Public report of fsprojects/Argu, published 23 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 report Measured 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, 23 October 2026, 20:05 UTC · Survey ID cd_be71275b488847f1882dd1e85ad52396

fsprojects/Argu

Measured 23 October 2026, 20:01 UTC, at code version 8dcad5b

No regression since the last survey Code coverage: not measuredTest reliability: not measuredSupply-chain provenance & signing: not measured

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.

Code coverage is not measured: No coverage collector is wired up.

Test reliability is not measured: No test run produced results.

Supply-chain provenance & signing is not measured: Supply-chain provenance is not scored (this pipeline releases no artifact), but its build steps or GitHub Actions workflows have integrity defects, or nothing watches its dependency set for published advisories.

CAI score 63out of 100 Adequate
CriticalWeakAdequateStrongExemplary
Up 1 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.

Architecture 98 Exemplary Security and Compliance 96 Exemplary Code Health 79 Strong Performance 76 Strong Production Readiness 74 Strong Maturity 46 Weak

A small codebase: 3,381 lines of product code in 8 projects, tests not counted · Estimated rebuild effort: about 0.1 person-years · Weakest lens: Maturity, 46

Findings by how serious they are

9 critical 34 serious 14 minor

35 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
23 October 2026, 20:01 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.

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 ▸

39of 42 dimensions measured by tools. The other 3 are advisory notes from an AI model, which explain the code but don't count towards the score.
46of 57 findings point to an exact file and line, so you can open each one in the code. The other 11 concern the repository as a whole, such as missing documentation.
42dimensions across 6 lenses, read from 3,381 lines of product code in 8 projects.
Chapters

Executive summary

fsprojects/Argu scores 63 out of 100 and is rated Adequate, while five of its six lenses score higher still: Architecture at 98 and Security and Compliance at 96, both rated Exemplary, and Code Health at 79, Performance at 76 and Production Readiness at 74, all rated Strong.

The score is lower than those five because the weakest lens counts most, and here that is Maturity, which scores 46 and is rated Weak. Its Architecture documentation dimension scores 0 out of 10, and until that reaches 4, Maturity can't be rated higher than Adequate. The first actions are to resolve the 1 Off-boarding risk finding(s) in Bus Factor and to record your significant design decisions, and if Maturity rose to 70, the score would rise from 63 to about 74.

Nine findings are critical: eight in Static Analysis (SAST) and one in IaC & Container Security.

Watchdog couldn't measure 34 dimensions in this code, among them Explicit Debt, Data Protection and Access Controls, so they are left out of the score. The product code is 3,381 lines, which would take an estimated 0.1 person-years, around €5,400, to rebuild.

Code Health 79 Strong Architecture 98 ★ Exemplary Maturity 46 Weak, capped by Architecture documentation Production Readiness 74 Strong Security and Compliance 96 ★ Exemplary Performance 76 Strong
How the score is built: what each lens counts for The 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.
Maturity 46 · counts for 46%Production Readiness 74 · counts for 25%Performance 76 · counts for 14%Code Health 79 · counts for 8%Security and Compliance 96 · counts for 4%Architecture 98 · counts for 2%

If Maturity rose from 46 to 70, the lowest score rated Strong, the score would rise from 63 to about 74.

Code composition: what the lines of code are
Product code 71%Tests 29%
New since the last survey: 1 finding

This critical or serious finding wasn't in the previous survey, on 9 October 2026.

Watchdog compares every finding with the previous survey's. A finding that has only moved to another line in the same file counts as the same finding, so only new findings appear here. Advisory notes from the AI model are left out, because the model words them afresh in every survey.

Fixed since the last survey: 2 findings

These 2 critical or serious findings were in the previous survey, on 9 October 2026, and are gone from this one.

  • Supply-chain Provenance & Signing · Unpinned build actions
  • Supply-chain Provenance & Signing REDACTED
Rebuild cost: about €5,400 · Estimate
Cost to rebuild€1,800 to €9,000, for 30 to 95 hours of work, about 0.1 person-years for one engineer
Difficulty of the problemStandard, 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×0.9 at a score of 63. 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.
SizeSmall: 3,381 lines of product code

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
Resolve the 1 Off-boarding risk finding(s) in Bus Factor.
Raises the score by about 9 points · Low effort · Bus Factor
2
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.
Raises the score by about 14 points · Medium effort · Architecture documentation
3
Resolve the 1 Documentation finding(s) in Documentation Quality — start with README.md.
Raises the score by about 5 points · Low effort · Documentation Quality

Diagnosis: what the measurements show together

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 €5,400 to build again, about 0.1 person-years of work. Its weakest lens is Maturity, at 46 (Weak). Maturity is about how well the project explains and looks after itself, which decides whether a new developer, or a new supplier, can take over. Because the weakest lens counts most in the score, work on Maturity also moves the score most.
Based on: the rebuild estimate · the Maturity grade · how much each lens counts
What to do: Start with the Maturity actions in Top priorities.
If you do one thing first · First action
Resolve the 1 Off-boarding risk finding(s) in Bus Factor. Of all the actions in this report, it raises the score most for the work it takes: about 9 points for low effort, because it clears the 1 Bus Factor findings. 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 — a layering smell or cycle. A clean layered graph has none.

arch Argu Argu Argu.Extensions.Configuration Configuration Argu.Extensions.Configuration->Argu Argu.SourceGenerator SourceGenerator

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.

44 modules, with 38 dependencies between them. One loop runs through 2 of the modules, marked above the diagonal.

The table shows the 40 modules with the most connections; 4 more are left out to keep it readable.

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.
uses →1 Benchmarks.Program2 CliPrefix3 PreCompute.FastAttributes4 Samples.LS.Main5 SourceGenerator6 Tests7 Tests.AutoGenerated8 Tests.EnvVarTests.Prefixed9 TrimMessages10 Utils11 Utils.Seq12 UnionArgInfo13 Argu14 PreCompute15 ArguAttributes16 ArgumentParserUtils17 Benchmarks.Schema18 CliParser19 CommonParsers20 Extensions.Configuration21 KeyValueParser22 PreCompute.Helpers23 Samples.Introspect.Arguments24 Samples.Introspect.Main25 Samples.LS26 Samples.SourceGenerated.Program27 Tests.CoverageTests28 Tests.EnvVarTests29 Tests.Main30 Tests.PrimitiveTests31 Tests.SeparatorAttributeTests32 Tests.SeparatorAttributeTests.ColonOrSpaced33 Tests.SeparatorAttributeTests.LegacyValidations34 Tests.SeparatorAttributeTests.SeparatorAttributeWithEquals35 Tests.UsageStrings36 Tests.UsageStrings.Issue17337 UnParsers38 Benchmarks39 Tests.PrimitiveTests.Traps for defaulting and or post-processing functions40 Tests.SeparatorAttributeTests.Assignment
1 Benchmarks.Program
2 CliPrefix
3 PreCompute.FastAttributes
4 Samples.LS.Main
5 SourceGenerator
6 Tests
7 Tests.AutoGenerated
8 Tests.EnvVarTests.Prefixed
9 TrimMessages
10 Utils
11 Utils.Seq
12 UnionArgInfo26
13 Argu5
14 PreCompute4
15 ArguAttributes1
16 ArgumentParserUtils2
17 Benchmarks.Schema1
18 CliParser142
19 CommonParsers65
20 Extensions.Configuration2
21 KeyValueParser72
22 PreCompute.Helpers21
23 Samples.Introspect.Arguments4
24 Samples.Introspect.Main1
25 Samples.LS1
26 Samples.SourceGenerated.Program1
27 Tests.CoverageTests9
28 Tests.EnvVarTests1
29 Tests.Main38
30 Tests.PrimitiveTests2
31 Tests.SeparatorAttributeTests1
32 Tests.SeparatorAttributeTests.ColonOrSpaced2
33 Tests.SeparatorAttributeTests.LegacyValidations3
34 Tests.SeparatorAttributeTests.SeparatorAttributeWithEquals2
35 Tests.UsageStrings4
36 Tests.UsageStrings.Issue1731
37 UnParsers31
38 Benchmarks22
39 Tests.PrimitiveTests.Traps for defaulting and or post-processing functions11
40 Tests.SeparatorAttributeTests.Assignment11
Uses a module listed above itPart of a loopThe module itself
1 Benchmarks.Program2 CliPrefix3 PreCompute.FastAttributes4 Samples.LS.Main5 SourceGenerator6 Tests7 Tests.AutoGenerated8 Tests.EnvVarTests.Prefixed9 TrimMessages10 Utils11 Utils.Seq12 UnionArgInfo13 Argu14 PreCompute15 ArguAttributes16 ArgumentParserUtils17 Benchmarks.Schema18 CliParser19 CommonParsers20 Extensions.Configuration21 KeyValueParser22 PreCompute.Helpers23 Samples.Introspect.Arguments24 Samples.Introspect.Main25 Samples.LS26 Samples.SourceGenerated.Program27 Tests.CoverageTests28 Tests.EnvVarTests29 Tests.Main30 Tests.PrimitiveTests31 Tests.SeparatorAttributeTests32 Tests.SeparatorAttributeTests.ColonOrSpaced33 Tests.SeparatorAttributeTests.LegacyValidations34 Tests.SeparatorAttributeTests.SeparatorAttributeWithEquals35 Tests.UsageStrings36 Tests.UsageStrings.Issue17337 UnParsers38 Benchmarks39 Tests.PrimitiveTests.Traps for defaulting and or post-processing functions40 Tests.SeparatorAttributeTests.AssignmentBenchmarks.Program1CliPrefix2PreCompute.FastAttributes3Samples.LS.Main4SourceGenerator5Tests6Tests.AutoGenerated7Tests.EnvVarTests.Prefixed8TrimMessages9Utils10Utils.Seq11UnionArgInfo12Argu13PreCompute14ArguAttributes15ArgumentParserUtils16Benchmarks.Schema17CliParser18CommonParsers19Extensions.Configuration20KeyValueParser21PreCompute.Helpers22Samples.Introspect.Arguments23Samples.Introspect.Main24Samples.LS25Samples.SourceGenerated.Program26Tests.CoverageTests27Tests.EnvVarTests28Tests.Main29Tests.PrimitiveTests30Tests.SeparatorAttributeTests31Tests.SeparatorAttributeTests.ColonOrSpaced32Tests.SeparatorAttributeTests.LegacyValidations33Tests.SeparatorAttributeTests.SeparatorAttributeWithEquals34Tests.UsageStrings35Tests.UsageStrings.Issue17336UnParsers37Benchmarks38Tests.PrimitiveTests.Traps for defaulting and or post-processing functions39Tests.SeparatorAttributeTests.Assignment402654121142652722141119138212324131221111+4 more modules (most-connected shown)

At a glance — Code Health · 79% · Strong ·

The Good
D3 · .NET / C# God Classes 9.1 D4 · .NET / C# Code Duplication 9.8 D39 · .NET / C# IL Efficiency 9.9 GD1 · Repo Unfinished & placeholder code 10.0 X20 · Repo Mistyped argument guard 10.0 X23 · Repo Unguarded diagnostic materialisation 10.0 X27 · Repo Collection changed while being enumerated 10.0 X28 · Repo Index access outside its own emptiness guard 10.0
The Bad
D1 · .NET / C# Cyclomatic Complexity 6.5
The Ugly
D2 · .NET / C# Cognitive Complexity 4.1

At a glance — Architecture · 98% · Exemplary ·

The Good
D5 · .NET / C# Coupling 10.0 D6 · .NET / C# Cohesion (LCOM4) 10.0 D26 · .NET / C# Project Cohesion 10.0 D27 · .NET / C# Navigability 8.1 D35 · .NET / C# Change Coupling 10.0 AX10 · Repo Code composition 9.9 AX3 · Repo Project dependency cycles 10.0 AX4 · Repo Dependency direction 10.0 AX8 · Repo Test isolation 10.0

At a glance — Maturity · 46% · Weak · gated by M2 ·

The Good
D15 · .NET / C# Churn × Complexity Hotspots 8.8 D19 · .NET / C# Documentation Quality 8.0 D21 · .NET / C# Naming Consistency 10.0 D34 · .NET / C# Knowledge Freshness 10.0 M3 · Repo Folder & project structure 10.0 M4 · Repo Documentation accuracy 10.0
The Bad
M1 · Repo Documentation (README) 5.3
The Ugly
D16 · .NET / C# Bus Factor 4.2 M2 · Repo Architecture documentation 0.0

At a glance — Readiness · 74% · Strong ·

The Good
D12 · .NET / C# Dependency Hygiene 9.7 D13 · .NET / C# Secret Scanning 10.0 D14 · .NET / C# License Compliance 10.0 P1 · Repo CI/CD gates 10.0 P4 · Repo Deployment & Rollback 7.0 P6 · Repo Release Hygiene 10.0
The Ugly
P3 · Repo Security & performance tooling 4.0

At a glance — Security · 96% · Exemplary ·

The Good
D28 · .NET / C# Secrets (history) 10.0 D29 · .NET / C# Static Analysis (SAST) 8.4 D30 · .NET / C# Dependency Vulnerabilities 10.0 D31 · .NET / C# IaC & Container Security 9.6 D44 · .NET / C# Platform End-of-Life 10.0

At a glance — Performance · 76% · Strong ·

The Good
PF1 · Repo Benchmark discipline 9.0
The Bad
PF2 · Repo Allocation hygiene 6.5

Security & Compliance — OWASP Top-10 mapping

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 categoryFindingsSeverity
A05:2025 — Injection8High / Critical
A02:2025 — Security Misconfiguration2High / Critical

Roadmap

Begin by documenting significant design decisions in a dedicated folder to establish architectural clarity and address the absence of formal records. Simultaneously, stabilize the team by resolving off-boarding risks and significantly expanding the README with getting-started instructions, an architecture overview, and a project map. Finally, reduce technical debt by refactoring the identified high-churn and high-complexity files, starting with PreCompute.fs, UnParsers.fs, and Cli.fs.

Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.

Do thisHelpsEffortDimension
Resolve the 1 Off-boarding risk finding(s) in Bus Factor.+9.0 ptsLowBus Factor
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.+13.7 ptsMediumArchitecture documentation
Resolve the 1 Documentation finding(s) in Documentation Quality — start with README.md.+4.6 ptsLowDocumentation Quality
Expand the README with getting-started, architecture overview and a project map.+5.2 ptsMediumDocumentation (README)
Resolve the 5 Hotspot finding(s) in Churn × Complexity Hotspots — start with PreCompute.fs, UnParsers.fs, Cli.fs.+1.8 ptsHighChurn × Complexity Hotspots
Raise allocation-aware density on the hot paths — currently 4 use(s) across 3,722 production line(s) (~1.1/1k). More of the idioms below on the allocation-heavy paths climbs this toward 10.+1.6 ptsMediumAllocation hygiene
Resolve the 2 Outdated finding(s) in Dependency Hygiene — start with Directory.Packages.props (2).+0.6 ptsLowDependency Hygiene
Bring the 2 bodies over 60 down to 60 or less in Cognitive Complexity — start with CliParser.handleMainCommandOrUnrecognized (cognitive 128), PreCompute.preComputeUnionCaseArgInfo (cognitive 70).+0.3 ptsMediumCognitive Complexity

File quality

Per-file score 0–10 — a quality signature. Of 12 files carrying findings, judged against the Production bar: 8% slop · 67% mixed · 25% near-clean.

FileScoreBandWorst signal
REDACTED3.0SlopStatic Analysis (SAST): High: REDACTED
REDACTED4.8MixedStatic Analysis (SAST): High: REDACTED
REDACTED5.1MixedIaC & Container Security: High IaC: REDACTED
src/Argu/PreCompute.fs6.6MixedCyclomatic Complexity: PreCompute.preComputeUnionCaseArgInfo (cyclomatic 70)
src/Argu/UnParsers.fs7.0MixedCyclomatic Complexity: UnParsers.mkCommandLineSyntax (cyclomatic 35)
src/Argu/Parsers/Cli.fs7.1MixedCyclomatic Complexity: CliParser.handleMainCommandOrUnrecognized (cyclomatic 47)
REDACTED7.2MixedStatic Analysis (SAST): High: REDACTED
src/Argu/Parsers/KeyValue.fs7.8MixedCyclomatic Complexity: KeyValueParser.parseKeyValuePartial (cyclomatic 19)
src/Argu/Utils.fs7.8MixedCognitive Complexity: Utils.escapeCliString (cognitive 27)
src/Argu/Parsers/Common.fs8.5Near-cleanCyclomatic Complexity: CommonParsers.postProcessResults (cyclomatic 19)
Directory.Packages.props9.3Near-cleanDependency Hygiene: Outdated: FSharp.Core
README.md9.5Near-cleanDocumentation Quality: Documentation: no installation or build instructions

How the grades work

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 — 9

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 — 34

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 — 14

Recorded, with no effect on how the codebase functions. Present so the survey is complete, not because it needs doing.

Could not be resolved — 35

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. 39 of 42 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 3 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.9 — 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 — 42 dimensions across the health lenses
D1D2D3D4D5D6D12D13D14D15D16D19D21D26D27D28D29D30D31D34D35D39D44AX10AX3AX4AX8GD1M1M2M3M4P1P3P4P6PF1PF2X20X23X27X28

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
  1. 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, 46 of 57 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.)
  2. 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.
  3. 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.

MethodBacksVersionEvaluator
Roslyn static analysisComplexity, cohesion, coupling, dead code, API surface, layering5.3.0✓ deterministic
Native secret scannerHardcoded secrets / credentials1.0.0✓ deterministic
Watchdog duplication detector (in-process)Code duplication1.0.0✓ deterministic
Coverage (coverlet / dotnet-coverage)Line & branch coverage10.0.400✓ deterministic
NuGet / dotnetOutdated, vulnerable & deprecated dependencies10.0.400✓ deterministic
git / LibGit2SharpChurn hotspots, knowledge concentration, history2.43.0 · 0.31.0✓ deterministic
gitleaks · semgrep · trivy · checkovSecrets in history, SAST, CVEs, IaC & container, PII / GDPR1.86.0 · 0.69.3 · 3.2.533✓ deterministic
LLM (sampled · advisory)Documentation quality, ADR conformance, naming — sampled over a bounded sample; advisory, never a deterministic measurementLocal LLM◐ LLM · sampled · advisory

Every finding is locatable in findings.md. Run 01a16a5b-1273-779b-98f3-5dfa620523e7.

The exact command behind every deep-scan dimension — tool, version, invocation and retained raw output — is in Appendix B — Reproduction & audit trail.

Run transparency — what happened this run

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.

  • 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 reliability NOT MEASURED: the test run produced no results for any test tier, so no test ever ran and flakiness could not be exercised. The cause could not be attributed, so it is excluded from the score rather than read as an absence of tests.
  • D15 Churn × Complexity Hotspots — 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. A hotspot's complexity is meant to be the worst body its churn actually touched. For src/Argu/UnParsers.fs, src/Argu/Parsers/Cli.fs, src/Argu/PreCompute.fs, src/Argu/Parsers/Common.fs, src/Argu/Parsers/KeyValue.fs that could not be established — the complexity reader for the file reports no body extents, or the history carries no per-line attribution — so the row quotes the file's worst body, which the counted changes may never have touched. The churn count is unaffected.
  • D22 Internal API Consistency — 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. This repository's source is written only in languages whose packages are published through a manifest, and no manifest in the tree makes a publication act: either there is no package manifest of any ecosystem (no package.json, pyproject.toml, setup.py, gemspec, Cargo.toml, pom.xml, build.gradle, composer.json, pubspec.yaml or mix.exs), or every one present declares in its package manager's own terms that it is not published (an npm package marked "private": true, a Cargo package with publish = false, a pubspec with publish_to: none, a Composer "project", a Poetry project with package-mode = false, or the "Private :: Do Not Upload" classifier). With no publication act there is no intentionally-exposed surface for API consistency to be judged over.
  • AX6 Interface segregation — 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 is computed over the public interfaces this run's compilations declare, and none was loaded, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • 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 REDACTED (REDACTED). the image ran but published no HTTP port — nothing to crawl (EXPOSE the web port to unlock 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.
  • C3 Audit Trail — 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 audit 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 audit controls.
  • C4 Data Retention — 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 retention 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 retention controls.
  • C5 Data-Subject Rights — 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 data-subject rights 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 data-subject rights controls.
  • IC1 Incompleteness & stubs — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • 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.
  • P8 Schema migrations — 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 reads EF Core usage in C# and the schema tooling its file scan recognises only, and no .NET project was loaded, and this repository's language is not one the scan models, so it had nothing of this repository's product to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • 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.
  • X1 Async correctness — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X12 Unreachable branch — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X13 Undrained process stream — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X14 Bypassable address classification — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X15 Unvalidated length from an untrusted reader — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X16 Unfloored truncation loop — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X17 Uncapped recursion over a caller-supplied document — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X18 Disposal-pattern correctness — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X19 Unrestored process-global state — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X2 Cancellation propagation — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X21 Side-effecting pattern guard — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X22 Contradicted release guard — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X24 Document value interpolated into markup unescaped — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X25 Inert configuration knob — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X26 Unsynchronised callback handoff — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X29 Per-element action decided by a fixed element — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X3 Exception handling — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X30 Support guard that admits what it rejects — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X32 Type resolved by simple name across every loaded assembly — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X4 Structured logging — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X5 Nullable reference types — 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 is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X6 Hand-rolled structured-format parsing — 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 reads C# syntax, and Python, JavaScript/TypeScript, Go, Java/Kotlin/Scala, Ruby, PHP, Rust, Swift, Erlang, Elixir and Dart source only, and no C# was loaded and none of those languages was found in this repository, so it had nothing of this repository's product to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X7 Silent fallback defaults — 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 reads C#, Python, TypeScript/JavaScript, Rust, Go, Java, Kotlin, Scala, PHP, Ruby, Swift and Dart syntax only, and no C#, Python, TypeScript/JavaScript, Rust, Go, Java, Kotlin, Scala, PHP, Ruby, Swift or Dart was loaded for this repository, so it had nothing of this repository's product to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.

Repo exclusion declarations (.gitattributes linguist-generated/vendored, .editorconfig generated_code): none declared — every source file was scored.

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.
  • 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.
  • D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs — it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement. Its critique rows are drawn from a closed category vocabulary and each row means the same thing in every run, so two scans can be compared row by row; the SET that fires is still a sample, and does not repeat exactly. Measured on one frozen input, six scans at one engine SHA: 2-5 critique rows per scan, 8 distinct rows across the six, 3 of those 8 seen in only one scan. So a D19 row is evidence about the documentation, but a COUNT of D19 rows is not a quantity — never read a change in it as an improvement or a regression.
  • D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
  • 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.
  • D27 Navigability: Indirection/navigability is structural — it measures hops to follow a call, not whether that indirection buys real flexibility or just ceremony.
  • 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.
  • D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
  • 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.
  • 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.
  • M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
  • 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.

The LLM boundary

LLM-set scores this run (3): D19, D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score; each names its own sample and method on its card. They are sampled and advisory by design: they vary at the margins between runs and are never a deterministic measurement. Every other score in this report is tool-computed at confidence 1.0.

Dimensions

D1 · Cyclomatic Complexity6.5 / 10Adequate✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 6.5 / 10 · rule-coverage 100% · ceiling Prevented

10 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was PreCompute.preComputeUnionCaseArgInfo at 70.

PreCompute.preComputeUnionCaseArgInfo (cyclomatic 70)src/Argu/PreCompute.fs:275
CliParser.handleMainCommandOrUnrecognized (cyclomatic 47)src/Argu/Parsers/Cli.fs:204
UnParsers.mkCommandLineSyntax (cyclomatic 35)src/Argu/UnParsers.fs:19
CliParser.handleCliParam (cyclomatic 30)src/Argu/Parsers/Cli.fs:327
UnParsers.mkArgUsage (cyclomatic 23)src/Argu/UnParsers.fs:134

+ 5 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

  1. Bring the 3 bodies over 30 down to 30 or less in Cyclomatic Complexity — start with PreCompute.preComputeUnionCaseArgInfo (cyclomatic 70), CliParser.handleMainCommandOrUnrecognized (cyclomatic 47), UnParsers.mkCommandLineSyntax (cyclomatic 35). — This score is capped by its worst body, so a finding fixed alone moves it by almost nothing — the next one down takes its place. Refactoring these 3 together lifts Cyclomatic Complexity from 6.5 to about 8.0/10, projected with the scoring formula itself and assuming each lands exactly at 30; a cleaner split scores higher.
  2. 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.

D2 · Cognitive Complexity4.1 / 10Weak✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 4.1 / 10 · rule-coverage 100% · ceiling Prevented

13 method(s) exceeded the cognitive complexity threshold of 15; the worst was CliParser.handleMainCommandOrUnrecognized at 128.

CliParser.handleMainCommandOrUnrecognized (cognitive 128)src/Argu/Parsers/Cli.fs:204
PreCompute.preComputeUnionCaseArgInfo (cognitive 70)src/Argu/PreCompute.fs:275
UnParsers.mkCommandLineSyntax (cognitive 50)src/Argu/UnParsers.fs:19
KeyValueParser.parseKeyValuePartial (cognitive 49)src/Argu/Parsers/KeyValue.fs:31
CliParser.handleCliParam (cognitive 44)src/Argu/Parsers/Cli.fs:327

+ 8 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

  1. Bring the 2 bodies over 60 down to 60 or less in Cognitive Complexity — start with CliParser.handleMainCommandOrUnrecognized (cognitive 128), PreCompute.preComputeUnionCaseArgInfo (cognitive 70). — This score is capped by its worst body, so a finding fixed alone moves it by almost nothing — the next one down takes its place. Refactoring these 2 together lifts Cognitive Complexity from 4.1 to about 5.8/10, projected with the scoring formula itself and assuming each lands exactly at 60; a cleaner split scores higher.
  2. 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.

D3 · God Classes9.1 / 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.

Maturity: Documented → Verified → Prevented · effective 9.1 / 10 · rule-coverage 100% · ceiling Prevented

1 over-large unit(s) detected — types, modules or files that carry too much.

FileTooLong: Argu/PreCompute.fssrc/Argu/PreCompute.fs

What to do

  1. Resolve the 1 FileTooLong finding(s) in God Classes — start with PreCompute.fs. — One of this dimension's main actionable groups (1 warning-level).
  2. 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.

D4 · Code Duplication9.8 / 10Stronggated by 2 serious findings✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 9.8 / 10 · rule-coverage 100% · ceiling Verified

2 duplicated block group(s) detected.

Duplicated block (16–17 lines × 2)src/Argu/UnParsers.fs:67
Duplicated block (6 lines × 2)src/Argu/PreCompute.fs:121

What to do

  1. Resolve the 1 Duplicated block (16–17 lines × 2) finding(s) in Code Duplication — start with UnParsers.fs. — One of this dimension's main actionable groups (1 warning-level).
  2. Resolve the 1 Duplicated block (6 lines × 2) finding(s) in Code Duplication — start with PreCompute.fs. — One of this dimension's main actionable groups (1 warning-level).
  3. 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.

D5 · Coupling10.0 / 10Exemplary✓ 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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

8 projects, 0 dependency cycle(s), 0 unstable depended-on project(s).

✓ On the Gold path — maintain.

Detailed fixes: d5_recommendation.md.

D6 · Cohesion (LCOM4)10.0 / 10Exemplary✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

0 of 11 classes have LCOM4 above 3.

✓ On the Gold path — maintain.

Detailed fixes: d6_recommendation.md.

D12 · Dependency Hygiene9.7 / 10Exemplary✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 9.7 / 10 · rule-coverage 100% · ceiling Verified

6 outdated, 0 vulnerable, 0 deprecated packages.

Outdated: FSharp.Core · ×2Directory.Packages.props:10
Outdated: BenchmarkDotNet · ×4

✓ On the Gold path — maintain.

Detailed fixes: d12_recommendation.md · top locations in Appendix A, every location in findings.md.

D13 · Secret Scanning10.0 / 10Exemplary○ Nothing flagged

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

D14 · License Compliance10.0 / 10Exemplary○ Nothing flagged

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

0 of 130 packages use a banned license. ★ DEPTH: this repository's MSBuild projects declare 7 direct `PackageReference`(s), and 123 further package(s) were reached beyond them by closing the graph over nuget.org's own nuspec dependency graph — so a banned licence pulled in only by a dependency's OWN dependencies is inside this verdict. A package whose licence nuget.org could not be asked for is not graded, and version ranges are taken at their lower bound, so this is the closure as that graph states it rather than a restored consumer's exact resolution.

✓ On the Gold path — maintain.

Detailed fixes: d14_recommendation.md.

D15 · Churn × Complexity Hotspots8.8 / 10Strong✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 8.8 / 10 · rule-coverage 100% · ceiling Documented

Top hotspots: src/Argu/PreCompute.fs (7×70=490); src/Argu/UnParsers.fs (6×35=210); src/Argu/Parsers/Cli.fs (4×47=188)

Hotspot: src/Argu/PreCompute.fs · ×5src/Argu/PreCompute.fs:275

What to do

  1. Resolve the 5 Hotspot finding(s) in Churn × Complexity Hotspots — start with PreCompute.fs, UnParsers.fs, Cli.fs. — One of this dimension's main actionable groups (5 warning-level).

Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.

D16 · Bus Factor4.2 / 10Weak✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 4.2 / 10 · rule-coverage 100% · ceiling Documented

7 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is src/Argu/Parsers/Cli.fs. Counted over 12 of the 15 production source files in this repository: the rest are under the ~2,400-byte size floor this dimension measures over.

Off-boarding risk: anonymized user #1

What to do

  1. Resolve the 1 Off-boarding risk finding(s) in Bus Factor. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d16_recommendation.md · top locations in Appendix A, every location in findings.md.

D19 · Documentation QualityStrong◐ Sampled · advisory

What it measures: Whether the project's documentation is clear, complete, and useful.

Method: Judged by language model at low temperature (0.0-0.1) on a deterministic doc sample (READMEs plus first 25 architecture docs), with two-pass stability filtering. Advisory, sampled.

Maturity: Documented → Verified → Prevented · effective Strong / 10 · rule-coverage 100% · ceiling Documented

The repository's root README (Argu) is a clear project overview with build/test badges, a NuGet link, an online tutorial, API reference, and contributors; the src/Argu.SourceGenerator README documents that directory rather than the repository as a whole. Both are strong.

Documentation: no installation or build instructionsREADME.md

What to do

  1. Resolve the 1 Documentation finding(s) in Documentation Quality — start with README.md. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d19_recommendation.md · top locations in Appendix A, every location in findings.md.

D21 · Naming ConsistencyExemplary◐ Sampled · advisory

What it measures: Whether names — types, methods, variables — are clear and consistent.

Method: Judged by language model at low temperature (0.0-0.1) on a deterministic random symbol sample (fixed size, not exhaustive), with disclosed confidence band. Advisory, sampled.

Maturity: Documented → Verified → Prevented · effective Exemplary / 10 · rule-coverage 100% · ceiling Verified

0 naming inconsistencies across 0 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

D26 · Project Cohesion10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether each project is a focused, coherent unit rather than an oversized grab-bag.

Method: Project size overshoot penalties (LoC / public-type count / namespace count, 2-of-3 flag) weighted by log magnitude. Exhaustive across projects, deterministic, LLM-independent.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

0 of 3 build units (MSBuild) flagged as possibly oversized/incoherent.

✓ On the Gold path — maintain.

Detailed fixes: d26_recommendation.md.

D27 · Navigability8.1 / 10Strong✓ Tool-verified

What it measures: How far you must trace to follow a call — low indirection and co-located slices read easier.

Method: Call indirection (interface hops, cross-namespace calls, slice-locality scaled) over a sampled set of method invocations, size-aware baseline. Sampled; confidence discounted by symbol-resolution gaps. C# also names each pass-through layer (a class whose every public method only forwards its own parameters to one collaborator) as a located finding; the score is not affected.

Coverage: Slice locality from the first namespace segments, SAMPLED (≤400 methods) — not exhaustive.

Maturity: Documented → Verified → Prevented · effective 8.1 / 10 · rule-coverage 100% · ceiling Documented

90 % of calls cross a namespace and 2 % go through an interface, but 59 % of collaborators are co-located — so following a call takes several hops. Baseline: small — navigation cost is tolerated.

Scattered collaborators

What to do

  1. Resolve the 1 Scattered collaborators finding(s) in Navigability. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d27_recommendation.md · top locations in Appendix A, every location in findings.md.

D28 · Secrets (history)10.0 / 10Exemplary○ Nothing flagged

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

gitleaks scanned the full history AND the current working tree and found no secrets.

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

D29 · Static Analysis (SAST)8.4 / 10Adequategated by 8 critical findings✓ Tool-verified

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).

Maturity: Documented → Verified → Prevented · effective 8.4 / 10 · rule-coverage 100% · ceiling Documented

8 finding(s): 0 critical, 8 high, 0 medium, 0 low. 7 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.

REDACTED
REDACTED

What to do

  1. Resolve the 1 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED. — One of this dimension's main actionable groups (1 issue-level).
  2. No action in Static Analysis (SAST) — all 7 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 (7 issue-level, 0 of them charged here).

Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.

D30 · Dependency Vulnerabilities10.0 / 10Exemplary○ Nothing flagged

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No known-vulnerable dependencies in any ecosystem this repository declares.

✓ On the Gold path — maintain.

Detailed fixes: d30_recommendation.md.

D31 · IaC & Container Security9.6 / 10Adequategated by 1 critical finding✓ Tool-verified

What it measures: Whether Dockerfiles / Terraform / Kubernetes config follow security best practices.

Method: IaC/container misconfiguration scan via trivy config (REDACTED/Terraform/K8s/Helm/CloudFormation); severity rules to 0-10 moderate normalizer. NotApplicable without manifests. Exhaustive, deterministic.

Maturity: Documented → Verified → Prevented · effective 9.6 / 10 · rule-coverage 100% · ceiling Documented

2 finding(s): 0 critical, 1 high, 1 medium, 0 low.

REDACTED
REDACTED

What to do

  1. 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).
  2. Resolve the 1 Medium IaC finding(s) in IaC & Container Security — start with REDACTED. — One of this dimension's main actionable groups (1 warning-level).

Detailed fixes: d31_recommendation.md · top locations in Appendix A, every location in findings.md.

D34 · Knowledge Freshness10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.

Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

Every significant source file has living knowledge — recently and meaningfully worked. Counted over 12 of the 15 production source files in this repository: the rest are under the ~2,400-byte size floor this dimension measures over.

✓ On the Gold path — maintain.

Detailed fixes: d34_recommendation.md.

D35 · Change Coupling10.0 / 10Exemplary✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

D39 · IL Efficiency9.9 / 10Exemplary✓ Tool-verified

Method: IL instruction count per method, read from the BUILT first-party assemblies via Mono.Cecil (the target is compiled on a deep run); scored on the fraction of methods whose emitted IL body exceeds the size threshold. Sees compiler-generated bloat source can't; not-applicable when the target fails to build. Deterministic.

Maturity: Documented → Verified → Prevented · effective 9.9 / 10 · rule-coverage 100% · ceiling Verified

7 of 964 first-party methods have an oversized IL body.

IL efficiency: 7 authored method(s) exceed the IL budgetsrc/Argu/PreCompute.fs:279

✓ On the Gold path — maintain.

Detailed fixes: d39_recommendation.md · top locations in Appendix A, every location in findings.md.

D44 · Platform End-of-Life10.0 / 10Exemplary✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

0 end-of-life runtime(s) and 0 end-of-life framework(s), read from 8 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.

✓ On the Gold path — maintain.

Detailed fixes: d44_recommendation.md.

Frontend & cross-cutting dimensions

R = React/JS · M = Maturity · P = Readiness.

AX10 · Code composition9.9 / 10Exemplary✓ Tool-verified

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.
AX3 · Project dependency cycles10.0 / 10Exemplary✓ Tool-verified

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.

AX4 · Dependency direction10.0 / 10Exemplary✓ Tool-verified

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.

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.

GD1 · Unfinished & placeholder code10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Unreviewed-generation residue in this repository's F#: bindings whose whole body still raises a "not implemented" error (NotImplementedException, failwith "not implemented"), and placeholder text (lorem ipsum, changeme/replace_me…) left in string literals 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.

M1 · Documentation (README)5.3 / 10Adequate✓ Tool-verified

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.

  • The root README is 62 words, against a bar of 120. Of the three newcomer-critical sections this check looks for by heading, it found no an architecture or project-map section. Sections are matched on HEADING text only, so material written under a heading this check does not recognise — or with no heading at all — is not seen and this row may understate what the document covers.

What to do

  • Expand the README with getting-started, architecture overview and a project map.
  • Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
M2 · Architecture documentation0.0 / 10Critical✓ Tool-verified

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.
  • No C4/Structurizr/PlantUML/Mermaid/Graphviz/D2 diagram, no drawn diagram named for the architecture, no file named `architecture` or `design` in any markup this check reads, and nothing in the README, docs or contributor guides that announces the shape — no `## Architecture` heading, no "architecture overview"/"high-level design" phrasing, no "the architecture is …" introduction, no guided code tour. A shape laid out in prose that never names itself as the architecture is not visible to this check, and neither is one kept outside the repository, so this row reports the absence of a re-findable shape document — not evidence that nobody wrote the shape down.

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.
  • Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.
M3 · Folder & project structure10.0 / 10Exemplary✓ Tool-verified

Maturity · Maturity — Whether the repo is organised deliberately — src/test separation and consistent project naming.

Method: Filesystem scan: src/test folder separation and namespace-prefix consistency (majority RootNamespace agreement). Exhaustive across projects, deterministic.

M4 · Documentation accuracy10.0 / 10Exemplary◐ Sampled · advisory

Maturity · Maturity — Whether the README actually describes the code that exists (LLM-judged, advisory).

Method: Judged by language model at low temperature: README accuracy versus actual projects, within a disclosed tolerance. Advisory, not a measured number.

P1 · CI/CD gates10.0 / 10Exemplary○ Nothing flagged

Readiness · Readiness — Whether an automated pipeline builds and tests every change.

Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.

P3 · Security & performance tooling4.0 / 10Weak✓ Tool-verified

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.

  • No static application security testing detected. For this repository's stack, add `semgrep --config=auto` plus gitleaks for committed secrets (F# is not a CodeQL language and has no language-specific SAST engine) as a CI step. What was searched, so you can tell an absence from a miss: the 1775 CI workflow file(s) in this repository, and the scanner and linter configuration checked in beside them. A scan that runs outside CI, one configured in your forge's web UI rather than in a committed file, or a tool whose name is none of those this check carries, is not seen — if that is your case the row is wrong, and saying so is more useful than adding a second scanner.

What to do

  • Add a SAST step to CI running what this repository's stack ships: `semgrep --config=auto` plus gitleaks for committed secrets (F# is not a CodeQL language and has no language-specific SAST engine) — so a security regression fails the build instead of landing.
  • Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
P4 · Deployment & Rollback7.0 / 10Strong✓ Tool-verified

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.

P6 · Release Hygiene10.0 / 10Exemplary✓ Tool-verified

Readiness · Readiness — Whether releases are traceable — a maintained changelog and explicit version stamping.

Method: Filesystem scan: changelog file presence and version tags in csproj or git tags. Exhaustive, deterministic.

PF1 · Benchmark discipline9.0 / 10Exemplary✓ Tool-verified

Readiness · Performance — Whether the code protects its performance with benchmarks — a benchmark suite, allocation/memory measurement, and (ideally) a CI gate. Presence is credited as a bonus, never a deduction.

Method: Repo + source scan: BenchmarkDotNet referenced (csproj/source), [Benchmark]/[MemoryDiagnoser] attribute counts, and a benchmark step in CI; off .NET, the same ladder over Go testing.B, Rust criterion/#[bench]/divan, JMH/kotlinx-benchmark, pytest-benchmark/asv/pyperf, tinybench/mitata/vitest bench/benchmark.js and Swift package-benchmark — scored as a bonus ladder (absence is neutral, never a deduction). Deterministic, presence detection.

PF2 · Allocation hygiene6.5 / 10Adequate✓ Tool-verified

Readiness · Performance — Whether the code is written to minimise allocations so it doesn't pressure its host's memory manager — buffer/slice views over copies, object pooling, stack or value-type allocation, and buffer writers. Reward-only: credited where present, never penalised where a simpler style is fine.

Method: Production-source scan: density (per 1k LoC) of allocation-aware APIs — in .NET Span/Memory, ArrayPool/ObjectPool, stackalloc, ValueTask, value-type structs, IBufferWriter, string.Create, SkipLocalsInit; off .NET, with comments and strings blanked, Go's sync.Pool, preallocated slices/maps, Grow, strconv.Append* and buf[:0] reuse; the JVM's NIO buffer views, MemorySegment, primitive collections, pools and literal presizes (plus Kotlin primitive arrays and value classes, Scala AnyVal and @specialized); Swift's reserveCapacity, ContiguousArray, withUnsafe* access and ~Copyable. Activated off .NET on the same floor (400 lines, and benchmarks or 8 uses); Rust and garbage-collected scripting languages are not applicable. Reward-only. Deterministic, syntax/text detection.

What to do

  • Raise allocation-aware density on the hot paths — currently 4 use(s) across 3,722 production line(s) (~1.1/1k). More of the idioms below on the allocation-heavy paths climbs this toward 10.
  • F#: on hot paths, work through Span/Memory (AsSpan/AsMemory) instead of copies, rent buffers from ArrayPool, make small records, unions and tuples [<Struct>]/struct (…) and options voption, mark lambda parameters of inline functions [<InlineIfLambda>], use valueTask for completions that are usually synchronous, and presize ResizeArray/StringBuilder.
X20 · Mistyped argument guard10.0 / 10Exemplary○ Nothing flagged

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.

X23 · Unguarded diagnostic materialisation10.0 / 10Exemplary○ Nothing flagged

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.

X27 · Collection changed while being enumerated10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a `for … in` loop leaves the mutable .NET collection it is walking alone — F#'s own lists, arrays, maps and sets cannot be changed by a loop body, but a `ResizeArray`, `Dictionary`, `Queue` or other BCL collection walked by `for x in c do` is walked through its enumerator, so a body that adds to or removes from `c` makes the next `MoveNext` throw `InvalidOperationException` and the remaining items 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.

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.

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.

LensScoreRatingImpact
Code Health79%StrongSolid.
Architecture98%ExemplaryStrongest area.
Maturity46%Weak — gated by M2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness74%StrongSolid.
Security96%ExemplarySolid.
Performance76%StrongSolid.
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.

  • D36 Supply-chain Provenance & Signing — 1 observation(s) recorded · The CI pipeline builds and tests but publishes no released artifact — no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a published package, a container image, a deployed service or a tagged release). Build integrity and workflow-token hygiene are reported below: they describe what the CI runs and the token it runs with, neither of which is affected by whether the pipeline ships an artifact.
Not evidenced — 4 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.

  • C3 Audit Trail — Not assessed: these audit 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 audit 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.
  • C4 Data Retention — Not assessed: these retention 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 retention 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.
  • C5 Data-Subject Rights — Not assessed: these data-subject rights 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 data-subject rights 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.
  • P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
Not included — 73 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 F# 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 F# function in this code takes an ASP.NET Core or Suave HttpContext (a Giraffe, Saturn, Falco, Oxpecker or Suave handler) and no F# class is an ASP.NET Core controller, so no request handler shares module state between request threads.
  • 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
  • AX6 Interface segregation — not assessed — interface segregation is computed over a type surface 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 image ran but published no HTTP port — nothing to crawl (EXPOSE the web port to unlock 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.
  • D10 Test Quality — ~1384 lines of test source are present (.fs) 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 measured — no test run produced results
  • D17 Explicit Debt — the C# workspace loaded 0 projects, so explicit-debt density could not be measured
  • D18 Solution Shape — D18 scores the shape of a C#/VB .NET solution; this repository's .NET projects are all F# (.fsproj), which the C#/VB workspace does not load, 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.
  • D22 Internal API Consistency — No intentionally-exposed public API to evaluate for consistency.
  • 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 — No inline comments to assess — comment value is not applicable here.
  • D25 ADR Conformance — no ADRs to check
  • D32 Data Compliance (PII/GDPR) — 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.
  • 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.
  • 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.
  • D43 Malicious Dependencies — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, an Elixir mix.exs/mix.lock (Hex), a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems) — not scanned yet).
  • D7 Architectural Integrity — no checkable ADRs and no dependency cycles — architectural integrity not assessed
  • D8 Code Coverage — Coverage NOT MEASURED: this repository runs its tests on Microsoft.Testing.Platform (its global.json opts in), where coverage comes from a coverage extension the test project references — and none is wired up: no build file names `Microsoft.Testing.Extensions.CodeCoverage` or `coverlet.MTP`. The absence of coverage here is therefore not evidence about the suite or about our analyzer environment. Add one of those PackageReferences to the test project(s) (or commit the Cobertura/OpenCover/lcov report your CI produces) and real coverage will be measured. It is excluded from the score rather than counted as a near-zero defect.
  • D9 Test Distribution — Test source is present (.fs) 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 its unit/integration/BDD/E2E split couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
  • DM1 Domain Modelling — applicable but not scored (2 of 3 signals for this style — below the bar we score at): 31 value object(s); 2 domain event(s); its domain events are published by services or handlers — no domain entity raises one
  • 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
  • IC1 Incompleteness & stubs — not analysed — these correctness checks read a source model 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
  • 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'.
  • P2 Observability — This repository's F# source (3 module(s), 15 file(s) read) declares no entry point and bootstraps no server, and nothing here deploys a service — it is a library, run inside whatever hosts it, so production observability (structured logging, tracing/metrics, health checks) is N/A. If it grows a binary or a service, the dimension reactivates.
  • P7 Outbound HTTP resilience — not measured — the application kind could not be determined for this repo
  • P8 Schema migrations — not analysed — these correctness checks read a source model 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
  • P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (Cobertura — `dotnet test --collect:"XPlat Code Coverage"` with a `coverlet.collector` PackageReference) 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
  • PF3 Async & latency hygiene — Not applicable: this repository declares no async functions, so there is no asynchronous code for a blocking call to stall.
  • 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.
  • X1 Async correctness — not analysed — these correctness checks read a source model 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
  • X10 Duplicated predicate — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
  • X12 Unreachable branch — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X13 Undrained process stream — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X14 Bypassable address classification — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X15 Unvalidated length from an untrusted reader — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X16 Unfloored truncation loop — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X17 Uncapped recursion over a caller-supplied document — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X18 Disposal-pattern correctness — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X19 Unrestored process-global state — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X2 Cancellation propagation — not analysed — these correctness checks read a source model 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
  • X21 Side-effecting pattern guard — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X22 Contradicted release guard — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X24 Document value interpolated into markup unescaped — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X25 Inert configuration knob — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X26 Unsynchronised callback handoff — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X29 Per-element action decided by a fixed element — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X3 Exception handling — not analysed — these correctness checks read a source model 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
  • X30 Support guard that admits what it rejects — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X32 Type resolved by simple name across every loaded assembly — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X4 Structured logging — not analysed — these correctness checks read a source model 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
  • X5 Nullable reference types — not analysed — these correctness checks read a source model 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
  • X6 Hand-rolled structured-format parsing — not analysed — these correctness checks read a source model 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
  • X7 Silent fallback defaults — not analysed — these correctness checks read a source model 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
  • 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.

Critical — 9 finding(s)
D29 · Static Analysis (SAST) · REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
D29 · Static Analysis (SAST) · REDACTED · ×1
  • REDACTED
D31 · IaC & Container Security · High IaC · ×1
  • REDACTED
Serious — 34 finding(s)
D15 · Churn × Complexity Hotspots · Hotspot · ×5
  • Hotspot: src/Argu/PreCompute.fs src/Argu/PreCompute.fs:275 — src/Argu/PreCompute.fs changed 7 times in last 90 days, max cyclomatic complexity 70 in PreCompute.preComputeUnionCaseArgInfo at line 275. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, with the area under test before it moves. Counted over 2026-03-12..2026-06-10, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-03-12 08:49:22 +01:00' --until='2026-06-10 08:49:22 +01:00' --full-history --no-merges -- src/Argu/PreCompute.fs`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
  • Hotspot: src/Argu/UnParsers.fs src/Argu/UnParsers.fs:19 — src/Argu/UnParsers.fs changed 6 times in last 90 days, max cyclomatic complexity 35 in UnParsers.mkCommandLineSyntax at line 19. 3 of those changes were fix/bug commits, and the other 3 changed it for other reasons — this file is under both repair and feature pressure. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2026-03-12..2026-06-10, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-03-12 08:49:22 +01:00' --until='2026-06-10 08:49:22 +01:00' --full-history --no-merges -- src/Argu/UnParsers.fs`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
  • Hotspot: src/Argu/Parsers/Cli.fs src/Argu/Parsers/Cli.fs:204 — src/Argu/Parsers/Cli.fs changed 4 times in last 90 days, max cyclomatic complexity 47 in CliParser.handleMainCommandOrUnrecognized at line 204. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, with the area under test before it moves. Counted over 2026-03-12..2026-06-10, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-03-12 08:49:22 +01:00' --until='2026-06-10 08:49:22 +01:00' --full-history --no-merges -- src/Argu/Parsers/Cli.fs`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
  • Hotspot: src/Argu/Parsers/Common.fs src/Argu/Parsers/Common.fs:55 — src/Argu/Parsers/Common.fs changed 3 times in last 90 days, max cyclomatic complexity 19 in CommonParsers.postProcessResults at line 55. 1 of those changes was a fix/bug commit, and the other 2 changed it for other reasons — this file is under both repair and feature pressure. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2026-03-12..2026-06-10, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-03-12 08:49:22 +01:00' --until='2026-06-10 08:49:22 +01:00' --full-history --no-merges -- src/Argu/Parsers/Common.fs`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
  • Hotspot: src/Argu/Parsers/KeyValue.fs src/Argu/Parsers/KeyValue.fs:31 — src/Argu/Parsers/KeyValue.fs changed 2 times in last 90 days, max cyclomatic complexity 19 in KeyValueParser.parseKeyValuePartial at line 31. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, with the area under test before it moves. Counted over 2026-03-12..2026-06-10, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-03-12 08:49:22 +01:00' --until='2026-06-10 08:49:22 +01:00' --full-history --no-merges -- src/Argu/Parsers/KeyValue.fs`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
D1 · Cyclomatic Complexity · PreCompute.preComputeUnionCaseArgInfo (cyclomatic 70) · ×1
  • PreCompute.preComputeUnionCaseArgInfo (cyclomatic 70) src/Argu/PreCompute.fs:275 — PreCompute.preComputeUnionCaseArgInfo has cyclomatic complexity 70 (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.
D1 · Cyclomatic Complexity · CliParser.handleMainCommandOrUnrecognized (cyclomatic 47) · ×1
  • CliParser.handleMainCommandOrUnrecognized (cyclomatic 47) src/Argu/Parsers/Cli.fs:204 — CliParser.handleMainCommandOrUnrecognized has cyclomatic complexity 47 (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.
D1 · Cyclomatic Complexity · UnParsers.mkCommandLineSyntax (cyclomatic 35) · ×1
  • UnParsers.mkCommandLineSyntax (cyclomatic 35) src/Argu/UnParsers.fs:19 — UnParsers.mkCommandLineSyntax has cyclomatic complexity 35 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.
D1 · Cyclomatic Complexity · CliParser.handleCliParam (cyclomatic 30) · ×1
  • CliParser.handleCliParam (cyclomatic 30) src/Argu/Parsers/Cli.fs:327 — CliParser.handleCliParam has cyclomatic complexity 30 (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.
D1 · Cyclomatic Complexity · UnParsers.mkArgUsage (cyclomatic 23) · ×1
  • UnParsers.mkArgUsage (cyclomatic 23) src/Argu/UnParsers.fs:134 — UnParsers.mkArgUsage has cyclomatic complexity 23 (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.
D1 · Cyclomatic Complexity · UnParsers.mkCommandLineArgs (cyclomatic 20) · ×1
  • UnParsers.mkCommandLineArgs (cyclomatic 20) src/Argu/UnParsers.fs:295 — UnParsers.mkCommandLineArgs has cyclomatic complexity 20 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.
D1 · Cyclomatic Complexity · PreCompute.preComputeUnionArgInfoInner (cyclomatic 20) · ×1
  • PreCompute.preComputeUnionArgInfoInner (cyclomatic 20) src/Argu/PreCompute.fs:545 — PreCompute.preComputeUnionArgInfoInner has cyclomatic complexity 20 (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.
D1 · Cyclomatic Complexity · KeyValueParser.parseKeyValuePartial (cyclomatic 19) · ×1
  • KeyValueParser.parseKeyValuePartial (cyclomatic 19) src/Argu/Parsers/KeyValue.fs:31 — KeyValueParser.parseKeyValuePartial 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.
D1 · Cyclomatic Complexity · CommonParsers.postProcessResults (cyclomatic 19) · ×1
  • CommonParsers.postProcessResults (cyclomatic 19) src/Argu/Parsers/Common.fs:55 — CommonParsers.postProcessResults 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.
D1 · Cyclomatic Complexity · UnParsers.mkUsageStringWithLabels (cyclomatic 17) · ×1
  • UnParsers.mkUsageStringWithLabels (cyclomatic 17) src/Argu/UnParsers.fs:230 — UnParsers.mkUsageStringWithLabels has cyclomatic complexity 17 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.
D2 · Cognitive Complexity · CliParser.handleMainCommandOrUnrecognized (cognitive 128) · ×1
  • CliParser.handleMainCommandOrUnrecognized (cognitive 128) src/Argu/Parsers/Cli.fs:204 — CliParser.handleMainCommandOrUnrecognized has cognitive complexity 128 (threshold 15). Drivers by points: if/else 21 (64 pts), match/switch 8 (24 pts), error handling 4 (19 pts), loops 3 (14 pts), boolean chains 7 (nesting depth added 85). 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.
D2 · Cognitive Complexity · PreCompute.preComputeUnionCaseArgInfo (cognitive 70) · ×1
  • PreCompute.preComputeUnionCaseArgInfo (cognitive 70) src/Argu/PreCompute.fs:275 — PreCompute.preComputeUnionCaseArgInfo has cognitive complexity 70 (threshold 15). Drivers by points: if/else 26 (37 pts), match/switch 14 (21 pts), boolean chains 7, loops 2 (4 pts), error handling 1 (nesting depth added 20). 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.
D2 · Cognitive Complexity · UnParsers.mkCommandLineSyntax (cognitive 50) · ×1
  • UnParsers.mkCommandLineSyntax (cognitive 50) src/Argu/UnParsers.fs:19 — UnParsers.mkCommandLineSyntax has cognitive complexity 50 (threshold 15). Drivers by points: if/else 10 (21 pts), match/switch 7 (17 pts), loops 4 (10 pts), boolean chains 2 (nesting depth added 27). 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.
D2 · Cognitive Complexity · KeyValueParser.parseKeyValuePartial (cognitive 49) · ×1
  • KeyValueParser.parseKeyValuePartial (cognitive 49) src/Argu/Parsers/KeyValue.fs:31 — KeyValueParser.parseKeyValuePartial has cognitive complexity 49 (threshold 15). Drivers by points: if/else 9 (25 pts), error handling 4 (12 pts), match/switch 3 (6 pts), loops 1 (5 pts), boolean chains 1 (nesting depth added 31). 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.
D2 · Cognitive Complexity · CliParser.handleCliParam (cognitive 44) · ×1
  • CliParser.handleCliParam (cognitive 44) src/Argu/Parsers/Cli.fs:327 — CliParser.handleCliParam has cognitive complexity 44 (threshold 15). Drivers by points: error handling 6 (19 pts), match/switch 7 (13 pts), if/else 4 (9 pts), loops 1 (3 pts) (nesting depth added 26). 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.
D2 · Cognitive Complexity · UnParsers.mkCommandLineArgs (cognitive 35) · ×1
  • UnParsers.mkCommandLineArgs (cognitive 35) src/Argu/UnParsers.fs:295 — UnParsers.mkCommandLineArgs has cognitive complexity 35 (threshold 15). Drivers by points: if/else 6 (16 pts), match/switch 4 (12 pts), loops 2 (7 pts) (nesting depth added 23). 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.
D2 · Cognitive Complexity · UnParsers.mkArgUsage (cognitive 31) · ×1
  • UnParsers.mkArgUsage (cognitive 31) src/Argu/UnParsers.fs:134 — UnParsers.mkArgUsage has cognitive complexity 31 (threshold 15). Drivers by points: if/else 6 (11 pts), loops 3 (10 pts), match/switch 4 (10 pts) (nesting depth added 18). 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.
D2 · Cognitive Complexity · Utils.escapeCliString (cognitive 27) · ×1
  • Utils.escapeCliString (cognitive 27) src/Argu/Utils.fs:145 — Utils.escapeCliString has cognitive complexity 27 (threshold 15). Drivers by points: if/else 9 (17 pts), match/switch 1 (5 pts), loops 1 (4 pts), boolean chains 1 (nesting depth added 15). 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.
D2 · Cognitive Complexity · Utils.wordwrap (cognitive 26) · ×1
  • Utils.wordwrap (cognitive 26) src/Argu/Utils.fs:335 — Utils.wordwrap has cognitive complexity 26 (threshold 15). Drivers by points: if/else 7 (12 pts), loops 5 (11 pts), boolean chains 3 (nesting depth added 11). 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.
D2 · Cognitive Complexity · CliTokenReader.GetNextToken (cognitive 23) · ×1
  • CliTokenReader.GetNextToken (cognitive 23) src/Argu/Parsers/Cli.fs:26 — CliTokenReader.GetNextToken has cognitive complexity 23 (threshold 15). Drivers by points: if/else 10 (15 pts), match/switch 3 (8 pts) (nesting depth added 10). 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.
D2 · Cognitive Complexity · UnParsers.mkUsageStringWithLabels (cognitive 23) · ×1
  • UnParsers.mkUsageStringWithLabels (cognitive 23) src/Argu/UnParsers.fs:230 — UnParsers.mkUsageStringWithLabels has cognitive complexity 23 (threshold 15). Drivers by points: if/else 6 (9 pts), loops 4 (9 pts), match/switch 3 (4 pts), boolean chains 1 (nesting depth added 9). 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.
D2 · Cognitive Complexity · UnParsers.mkAppSettingsDocument (cognitive 18) · ×1
  • UnParsers.mkAppSettingsDocument (cognitive 18) src/Argu/UnParsers.fs:352 — UnParsers.mkAppSettingsDocument has cognitive complexity 18 (threshold 15). Drivers by points: match/switch 5 (12 pts), loops 1 (4 pts), if/else 2 (nesting depth added 10). 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.
D2 · Cognitive Complexity · PreCompute.preComputeUnionArgInfoInner (cognitive 16) · ×1
  • PreCompute.preComputeUnionArgInfoInner (cognitive 16) src/Argu/PreCompute.fs:545 — PreCompute.preComputeUnionArgInfoInner has cognitive complexity 16 (threshold 15). Drivers by points: match/switch 7 (9 pts), if/else 3, loops 1 (3 pts), boolean chains 1 (nesting depth added 4). 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.
D3 · God Classes · FileTooLong · ×1
  • FileTooLong: Argu/PreCompute.fs src/Argu/PreCompute.fs — FileTooLong — 550 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 50 over it, 1.10× 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.
D31 · IaC & Container Security · Medium IaC · ×1
  • REDACTED
D36 · Supply-chain Provenance & Signing REDACTED · ×1
  • REDACTED
D4 · Code Duplication · Duplicated block (16–17 lines × 2) · ×1
  • Duplicated block (16–17 lines × 2) src/Argu/UnParsers.fs:67 — src/Argu/UnParsers.fs:67-83 | src/Argu/UnParsers.fs:150-165 — 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.
D4 · Code Duplication · Duplicated block (6 lines × 2) · ×1
  • Duplicated block (6 lines × 2) src/Argu/PreCompute.fs:121 — src/Argu/PreCompute.fs:121-126 | src/Argu/PreCompute.fs:160-165 — 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.
D8 · Code Coverage · Coverage not measured · ×1
  • Coverage not measured — no coverage collector is wired up — Coverage NOT MEASURED: this repository runs its tests on Microsoft.Testing.Platform (its global.json opts in), where coverage comes from a coverage extension the test project references — and none is wired up: no build file names `Microsoft.Testing.Extensions.CodeCoverage` or `coverlet.MTP`. The absence of coverage here is therefore not evidence about the suite or about our analyzer environment. Add one of those PackageReferences to the test project(s) (or commit the Cobertura/OpenCover/lcov report your CI produces) and real coverage will be measured. It is excluded from the score rather than counted as a near-zero defect.
Minor — 10 finding(s)
D12 · Dependency Hygiene · Outdated · ×2
  • Outdated: FSharp.Core Directory.Packages.props:10 — FSharp.Core 6.0.0 → 10.1.402 available (referenced by Argu.Benchmarks).
  • Outdated: System.Configuration.ConfigurationManager Directory.Packages.props:11 — System.Configuration.ConfigurationManager 4.4.0 → 10.0.13 available (referenced by Argu).
D16 · Bus Factor · Off-boarding risk · ×1
  • Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 7 significant file(s) lose their only recent owner: src/Argu/Parsers/Cli.fs, src/Argu/ParseResults.fs, src/Argu/Attributes.fs, src/Argu/Types.fs, src/Argu/ConfigReaders.fs, src/Argu/Parsers/KeyValue.fs, src/Argu/Parsers/Common.fs. Pair on, review, or document these before any departure.
D19 · Documentation Quality · Documentation · ×1
  • Documentation: no installation or build instructions README.md — There are no installation, build, or setup instructions in any document. Add a short install/restore line (dot net tool/install) under the title 'Getting started'.
D27 · Navigability · Scattered collaborators · ×1
  • Scattered collaborators — 90 % of calls cross a namespace and only 59 % of collaborators are co-located — group each feature's code into a vertical slice so a call's collaborators sit together.
D39 · IL Efficiency · IL efficiency · ×1
  • IL efficiency: 7 authored method(s) exceed the IL budget src/Argu/PreCompute.fs:279 — 7 of 964 first-party methods compile to oversized IL bodies (> 250 instructions); worst: Argu.PreCompute.preComputeUnionCaseArgInfo @ src/Argu/PreCompute.fs:279, 637 IL instructions; that pulled this dimension to 9.9/10. These bodies are far past the JIT's inline budget, so splitting them does not make them inlinable — what moves the number is emitting less: collapsing LINQ chains and closures on hot paths, and interpolation built eagerly where it is only sometimes used.
M1 · Documentation (README) · Thin README · ×1
  • Thin README — The root README is 62 words, against a bar of 120. Of the three newcomer-critical sections this check looks for by heading, it found no an architecture or project-map section. Sections are matched on HEADING text only, so material written under a heading this check does not recognise — or with no heading at all — is not seen and this row may understate what the document covers.
M2 · Architecture documentation · No ADRs · ×1
  • 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.
M2 · Architecture documentation · No architecture diagram/doc · ×1
  • No architecture diagram/doc — No C4/Structurizr/PlantUML/Mermaid/Graphviz/D2 diagram, no drawn diagram named for the architecture, no file named `architecture` or `design` in any markup this check reads, and nothing in the README, docs or contributor guides that announces the shape — no `## Architecture` heading, no "architecture overview"/"high-level design" phrasing, no "the architecture is …" introduction, no guided code tour. A shape laid out in prose that never names itself as the architecture is not visible to this check, and neither is one kept outside the repository, so this row reports the absence of a re-findable shape document — not evidence that nobody wrote the shape down.
P3 · Security & performance tooling · No SAST · ×1
  • No SAST — No static application security testing detected. For this repository's stack, add `semgrep --config=auto` plus gitleaks for committed secrets (F# is not a CodeQL language and has no language-specific SAST engine) as a CI step. What was searched, so you can tell an absence from a miss: the 1775 CI workflow file(s) in this repository, and the scanner and linter configuration checked in beside them. A scan that runs outside CI, one configured in your forge's web UI rather than in a committed file, or a tool whose name is none of those this check carries, is not seen — if that is your case the row is wrong, and saying so is more useful than adding a second scanner.
Minor — 4 finding(s)
D12 · Dependency Hygiene · Outdated · ×4
  • Outdated: BenchmarkDotNet — BenchmarkDotNet 0.14.0 → 0.15.8 available (referenced by Argu.Benchmarks).
  • Outdated: Microsoft.Extensions.Configuration.Abstractions — Microsoft.Extensions.Configuration.Abstractions 8.0.0 → 10.0.13 available (referenced by Argu.Extensions.Configuration).
  • Outdated: DotNet.ReproducibleBuilds — DotNet.ReproducibleBuilds 2.0.2 → 2.0.5 available (referenced by Argu.SourceGenerator).
  • Outdated: xunit.v3.mtp-v2 — xunit.v3.mtp-v2 3.2.2 → 4.0.2 available (referenced by Argu.Tests).

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.

DimensionToolVersionCommandFindingsRaw output
D28 · Secrets (history)gitleaks—gitleaks detect --no-banner --config /opt/gitleaks-rules/watchdog-gitleaks.toml --report-format json --report-path /tmp/watchdog-gitleaks-2a610047bce542218fe68141a2414d9c/history.json --exit-code 0 --source .0artifacts/raw/gitleaks-history.json
D28 · Secrets (history)gitleaks—gitleaks detect --no-git --no-banner --config /opt/gitleaks-rules/watchdog-gitleaks.toml --report-format json --report-path /tmp/watchdog-gitleaks-2a610047bce542218fe68141a2414d9c/tree.json --exit-code 0 --source .0artifacts/raw/gitleaks-tree.json
D29 · Static Analysis (SAST)semgrep—semgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --config /opt/semgrep-rules/watchdog-sast.yml --json --quiet --timeout 10 --timeout-threshold 3 --metrics off .8artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilitiesdotnet—dotnet list Argu.slnx package --vulnerable --include-transitive --format json0artifacts/raw/dotnet-vulnerable.json
D31 · IaC & Container Securitytrivy—trivy config --format json --quiet .2artifacts/raw/trivy-config.json
D32 · Data Compliance (PII/GDPR)semgrep—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.0—
D37 · Vulnerability-disclosure Policydisclosure—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.0—
D40 · Network Egress Confinementruntime-hardening—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.0—
D41 · Kernel & Syscall Confinementruntime-hardening—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.0—
D42 · Runtime Threat Enforcementruntime-hardening—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.0—
D43 · Malicious Dependenciesnone (no readable dependency manifest)—none (no readable dependency manifest): not applicable — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, an Elixir mix.exs/mix.lock (Hex), a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems) — not scanned yet).0—

Run 01a16a5b-1273-779b-98f3-5dfa620523e7 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Issues: 9 · Warnings: 34 · Recommendations: 10 · Info: 4 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 23-10-2026 @ 20:01 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.

⬇ Findings, MITRE CWE-tagged .sarif⬇ Health changelog .md