Public report — dsgamemaker, published 3 Aug 2026.
Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version;
ask the repo owner for the full report.
99findings with an exact file:lineof 108 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
28/93dimensions across the health lenses8747 LoC · 1 projects — wide & deep
Executive summary
Read through the Production lens — the standard calibration. *Green* means good enough to run in production. The score is absolute and comparable across repos.
jadaradix/dsgamemaker carries serious gaps (43%). Several issues below can materially affect correctness, security, or the cost of changing it — and propagate to everything that depends on it.
It is strongest in Security (100%) — its security and compliance posture is in good shape. Architecture (84%) is solid too.
The area that most needs attention is Readiness (23%) — releases are harder to depend on — versioning, release notes and dependency hygiene are thin, so consumers can't easily tell what changed or trust an upgrade. Maturity (40%) is the next concern — onboarding is slow — key decisions and the architecture aren't written down, so contributors have to reverse-engineer the intent.
Leadership focus, highest impact first: CI workflow that builds and runs the test suite on every push/PR (CI/CD gates); 1 No automated tests finding(s) in Code Coverage (Code Coverage); 1 No tests found finding(s) in Test Distribution (Test Distribution).
For scale: Small (~8,747 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.
Encouragingly, the gaps are in documentation and release process — not in the code's correctness, structure or security, which are strong. They're low-risk to close, and doing so would lift the grade without re-engineering anything that already works.
How the score is built — each lens's share of the headlineWidth is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
0.7× (at 43% quality) — the last 20% of quality is most of the work
Size & shape
Small · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)
This codebase represents roughly ~0.1 person-years of build effort (about ~€7,900 to rebuild). Its weakest lens is Readiness at 23% — the part of that asset most exposed by the findings below.
How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.1) — desktop/game × a 0.7× quality factor, at €60–95/h; indicative, ±~30% · effort from total production LoC as straight-line logic (the tier split is a C#-only syntax walk), a conservative lower bound. Indicative only — most sensitive to the hourly rate and the domain tier (both tunable in config).
Top priorities
The highest-leverage moves; the full ranked list is in the Roadmap below.
1
Resolve the 1 No automated tests finding(s) in Code Coverage.
Value concentrated against a weak lens · High · Value at risk
This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Readiness at 23%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
→ Direct remediation budget at Readiness first — highest risk-reduction per euro on an asset this size.
A velocity tax on every change · High · Economics
The code-quality signals (complexity, duplication, cohesion) average 3.4/10, which acts as a tax on every change in the weaker areas: modifications there plausibly cost on the order of 11–26% more than in clean code, and the tax compounds as the codebase grows. (A modelled estimate, not a measured fact.)
Evidence: D1/D2/D4/D6 code quality: averaging 3.4/10 across the code-quality signals actually measured
→ Pay it down where churn is highest — the hotspots — not everywhere; that's where the tax is actually paid.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Add a CI workflow that builds and runs the test suite on every push/PR. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Add a CI workflow that builds and runs the test suite on every push/PR.
At a glance — Code Health · 71% · Adequate · gated by D1, D2
First, establish a continuous integration workflow to automatically build and test every change. Next, address the lack of automated tests by resolving the identified coverage gaps and ensuring all code is tested. Then, maintain a clear changelog to track release history and improve release hygiene. Finally, expand the README with a getting-started guide, architecture overview, and project map to improve documentation.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Resolve the 1 No automated tests finding(s) in Code Coverage.
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Documentation Quality: The README states this is 'THIS IS LEGACY SOFTWARE AND I DO NOT OFFER ANY SUPPORT FOR IT' with no guidance on building, running, or contributing.
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. 26 of 28 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 2 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.4 — 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 — 28 dimensions across the health lenses
Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.
How to trust any code-health report — three questions
Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 99 of 108 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.
This report answers yes to all three. That's the bar to hold any assessment to.
Tools & methods
The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.
Method
Backs
Version
Evaluator
Roslyn static analysis
Complexity, cohesion, coupling, dead code, API surface, layering
A clean run — every tool resolved and ran, and every applicable dimension was measured at full confidence. No scanner was unavailable, no analysis timed out or crashed, and nothing fell back to a degraded estimate.
When something does degrade — a missing scanner, a shallow clone, an LLM hiccup — it is named here explicitly and its exact cause recorded in diagnostics.md, never absorbed silently into the score.
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 (jscpd) — 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.
D8 Code Coverage: Coverage is measured by building and running the test suite inside Watchdog's isolated image — the target repo is never modified, and nothing on your systems runs. So coverage exists only when the suite builds and runs within the inline time budget; one that needs external services, can't build, or exceeds the budget yields no coverage (D8 then degrades to not-measured, not a low score). Line coverage also says nothing about assertion quality.
D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D12 Dependency Hygiene: Dependency health reads manifests and lockfiles — a vulnerability in a vendored/copied dependency, or risk from how a dependency is actually used, is outside this view.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
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.
D17 Explicit Debt: Acknowledged-debt signals (TODO/FIXME, suppressions, dead code) are textual — undocumented debt that nobody marked, and debt that lives in design rather than annotations, is invisible. Committed machine-written code (scaffolded migrations, designer/codegen output, generated stubs) is excluded — it is never the team's dead code to delete.
D18 Solution Shape: Build integrity reflects whether the solution compiled in this environment — a build that needs a private feed, a specific SDK, or a generated file absent from the repo can read as broken when it is merely unreproducible here.
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.
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.
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").
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.
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.
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 (documentation, ADR quality, naming, comment value, onboarding) — D25 sets the ADR-conformance fraction over sampled code, D22 judges API accuracy over a sample. These 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.
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.
+ 20 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 1 DSGMlib.CompileGame (cyclomatic 222) finding(s) in Cyclomatic Complexity — start with DSGMLib.vb. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 DSGMlib.DeleteResource (cyclomatic 84) finding(s) in Cyclomatic Complexity — start with DSGMLib.vb. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 ScriptsLib.ScriptParseFromContent (cyclomatic 61) finding(s) in Cyclomatic Complexity — start with ScriptsLib.vb. — One of this dimension's main actionable groups (1 warning-level).
Stand up a CI pipeline, then gate Cyclomatic Complexity in it to reach Verified (currently Documented). — This repository has no CI pipeline, so there is nothing to add a gate to yet — the pipeline comes first. Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: How hard the code is for a person to follow, beyond raw branching.
Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.
+ 38 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 1 DSGMlib.CompileGame (cognitive 623) finding(s) in Cognitive Complexity — start with DSGMLib.vb. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 DSGMlib.DeleteResource (cognitive 224) finding(s) in Cognitive Complexity — start with DSGMLib.vb. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 ScriptsLib.ScriptParseFromContent (cognitive 173) finding(s) in Cognitive Complexity — start with ScriptsLib.vb. — One of this dimension's main actionable groups (1 warning-level).
Stand up a CI pipeline, then gate Cognitive Complexity in it to reach Verified (currently Documented). — This repository has no CI pipeline, so there is nothing to add a gate to yet — the pipeline comes first. Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D3 · God Classes8.6 / 10Strong✓ Tool-verified
What it measures: Over-large classes that try to do too much ("god classes").
Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.
Resolve the 3 FileTooLong finding(s) in God Classes — start with DSGMLib.vb, DObject.vb, MainForm.vb. — One of this dimension's main actionable groups (3 warning-level).
Resolve the 3 TooManyMethods finding(s) in God Classes — start with DSGMLib.vb, MainForm.vb, DObject.vb. — One of this dimension's main actionable groups (3 warning-level).
Stand up a CI pipeline, then gate God Classes in it to reach Verified (currently Documented). — This repository has no CI pipeline, so there is nothing to add a gate to yet — the pipeline comes first. Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Copy-pasted code that should be shared instead.
Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.
Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
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.
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.
Resolve the 1 Low cohesion finding(s) in Cohesion (LCOM4) — start with MainForm.vb. — One of this dimension's main actionable groups (1 warning-level).
Stand up a CI pipeline, then gate Cohesion (LCOM4) in it to reach Verified (currently Documented). — This repository has no CI pipeline, so there is nothing to add a gate to yet — the pipeline comes first. Hardens enforcement from Documented toward Verified — provenance only; does not change the score.
Detailed fixes: d6_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D8 · Code Coverage0.0 / 10Critical✓ Tool-verified
What it measures: How much of the code is actually exercised by tests.
Method: Coverage from coverlet runs or committed reports (Cobertura/OpenCover/lcov), computed per-file with structured exclusions for generated, trivial, and glue code. When the suite can't be built/run in-image AND no report is committed, coverage is reported NOT-MEASURED (excluded from the score) with the precondition to make it measurable — never a LoC-ratio proxy folded in as if measured. Deterministic.
No automated tests — no test code was found in this repository.
No automated tests
What to do
Resolve the 1 No automated tests finding(s) in Code Coverage. — One of this dimension's main actionable groups (1 issue-level).
Stand up a CI pipeline, then gate Code Coverage in it to reach Verified (currently Documented). — This repository has no CI pipeline, so there is nothing to add a gate to yet — the pipeline comes first. Hardens enforcement from Documented toward Verified — provenance only; does not change the score.
Detailed fixes: d8_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D9 · Test Distribution0.0 / 10Critical✓ Tool-verified
What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.
Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.
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.
What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.
Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.
What it measures: 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.
Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D17 · Explicit Debt8.0 / 10Strong✓ Tool-verified
What it measures: Acknowledged debt left in the code — TODOs, dead code, suppressed warnings.
Method: Roslyn syntactic debt markers (suppressions/TODO/FIXME/HACK/empty-catch/commented-code/Obsolete) plus SymbolFinder dead-code analysis; weighted-debt-per-KLoC density deducted 2.0x per unit. Deterministic, exhaustive.
17 deducted debt markers + 0 dead symbols across 8747 LoC (1.0/KLoC) → score 8.0.
EmptyCatchBlock · ×10DObject.vb:275
TodoComment · ×5ActionEditor.vb:91
HackCommentDSGMLib.vb:1984
XxxCommentRoom.vb:228
What to do
Resolve the 10 EmptyCatchBlock finding(s) in Explicit Debt — start with MainForm.vb (3), DObject.vb (2), DSGMLib.vb (2). — One of this dimension's main actionable groups (10 issue-level).
Resolve the 5 TodoComment finding(s) in Explicit Debt — start with ActionEditor.vb (3), ImportSprite.vb, Script.vb. — One of this dimension's main actionable groups (5 warning-level).
Resolve the 1 HackComment finding(s) in Explicit Debt — start with DSGMLib.vb. — One of this dimension's main actionable groups (1 warning-level).
Stand up a CI pipeline, then gate Explicit Debt in it to reach Verified (currently Documented). — This repository has no CI pipeline, so there is nothing to add a gate to yet — the pipeline comes first. Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d17_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether the solution is laid out in a sensible, conventional structure.
Method: Solution structure: project count, decomposition, shell-project detection, build success (confirmed failures cap the score); traced to actual .sln files and binaries. Deterministic.
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.
The single README for the DS Game Maker project is a one-line boilerplate banner stating it is legacy and offering no real guidance. There are no architecture or design documents and no XML documentation coverage (0/0), leaving the reader unable to determine how to create or run a game.
The README states this is 'THIS IS LEGACY SOFTWARE AND I DO NOT OFFER ANY SUPPORT FOR IT' with no guidance on building, running, or contributing.README.md
XML-doc coverage: DS Game MakerDS Game Maker.vbproj
What to do
Resolve the 1 The README states this is 'THIS IS LEGACY SOFTWARE AND I DO NOT OFFER… 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.
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.
What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.
Method: Git-history secret scan via gitleaks detect over full history in an isolated checkout; each match flagged High. Exhaustive; degrades cleanly when tool absent.
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).
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; coupling through a build step, config, or non-source file isn't seen.
Other · Architecture — Whether the codebase has a recognisable, scale-appropriate structure (a named architectural style, or modular enough for its size) rather than being an ad-hoc ball of mud.
Method: Roslyn plus csproj analysis: architecture style detection (DDD, clean, vertical-slice, CQRS) and structure fitness for repo size. Deterministic.
Other · Code Health — Unreviewed-generation residue: shipped members still throwing NotImplementedException, and placeholder string literals left in 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.
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 23 words — likely missing build/run/architecture context.
What to do
Expand the README with getting-started, architecture overview and a project map.
Add a build/run (quick start) section to the root README — the first thing a newcomer needs.
Add a 'Testing' section to the root README — how to run the test suite.
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.
Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.
No Architecture Decision Records found — no conventional ADR directory, no `NNNN-title.md` documents 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/PlantUML/Mermaid diagram or architecture.md — the high-level shape isn't documented.
What to do
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.
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.
Production code isn't grouped under a src/ folder — application code, tests and tooling are mixed at the repository root.
No test surface was found — there are no tests here to separate from production code, so the folder question hasn't been reached yet.
What to do
Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.
Start a test surface where your build system looks for one (tests/, test/, spec/, or your ecosystem's test source set) — the separation follows from putting the first tests in the right place.
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.
README omits the NewUI and Resources subdirectories entirely
What to do
Reconcile the README with reality: README omits the NewUI and Resources subdirectories entirely.
Do you agree with this assessment?
P1 · CI/CD gates0.0 / 10Critical✓ Tool-verified
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.
No CI workflow found (.github/workflows, azure-pipelines.yml, .gitlab-ci.yml, …) — changes aren't gated by an automated build/test.
What to do
Add a CI workflow that builds and runs the test suite on every push/PR.
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 CodeQL's csharp pack (it analyses VB.NET too), or a security analyzer package (or `semgrep --config=auto`, which runs on any language) — this repository has no CI pipeline yet, so run it locally to clear the existing findings, then make it a step of the first workflow you add so a regression fails the build.
What to do
Run what this repository's stack ships: CodeQL's csharp pack (it analyses VB.NET too), or a security analyzer package — or `semgrep --config=auto`, which runs on any language — — locally for now, since there is no CI pipeline here yet, and as a step of the first workflow you add so a security regression fails the build instead of landing.
Enable Dependabot/Renovate or a dependency-review gate.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
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.
No CHANGELOG/HISTORY/RELEASES file — what shipped when isn't easy to reconstruct for support or audit. (Versioning/tagging makes releases traceable, but a changelog records the what.)
What to do
Keep a changelog (e.g. Keep-a-Changelog) recording what shipped in each release.
Do you agree with this assessment?
Reference — by lens
The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.
Not included — 65 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 — no DI registrations detected
AX10 Code composition — not assessed — code composition is computed by ROLE over a document set 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
AX2 Stateful singletons — no singleton implementations detected
AX3 Project dependency cycles — not assessed — project cycles and dependency direction are computed over a project-reference graph 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
AX4 Dependency direction — not assessed — project cycles and dependency direction are computed over a project-reference graph 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 — no public interfaces
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX8 Test isolation — not assessed — test isolation is computed from a project graph (which projects are test projects, and what they reference) 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
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C3 Audit Trail — 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.
D10 Test Quality — No tests were found in the analyzed repository to assess for quality.
D11 Test Reliability — Test reliability not included
D14 License Compliance — license scan produced no result — the tool ran but its JSON output could not be parsed; the offline NuGet fallback resolved nothing
D16 Bus Factor — early-stage repository — too few commits for a meaningful bus factor
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 exposed public API
D23 Boundary Type-Coupling — At only 8747 LoC in a single project the codebase is trivially small despite the absence of declared bounded contexts.
D24 Comment Value — No inline comments to assess — comment value is not applicable here.
D25 ADR Conformance — no ADRs to check
D27 Navigability — symbol resolution incomplete — navigability not assessed
D30 Dependency Vulnerabilities — `dotnet list package --vulnerable` could not read this solution's dependency graph — it reported an error for at least one project and returned no package data at all (typically a packages.config / non-PackageReference project, which the command cannot read; classic .NET Framework projects are packages.config by default). No packages could be enumerated, so there was nothing to scan for NuGet CVEs — excluded rather than scored, because an unreadable dependency graph is not a clean one; migrate the project(s) to PackageReference to enable this scan
D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
D32 Data Compliance (PII/GDPR) — Data compliance (PII/GDPR) was not assessed in this scan — no ruleset is currently available for it. This says nothing about how this repository handles personal data, in either direction.
D33 JS/npm Dependency Vulnerabilities — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
D34 Knowledge Freshness — early-stage repository — too little history to judge knowledge freshness
D36 Supply-chain Provenance & Signing — No CI/build pipeline found (.github/.forgejo/.gitea workflows, .gitlab-ci.yml, azure-pipelines*.yml, .pipelines/, .vsts-ci/, Jenkinsfile, .circleci); there is no build to attest provenance for.
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.
D38 OSV Dependency Vulnerabilities — No supported non-.NET dependency lockfile found outside build output (npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven pom.xml, Gradle lockfiles, Python requirements.txt/poetry.lock/Pipfile.lock/pdm.lock, PHP composer.lock, Ruby Gemfile.lock, Elixir mix.lock, Dart pubspec.lock, Swift Package.resolved); nothing for OSV to scan. A NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain.
D39 IL Efficiency — The target did not build, so no IL was available to measure.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D7 Architectural Integrity — no checkable ADRs, and no MSBuild project graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
DM1 Domain Modelling — not scored — this repository shows none of the 3 signals this check looks for
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this check 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 check 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 — no CI workflow found
P2 Observability — Observability was not assessed: this check reads a source model that does not carry this repository's product — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of a logging idiom this check recognises is NOT evidence that this repo lacks structured logging (it may log through its own ecosystem's logger). This is a gap in the analyzer, not a finding about this repository.
P4 Deployment & Rollback — not evidenced — no deploy/rollback/approval signal in the repo; absence of evidence is not evidence of a manual release
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
P7 Outbound HTTP resilience — not applicable — this isn't a service/API/worker
P8 Schema migrations — no EF Core usage detected
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) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored, or wire coverage collection into CI, to enable this cross-layer check
PF1 Benchmark discipline — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
PF2 Allocation hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
PF3 Async & latency hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
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.
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
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
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
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
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.
EmptyCatchBlock DObject.vb:275— empty catch block — the error is discarded with nothing recorded, so a failure here leaves no trace anywhere. Narrow the catch to the exception you actually expect, record it through whatever this codebase already uses to report problems, or — where swallowing really is correct, as it often is on a teardown/dispose path where throwing would mask the original failure — write down WHY in a comment on the catch. The comment has to give the reason: a note that only restates the swallow ("ignored", "do nothing") is read as no explanation at all and leaves this row in place. Any of the three makes the decision reviewable; all three clear this row.
EmptyCatchBlock DObject.vb:286— empty catch block — the error is discarded with nothing recorded, so a failure here leaves no trace anywhere. Narrow the catch to the exception you actually expect, record it through whatever this codebase already uses to report problems, or — where swallowing really is correct, as it often is on a teardown/dispose path where throwing would mask the original failure — write down WHY in a comment on the catch. The comment has to give the reason: a note that only restates the swallow ("ignored", "do nothing") is read as no explanation at all and leaves this row in place. Any of the three makes the decision reviewable; all three clear this row.
EmptyCatchBlock DSGMLib.vb:2078— empty catch block — the error is discarded with nothing recorded, so a failure here leaves no trace anywhere. Narrow the catch to the exception you actually expect, record it through whatever this codebase already uses to report problems, or — where swallowing really is correct, as it often is on a teardown/dispose path where throwing would mask the original failure — write down WHY in a comment on the catch. The comment has to give the reason: a note that only restates the swallow ("ignored", "do nothing") is read as no explanation at all and leaves this row in place. Any of the three makes the decision reviewable; all three clear this row.
EmptyCatchBlock DSGMLib.vb:2284— empty catch block — the error is discarded with nothing recorded, so a failure here leaves no trace anywhere. Narrow the catch to the exception you actually expect, record it through whatever this codebase already uses to report problems, or — where swallowing really is correct, as it often is on a teardown/dispose path where throwing would mask the original failure — write down WHY in a comment on the catch. The comment has to give the reason: a note that only restates the swallow ("ignored", "do nothing") is read as no explanation at all and leaves this row in place. Any of the three makes the decision reviewable; all three clear this row.
EmptyCatchBlock GlobalVariables.vb:143— empty catch block — the error is discarded with nothing recorded, so a failure here leaves no trace anywhere. Narrow the catch to the exception you actually expect, record it through whatever this codebase already uses to report problems, or — where swallowing really is correct, as it often is on a teardown/dispose path where throwing would mask the original failure — write down WHY in a comment on the catch. The comment has to give the reason: a note that only restates the swallow ("ignored", "do nothing") is read as no explanation at all and leaves this row in place. Any of the three makes the decision reviewable; all three clear this row.
EmptyCatchBlock MainForm.vb:215— empty catch block — the error is discarded with nothing recorded, so a failure here leaves no trace anywhere. Narrow the catch to the exception you actually expect, record it through whatever this codebase already uses to report problems, or — where swallowing really is correct, as it often is on a teardown/dispose path where throwing would mask the original failure — write down WHY in a comment on the catch. The comment has to give the reason: a note that only restates the swallow ("ignored", "do nothing") is read as no explanation at all and leaves this row in place. Any of the three makes the decision reviewable; all three clear this row.
EmptyCatchBlock MainForm.vb:464— empty catch block — the error is discarded with nothing recorded, so a failure here leaves no trace anywhere. Narrow the catch to the exception you actually expect, record it through whatever this codebase already uses to report problems, or — where swallowing really is correct, as it often is on a teardown/dispose path where throwing would mask the original failure — write down WHY in a comment on the catch. The comment has to give the reason: a note that only restates the swallow ("ignored", "do nothing") is read as no explanation at all and leaves this row in place. Any of the three makes the decision reviewable; all three clear this row.
EmptyCatchBlock MainForm.vb:470— empty catch block — the error is discarded with nothing recorded, so a failure here leaves no trace anywhere. Narrow the catch to the exception you actually expect, record it through whatever this codebase already uses to report problems, or — where swallowing really is correct, as it often is on a teardown/dispose path where throwing would mask the original failure — write down WHY in a comment on the catch. The comment has to give the reason: a note that only restates the swallow ("ignored", "do nothing") is read as no explanation at all and leaves this row in place. Any of the three makes the decision reviewable; all three clear this row.
EmptyCatchBlock Sound.vb:43— empty catch block — the error is discarded with nothing recorded, so a failure here leaves no trace anywhere. Narrow the catch to the exception you actually expect, record it through whatever this codebase already uses to report problems, or — where swallowing really is correct, as it often is on a teardown/dispose path where throwing would mask the original failure — write down WHY in a comment on the catch. The comment has to give the reason: a note that only restates the swallow ("ignored", "do nothing") is read as no explanation at all and leaves this row in place. Any of the three makes the decision reviewable; all three clear this row.
EmptyCatchBlock Sound.vb:130— empty catch block — the error is discarded with nothing recorded, so a failure here leaves no trace anywhere. Narrow the catch to the exception you actually expect, record it through whatever this codebase already uses to report problems, or — where swallowing really is correct, as it often is on a teardown/dispose path where throwing would mask the original failure — write down WHY in a comment on the catch. The comment has to give the reason: a note that only restates the swallow ("ignored", "do nothing") is read as no explanation at all and leaves this row in place. Any of the three makes the decision reviewable; all three clear this row.
TodoComment ActionEditor.vb:91— 'TODO LATER — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `' REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment ActionEditor.vb:94— 'TODO LATER — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `' REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment ActionEditor.vb:100— 'TODO LATER — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `' REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment ImportSprite.vb:69— 'TODO LATER Rows beyond the image width = bad frames! — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `' REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment Script.vb:85— 'TODO LATER - after renaming, update references to this in: — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `' REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
FileTooLong: ./DSGMLib.vb DSGMLib.vb:0— FileTooLong — 2056 significant lines (blank, comment-only and punctuation-only lines excluded). 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.
FileTooLong: ./DObject.vb DObject.vb:0— FileTooLong — 949 significant lines (blank, comment-only and punctuation-only lines excluded). 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.
FileTooLong: ./MainForm.vb MainForm.vb:0— FileTooLong — 690 significant lines (blank, comment-only and punctuation-only lines excluded). 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.
TooManyMethods: DSGMlib DSGMLib.vb:0— TooManyMethods — 2053 significant lines (blank, comment-only and punctuation-only lines excluded), 71 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: MainForm MainForm.vb:0— TooManyMethods — 687 significant lines (blank, comment-only and punctuation-only lines excluded), 58 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: DObject DObject.vb:0— TooManyMethods — 947 significant lines (blank, comment-only and punctuation-only lines excluded), 44 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
Duplicated block (6 lines × 2) EditCode.vb:45— EditCode.vb:45-50 | Script.vb:167-172 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once.
Duplicated block (6 lines × 2) GlobalStructures.vb:54— GlobalStructures.vb:54-59 | GlobalVariables.vb:159-164 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once.
Duplicated block (6 lines × 2) Sprite.vb:16— Sprite.vb:16-21 | Sprite.vb:369-374 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `Sprite.vb:16` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
DSGMlib.CompileGame (cyclomatic 222) DSGMLib.vb:223— DSGMlib.CompileGame has cyclomatic complexity 222 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
DSGMlib.DeleteResource (cyclomatic 84) DSGMLib.vb:1682— DSGMlib.DeleteResource has cyclomatic complexity 84 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
ScriptsLib.ScriptParseFromContent (cyclomatic 61) ScriptsLib.vb:5— ScriptsLib.ScriptParseFromContent has cyclomatic complexity 61 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
Background.DAcceptButton_Click (cyclomatic 46) Background.vb:28— Background.DAcceptButton_Click has cyclomatic complexity 46 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
Action.Action_Load (cyclomatic 42) Action.vb:93— Action.Action_Load has cyclomatic complexity 42 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
DObject.DAcceptButton_Click (cyclomatic 42) DObject.vb:392— DObject.DAcceptButton_Click has cyclomatic complexity 42 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
Options.DOkayButton_Click (cyclomatic 27) Options.vb:4— Options.DOkayButton_Click has cyclomatic complexity 27 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
Sprite.DAcceptButton_Click (cyclomatic 27) Sprite.vb:326— Sprite.DAcceptButton_Click has cyclomatic complexity 27 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
DObject.ActionMouseUp (cyclomatic 24) DObject.vb:67— DObject.ActionMouseUp has cyclomatic complexity 24 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
ActionEditor.SaveButton_Click (cyclomatic 23) ActionEditor.vb:88— ActionEditor.SaveButton_Click has cyclomatic complexity 23 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
DSGMlib.OpenProject (cyclomatic 23) DSGMLib.vb:2087— DSGMlib.OpenProject has cyclomatic complexity 23 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
TransformSprite.DOkayButton_Click (cyclomatic 23) TransformSprite.vb:13— TransformSprite.DOkayButton_Click has cyclomatic complexity 23 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
Room.MakeRoomImage (cyclomatic 21) Room.vb:53— Room.MakeRoomImage has cyclomatic complexity 21 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
Action.DOkayButton_Click (cyclomatic 19) Action.vb:14— Action.DOkayButton_Click has cyclomatic complexity 19 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
DObject.ActionsList_DrawItem (cyclomatic 18) DObject.vb:727— DObject.ActionsList_DrawItem has cyclomatic complexity 18 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
DSGMlib.IntelliSense (cyclomatic 18) DSGMLib.vb:1595— DSGMlib.IntelliSense has cyclomatic complexity 18 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
MainForm.MainForm_Load (cyclomatic 18) MainForm.vb:35— MainForm.MainForm_Load has cyclomatic complexity 18 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
ActionEditor.ActionsTreeView_NodeMouseDoubleClick (cyclomatic 17) ActionEditor.vb:34— ActionEditor.ActionsTreeView_NodeMouseDoubleClick has cyclomatic complexity 17 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
DObject.PopulateActionsTabControl (cyclomatic 17) DObject.vb:260— DObject.PopulateActionsTabControl has cyclomatic complexity 17 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
DSGMlib.CopyResource (cyclomatic 17) DSGMLib.vb:1909— DSGMlib.CopyResource has cyclomatic complexity 17 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
Room.DAcceptButton_Click (cyclomatic 17) Room.vb:281— Room.DAcceptButton_Click has cyclomatic complexity 17 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
ScriptsLib.ArgumentStringToType (cyclomatic 17) ScriptsLib.vb:286— ScriptsLib.ArgumentStringToType has cyclomatic complexity 17 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
DObject.EventsListBox_DrawItem (cyclomatic 16) DObject.vb:579— DObject.EventsListBox_DrawItem has cyclomatic complexity 16 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
MainForm.ResRightClickMenu_Opening (cyclomatic 16) MainForm.vb:671— MainForm.ResRightClickMenu_Opening has cyclomatic complexity 16 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
Sound.DAcceptButton_Click (cyclomatic 16) Sound.vb:35— Sound.DAcceptButton_Click has cyclomatic complexity 16 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function, or replace a long branch ladder over a single value with a data-driven lookup or dispatch table.
HackComment DSGMLib.vb:1984— 'Hack — a workaround marked in source: record what it is compensating for and what would allow its removal (the upstream fix, the API it is waiting on, the invariant it restores), so the next reader can judge whether it is still needed rather than rediscovering why it is there.
XxxComment Room.vb:228— 'XXX — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `' REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
DSGMlib.CompileGame (cognitive 623) DSGMLib.vb:223— DSGMlib.CompileGame has cognitive complexity 623 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DSGMlib.DeleteResource (cognitive 224) DSGMLib.vb:1682— DSGMlib.DeleteResource has cognitive complexity 224 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
ScriptsLib.ScriptParseFromContent (cognitive 173) ScriptsLib.vb:5— ScriptsLib.ScriptParseFromContent has cognitive complexity 173 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Action.Action_Load (cognitive 105) Action.vb:93— Action.Action_Load has cognitive complexity 105 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Background.DAcceptButton_Click (cognitive 104) Background.vb:28— Background.DAcceptButton_Click has cognitive complexity 104 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DObject.DAcceptButton_Click (cognitive 90) DObject.vb:392— DObject.DAcceptButton_Click has cognitive complexity 90 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Sprite.DAcceptButton_Click (cognitive 51) Sprite.vb:326— Sprite.DAcceptButton_Click has cognitive complexity 51 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DObject.ActionsList_DrawItem (cognitive 43) DObject.vb:727— DObject.ActionsList_DrawItem has cognitive complexity 43 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Action.DOkayButton_Click (cognitive 42) Action.vb:14— Action.DOkayButton_Click has cognitive complexity 42 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Room.MakeRoomImage (cognitive 41) Room.vb:53— Room.MakeRoomImage has cognitive complexity 41 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DObject.ActionMouseUp (cognitive 39) DObject.vb:67— DObject.ActionMouseUp has cognitive complexity 39 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DObject.PopulateActionsTabControl (cognitive 39) DObject.vb:260— DObject.PopulateActionsTabControl has cognitive complexity 39 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Options.DOkayButton_Click (cognitive 35) Options.vb:4— Options.DOkayButton_Click has cognitive complexity 35 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
TransformSprite.DOkayButton_Click (cognitive 32) TransformSprite.vb:13— TransformSprite.DOkayButton_Click has cognitive complexity 32 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
ActionEditor.SaveButton_Click (cognitive 31) ActionEditor.vb:88— ActionEditor.SaveButton_Click has cognitive complexity 31 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DSGMlib.OpenProject (cognitive 31) DSGMLib.vb:2087— DSGMlib.OpenProject has cognitive complexity 31 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DSGMlib.IntelliSense (cognitive 27) DSGMLib.vb:1595— DSGMlib.IntelliSense has cognitive complexity 27 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Room.TopScreen_MouseClick (cognitive 27) Room.vb:342— Room.TopScreen_MouseClick has cognitive complexity 27 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
MainForm.AddBackgroundButton_Click (cognitive 26) MainForm.vb:267— MainForm.AddBackgroundButton_Click has cognitive complexity 26 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
ActionEditor.ActionsTreeView_NodeMouseDoubleClick (cognitive 25) ActionEditor.vb:34— ActionEditor.ActionsTreeView_NodeMouseDoubleClick has cognitive complexity 25 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DSGMlib.ImageCountColors (cognitive 25) DSGMLib.vb:1368— DSGMlib.ImageCountColors has cognitive complexity 25 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Sound.DAcceptButton_Click (cognitive 25) Sound.vb:35— Sound.DAcceptButton_Click has cognitive complexity 25 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DSGMlib.UpdateArrayActionsName (cognitive 24) DSGMLib.vb:1554— DSGMlib.UpdateArrayActionsName has cognitive complexity 24 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Room.DAcceptButton_Click (cognitive 23) Room.vb:281— Room.DAcceptButton_Click has cognitive complexity 23 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Room.BottomScreen_MouseClick (cognitive 23) Room.vb:401— Room.BottomScreen_MouseClick has cognitive complexity 23 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
ActionsLib.ActionEquateDisplay (cognitive 22) ActionsLib.vb:4— ActionsLib.ActionEquateDisplay has cognitive complexity 22 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DObject.ActionRightClickMenu_Opening (cognitive 22) DObject.vb:959— DObject.ActionRightClickMenu_Opening has cognitive complexity 22 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DSGMlib.CopyResource (cognitive 22) DSGMLib.vb:1909— DSGMlib.CopyResource has cognitive complexity 22 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
MainForm.LoadLastProject (cognitive 21) MainForm.vb:340— MainForm.LoadLastProject has cognitive complexity 21 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
MainForm.MainForm_Shown (cognitive 21) MainForm.vb:536— MainForm.MainForm_Shown has cognitive complexity 21 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Sprite.PreviewButton_Click (cognitive 20) Sprite.vb:37— Sprite.PreviewButton_Click has cognitive complexity 20 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DObject.EventsListBox_SelectedIndexChanged (cognitive 19) DObject.vb:829— DObject.EventsListBox_SelectedIndexChanged has cognitive complexity 19 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
MainForm.MainForm_Load (cognitive 19) MainForm.vb:35— MainForm.MainForm_Load has cognitive complexity 19 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
MainForm.ResRightClickMenu_Opening (cognitive 18) MainForm.vb:671— MainForm.ResRightClickMenu_Opening has cognitive complexity 18 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Room.Screens_MouseMove (cognitive 18) Room.vb:537— Room.Screens_MouseMove has cognitive complexity 18 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DObject.GenerateIndentIndices (cognitive 17) DObject.vb:198— DObject.GenerateIndentIndices has cognitive complexity 17 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DSGMlib.ValidateSomething (cognitive 17) DSGMLib.vb:1430— DSGMlib.ValidateSomething has cognitive complexity 17 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
DSGMlib.UpdateActionsName (cognitive 17) DSGMLib.vb:1656— DSGMlib.UpdateActionsName has cognitive complexity 17 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
FoundInScripts.FindInScriptsDoIt (cognitive 17) FoundInScripts.vb:15— FoundInScripts.FindInScriptsDoIt has cognitive complexity 17 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
ImportSprite.RenderImage (cognitive 16) ImportSprite.vb:13— ImportSprite.RenderImage has cognitive complexity 16 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
MainForm.CompilesToNitroFSButton_Click (cognitive 16) MainForm.vb:589— MainForm.CompilesToNitroFSButton_Click has cognitive complexity 16 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Room.OpenObjectButton_Click (cognitive 16) Room.vb:609— Room.OpenObjectButton_Click has cognitive complexity 16 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
ScriptsLib.ArgumentStringToType (cognitive 16) ScriptsLib.vb:286— ScriptsLib.ArgumentStringToType has cognitive complexity 16 (threshold 15). To reduce it, flatten the nesting: invert conditions into early returns or guard clauses so the happy path stays at one level, and lift the deepest nested block into its own named function.
Duplicated block (9 lines × 2) Room.vb:417— Room.vb:417-425 | Room.vb:543-551 — 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.
Duplicated block (8 lines × 2) Script.vb:249— Script.vb:249-256 | Script.vb:285-292 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `Script.vb:249` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Low cohesion: MainForm (LCOM4 13) MainForm.vb:5— MainForm's methods form 13 groups that share no state and don't call each other — a sign it may have several responsibilities. Review whether it splits into focused classes.
Recommendation — 5 finding(s)
D11 · Test Reliability· Test reliability not included · ×1
Test reliability not included — No test suite was found, so reliability couldn't be assessed.
early-stage repository — too few commits for a meaningful bus factor — early-stage repository — too few commits for a meaningful bus factor (2 author(s) across 9 commit(s) sampled).
D19 · Documentation Quality· The README states this is 'THIS IS LEGACY SOFTWARE AND I DO NOT OFFER ANY SUPPORT FOR IT' with no guidance on building, running, or contributing. · ×1
The README states this is 'THIS IS LEGACY SOFTWARE AND I DO NOT OFFER ANY SUPPORT FOR IT' with no guidance on building, running, or contributing. README.md— Add a short installation/run guide and an overview of the project's features.
early-stage repository — too little history to judge knowledge freshness — early-stage repository — too little history to judge knowledge freshness (9 commit(s) sampled).
No tests found — No test suite could be collected — nothing here references a test framework (xUnit, NUnit or MSTest), so there were no discoverable tests to count. Tests written as plain executables or shell/PowerShell harnesses are not collectible this way and are not scored here.
git history depth insufficient — git history depth insufficient — install a full clone for reliable trend signal.
D18 · Solution Shape· Build did not complete in the analyzer · ×1
Build did not complete in the analyzer — `dotnet build` reported 1 error(s) but no C# compiler diagnostic, so this is a build-environment gap rather than a code defect. The usual causes are a project that targets a platform this run cannot build (a Windows-only target framework on a Linux worker) or a build step that shells out to a tool the image does not carry. Solution Shape is scored on structure and is NOT capped. Semantic analysis is independent of this build and covers every project that loaded — but a project whose restore did not complete has no resolved references, so treat its results as absent rather than clean. Worth checking on your side too: a build that needs undeclared host tooling, or that cannot run off its own platform, is the same wall a new contributor hits.
XML-doc coverage: DS Game Maker DS Game Maker.vbproj— DS Game Maker: 100 % XML-doc coverage (0/0).
D22 · Internal API Consistency· No exposed public API · ×1
No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.
D35 · Change Coupling· git history depth insufficient · ×1
git history depth insufficient — git history depth insufficient — a full clone gives reliable change-coupling.
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.
dotnet: not applicable — `dotnet list package --vulnerable` could not read this solution's dependency graph — it reported an error for at least one project and returned no package data at all (typically a packages.config / non-PackageReference project, which the command cannot read; classic .NET Framework projects are packages.config by default). No packages could be enumerated, so there was nothing to scan for NuGet CVEs — excluded rather than scored, because an unreadable dependency graph is not a clean one; migrate the project(s) to PackageReference to enable this scan
trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
semgrep: not applicable — Data compliance (PII/GDPR) was not assessed in this scan — no ruleset is currently available for it. This says nothing about how this repository handles personal data, in either direction.
trivy: not applicable — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
provenance: not applicable — No CI/build pipeline found (.github/.forgejo/.gitea workflows, .gitlab-ci.yml, azure-pipelines*.yml, .pipelines/, .vsts-ci/, Jenkinsfile, .circleci); there is no build to attest provenance for.
disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
0
—
Run 019fc779-e578-7006-8a66-1b0378989621 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 11 · Warnings: 87 · Recommendations: 5 · Info: 5 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 03-08-2026 @ 11:54 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.