-chisel7/src/main/scala/phases/GenerateFirrtlAnnos.scala:17-32 | tools/stage/src/main/scala/phases/GenerateFirrtlAnnos.scala:17-32 — before extracting anything, compare `tools/stage-chisel7/src/main/scala/phases/GenerateFirrtlAnnos.scala` and `tools/stage/src/main/scala/phases/GenerateFirrtlAnnos.scala` as WHOLE FILES: 100% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 1 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit.
Duplicated block (12 lines × 2) fpga/src/main/scala/vcu118/FMCUtil.scala:12— fpga/src/main/scala/vcu118/FMCUtil.scala:12-23 | fpga/src/main/scala/vcu118/FMCUtil.scala:96-107 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `fpga/src/main/scala/vcu118/FMCUtil.scala:12` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10–11 lines × 2) tools/tapeout/src/main/scala/macros/Utils.scala:200— tools/tapeout/src/main/scala/macros/Utils.scala:200-209 | tools/tapeout/src/main/scala/macros/Utils.scala:211-221 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `tools/tapeout/src/main/scala/macros/Utils.scala:200` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (6 lines × 2) tools/tapeout/src/main/scala/macrolib/SRAM.scala:174— tools/tapeout/src/main/scala/macrolib/SRAM.scala:174-179 | tools/tapeout/src/main/scala/macrolib/SRAM.scala:186-191 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `tools/tapeout/src/main/scala/macrolib/SRAM.scala:174` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (50 lines × 2) fpga/src/main/scala/arty100t/Harness.scala:22— fpga/src/main/scala/arty100t/Harness.scala:22-77 | fpga/src/main/scala/datastorm/Harness.scala:21-70 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `fpga/src/main/scala/arty100t/Harness.scala:22` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (60 lines × 2) fpga/src/main/scala/genesys2/Harness.scala:22— fpga/src/main/scala/genesys2/Harness.scala:22-81 | fpga/src/main/scala/nexysvideo/Harness.scala:21-80 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `fpga/src/main/scala/genesys2/Harness.scala:22` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (7 lines × 2) tools/stage-chisel7/src/main/scala/StageUtils.scala:24— tools/stage-chisel7/src/main/scala/StageUtils.scala:24-30 | tools/stage/src/main/scala/StageUtils.scala:24-30 — before extracting anything, compare `tools/stage-chisel7/src/main/scala/StageUtils.scala` and `tools/stage/src/main/scala/StageUtils.scala` as WHOLE FILES: 100% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 2 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place.
Off the main sequence: firechip_bridgeinterfaces — firechip_bridgeinterfaces: abstractness 0.07, instability 0.00, distance 0.93 — zone of pain — concrete and depended on by 2 project(s), so it's rigid to change.
No structured logging — No logging or diagnostics emission found. This repository ships a binary its users launch rather than a service you operate, so there is no operator to page — but when a run fails on a user's machine, neither they nor you have anything to read.
X17 · Uncapped recursion over a caller-supplied document· Recursive walk over a caller-supplied document has no depth cap · ×1
Recursive walk over a caller-supplied document has no depth cap scripts/uniquify-module-names.py:501— `dfs_update_modules` is public and takes `tree: Dict[str, Any]` from its caller, and it calls itself at line 501 (`dfs_update_modules`) with a piece of `tree` — and nowhere in `dfs_update_modules` is there a depth parameter, a descent counter, or any other cap. The walk therefore spends one stack frame per LEVEL of the value it is handed, so the nesting of the caller's document — not this code — decides how deep the stack goes. Python's parsers accept far more nesting than its stack allows: `json.loads` turns 3,000 bytes of brackets into 1,500 levels and `xml.etree.ElementTree` parses tens of thousands, while a walk like this one raises `RecursionError` once it passes the interpreter's default limit of 1,000 frames. Wherever that exception lands, the work fails: a request errors, and outside any `try` the worker or the program exits with it. Raising `sys.setrecursionlimit` only moves the number the document has to beat. Thread a depth argument through `dfs_update_modules` and reject the value past a fixed maximum, or rewrite the descent with an explicit stack.
X18 · Disposal-pattern correctness· Disposable created and abandoned in the function that made it · ×1
Disposable created and abandoned in the function that made it tools/tapeout/src/main/scala/macrolib/Utils.scala:44— `scala.io.Source.fromFile(…)` opens something that has to be given back — a file descriptor, a socket, a directory handle — and its only use reads `.mkString` through it and drops it, so this expression both creates the value and is the last place that can release it, and does not. Every call leaks one more open handle until the collector happens to reach it: `Too many open files` under load, and on Windows a file that cannot be replaced or deleted while it is held. Open it with `scala.util.Using.resource(scala.io.Source.fromFile(…)) { r => … }`, which releases it on every path including a throw, or hold it and call `.close()` in a `finally`.
X2 · Cancellation propagation· Async function without AbortSignal · ×1
Async function without AbortSignal: fetchAddonsData docs/public/readthedocs-version-switcher.js:147— `fetchAddonsData` awaits `fetch(…)` but neither accepts an AbortSignal nor passes one on, so its caller cannot stop the request once it has started. Accept `{ signal }` and pass it through: `fetch(url, { signal })`.
Duplicated predicate generators/firechip/goldengateimplementations/src/main/scala/CospikeBridge.scala:124— `!anyValidRemainMux || (counter === (armCount - 1).U)` appears character-identically in 2 files — generators/firechip/goldengateimplementations/src/main/scala/CospikeBridge.scala, generators/firechip/goldengateimplementations/src/main/scala/TracerVBridge.scala. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate tools/stage-chisel7/src/main/scala/ChipyardOptions.scala:38— `!topPackage.isEmpty && !configClass.isEmpty` appears character-identically in 2 files — tools/stage-chisel7/src/main/scala/ChipyardOptions.scala, tools/stage/src/main/scala/ChipyardOptions.scala. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate fpga/src/main/scala/genesys2/Harness.scala:87— `harnessBinderReset.asBool || !ddrOverlay.get.mig.module.io.port.init_calib_complete` appears character-identically in 2 files — fpga/src/main/scala/genesys2/Harness.scala, fpga/src/main/scala/nexysvideo/Harness.scala. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate fpga/src/main/scala/vc707/TestHarness.scala:109— `resetIBUF.io.O || powerOnReset || ereset` appears character-identically in 2 files — fpga/src/main/scala/vc707/TestHarness.scala, fpga/src/main/scala/vcu118/TestHarness.scala. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 1 significant file(s) lose their only recent owner: generators/firechip/goldengateimplementations/src/main/scala/CTCBridge.scala. Pair on, review, or document these before any departure.
D26 · Project Cohesion· Projects may be oversized for their cohesion · ×1
Projects may be oversized for their cohesion — 1 of 2 project(s) overshoot their size bounds, lowering Project Cohesion to 0.0/10. The most over is `(repository root)` (16360 LoC, 932 module-visible types across 40 directories). Review these for cohesion — draw the boundary inside the module first (group each responsibility into its own package or directory and keep the cross-boundary members non-public), since splitting a published package moves types between packages and breaks consumers.
No ADRs — No Architecture Decision Records found — no conventional ADR directory, no numbered `NNNN-title` documents in any markup this check reads, and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
X2 · Cancellation propagation· Not all async functions that make a request accept an AbortSignal · ×1
Not all async functions that make a request accept an AbortSignal — Only 0/1 async functions that make a cancellable request (fetch, axios, ky, ofetch) accept an AbortSignal or pass one on, so a request keeps running after whatever wanted it has given up — a page navigated away from, an unmounted component, a timed-out job. Take a `signal` (or an options object that carries one) and hand it to the request; where nothing could ever cancel the call, omitting it is a deliberate choice — judge against how the function is used.
X5 · Nullable reference types· Scala's null is not held to the type system everywhere · ×1
Scala's null is not held to the type system everywhere — No build over this repository's 175 Scala product file(s) passes `-Yexplicit-nulls`, enables WartRemover's `Null` wart or runs Scalafix's `DisableSyntax.noNulls`, so every reference type admits null and nothing reports a `null` written into the code or returned from a Java API — the first one to reach a method call is a `NullPointerException`. `Option` by convention is a habit no tool here holds the code to.
Outdated: com.github.scopt:scopt_2.13 — `com.github.scopt %% scopt_2.13` is declared at 4.1.0 in REDACTED, but 4.2.0 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 4.1.0 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: com.lihaoyi:mainargs_2.13 — `com.lihaoyi %% mainargs_2.13` is declared at 0.5.0 in REDACTED, but 0.7.8 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 0.5.0 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: com.lihaoyi:os-lib_2.13 — `com.lihaoyi %% os-lib_2.13` is declared at 0.8.1 in REDACTED, but 0.11.8 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 0.8.1 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: com.lihaoyi:sourcecode_2.13 — `com.lihaoyi %% sourcecode_2.13` is declared at 0.3.1 in REDACTED, but 0.4.4 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 0.3.1 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: com.lihaoyi:ujson_2.13 — `com.lihaoyi %% ujson_2.13` is declared at 3.1.0 in REDACTED, but 4.4.3 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 3.1.0 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: com.typesafe.play:play-json_2.13 — `com.typesafe.play %% play-json_2.13` is declared at 2.9.2 in REDACTED, but 2.10.8 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 2.9.2 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: io.github.json4s:json4s-jackson_2.13 — `io.github.json4s %% json4s-jackson_2.13` is declared at 4.1.0 in REDACTED, but 4.1.1 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 4.1.0 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: org.apache.commons:commons-lang3 — `org.apache.commons %% commons-lang3` is declared at 3.12.0 in REDACTED, but 3.21.0 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 3.12.0 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: org.apache.commons:commons-text — `org.apache.commons %% commons-text` is declared at 1.9 in REDACTED, but 1.15.0 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 1.9 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: org.chipsalliance:chisel_2.13 — `org.chipsalliance %% chisel_2.13` is declared at 6.7.0 in REDACTED, but 7.16.0 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 6.7.0 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: org.json4s:json4s-jackson_2.13 — `org.json4s %% json4s-jackson_2.13` is declared at 4.0.5 in REDACTED, but 4.0.7 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 4.0.5 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: org.scala-graph:graph-core_2.13 — `org.scala-graph %% graph-core_2.13` is declared at 1.13.5 in REDACTED, but 2.0.3 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 1.13.5 until the declaration is edited — there is no lockfile refresh that would move it.
Outdated: org.scala-lang.modules:scala-parallel-collections_2.13 — `org.scala-lang.modules %% scala-parallel-collections_2.13` is declared at 1.0.4 in REDACTED, but 1.3.0 is the current release on Maven Central. An sbt declaration names an exact version, so this repository builds against 1.0.4 until the declaration is edited — there is no lockfile refresh that would move it.
Appendix B — Reproduction & audit trail
Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.
semgrep: not applicable — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that. semgrep could not parse 2 file(s) — `tools/stage-chisel7/src/main/scala/phases/GenerateArtefacts.scala`, `tools/stage/src/main/scala/phases/GenerateArtefacts.scala` — so the PII/GDPR sweep did not cover them at all.
disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
Run 01a176ad-df87-79c1-8714-1b39f59da412 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 29 · Warnings: 111 · Recommendations: 12 · Info: 13 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 26-10-2026 @ 05:27 UTC.
Downloadable artifacts
Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.