Public report — ingos-abp-api-template, 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.
6findings with an exact file:lineof 65 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
46/97dimensions across the health lenses956 LoC · 6 projects — wide & deep
Executive summary
Read through the Template lens: this is a template / kata / sample / demo — code meant to be read or copied, not operated. The ship-it and operate-it dimensions (CI/CD, observability, ADRs, architecture docs, deployment security) are N/A, and the colour bands on what remains are relaxed to what an example needs. Code correctness stays near-strict; the score is absolute and comparable across repos.
danvic712/ingos-abp-api-template carries serious risk (51%). Several issues below can materially affect reliability, security, or the cost of change and warrant near-term attention.
Most urgent: a critical security exposure was detected (see the Security & Compliance lens). Treat it as a priority regardless of the overall grade.
The area that most needs attention is Readiness (39%) — operating, monitoring and recovering the system safely is harder. Security (51%) is the next concern — exposure to security and compliance incidents is elevated.
Leadership focus, highest impact first: 1 No tests found finding(s) in Test Distribution (Test Distribution); `AddStandardResilienceHandler()` (or Polly policies) to your… (Outbound HTTP resilience); 22 Banned license finding(s) in License Compliance (License Compliance).
For scale: Hobby (~956 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.
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.
A full-fidelity diff against the previous run's complete recorded findings — line-move tolerant: a finding that only shifted line counts as unchanged, only genuinely new titles/files surface here.
How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.2) — service/app, DDD/clean architecture × a 0.7× quality factor, at €60–95/h; indicative, ±~30%. 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 tests found finding(s) in Test Distribution.
Of everything flagged, the best return on effort is: Resolve the 1 No tests found finding(s) in Test Distribution. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Resolve the 1 No tests found finding(s) in Test Distribution.
Architecture — module dependency graph
Project dependencies, layered top-to-bottom; arrows show direction. Any dashed red edge points upward or sideways — a layering smell or cycle. A clean layered graph has none.
Architecture — module dependency matrix
11 modules, 1 dependency — every dependency points down the layering, so there are no cycles. Rows and columns are the same modules, ordered so that a module only depends on ones above it. A cell means the row depends on the column, and its number is how many type pairs create that dependency. Read one thing: is anything above the diagonal? A mark there is a dependency cycle. (A cycle is all this shows — an unusual but cycle-free dependency sits below the diagonal like any other.)
At a glance — Code Health · 75% · Adequate · gated by X5
Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).
OWASP category
Findings
Severity
A06:2021 — Vulnerable & Outdated Components
25
High / Critical
A03:2021 — Injection
2
High / Critical
A05:2021 — Security Misconfiguration
2
High / Critical
Roadmap
First, address the single missing test coverage and the 22 banned license violations to immediately improve quality and compliance. Next, implement HTTP resilience handlers to prevent external dependencies from causing outages. Then, extend structured logging across all projects and provide a diagnostics seam for library code. Finally, adopt a versioned schema migration strategy to manage database changes explicitly.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Resolve the 1 No tests found finding(s) in Test Distribution.
Extend structured logging across the projects you operate, and give the library ones a diagnostics seam instead — an `EventSource`/`ActivitySource` the host can subscribe to, or an optional logger on your options object — rather than taking a logging dependency on your consumers' behalf.
Adopt a versioned schema-migration mechanism (with EF Core: dotnet ef migrations add + Migrate() on startup) as the explicit, versioned schema strategy — no migration mechanism was detected.
Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them.
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. 43 of 46 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 3 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.6 — 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 — 46 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, 6 of 65 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.
This report answers yes to all three. That's the bar to hold any assessment to.
Tools & methods
The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.
Method
Backs
Version
Evaluator
Roslyn static analysis
Complexity, cohesion, coupling, dead code, API surface, layering
What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.
D24 Comment Value — LLM provider failed — The model provider returned an unusable result, so this LLM-assisted dimension fell back to a measurement gap (confidence 0) rather than a penalty. Re-run with a reachable provider to score it.
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.
D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D12 Dependency Hygiene: Dependency health reads manifests and lockfiles — a vulnerability in a vendored/copied dependency, or risk from how a dependency is actually used, is outside this view.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
D14 License Compliance: License compatibility is checked against declared package metadata and a policy — mislabelled or missing license metadata, and obligations that depend on how you distribute, are not resolved here.
D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
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.
D22 Internal API Consistency: API-surface coherence is an LLM judgement over a sample of the public surface — consistency of intent across the whole API is approximated, not exhaustively verified.
D26 Project Cohesion: Project focus is sized from members/namespaces per project — a project that is broad by deliberate design reads the same as one that has sprawled.
D27 Navigability: Indirection/navigability is structural — it measures hops to follow a call, not whether that indirection buys real flexibility or just ceremony.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
D30 Dependency Vulnerabilities: CVE matching depends on accurate package/version metadata and the advisory database — a vulnerability with no published advisory, or in code not declared as a dependency, is not seen.
D31 IaC & Container Security: IaC scanning checks Dockerfiles/Terraform/Kubernetes against best-practice rules — it cannot see the live cloud account, runtime configuration, or drift between the committed config and what is actually deployed.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
D40 Network Egress Confinement: Egress confinement is read from committed Kubernetes manifests — a policy applied out-of-band (cluster-default deny, a service mesh, or a cloud firewall/security group off-repo) is invisible, and a present NetworkPolicy is declared config, not proof the cluster admission-controller actually enforces it at runtime.
D41 Kernel & Syscall Confinement: Syscall/MAC confinement is read from committed manifests — a profile applied by a cluster-wide PodSecurity default or a mutating webhook off-repo isn't seen, and a declared seccomp/AppArmor profile is config presence, not proof the node's kernel actually loaded and enforced it.
AX10 Code composition: Role is inferred from namespace/folder convention, not semantics — a domain concept living in a folder named "Services" reads as application, and the split is lines-of-code, not business value. The business-logic-share score is a SOFT, FLOORED signal: it contributes to the Architecture lens but is floored at the Critical gate, so an infrastructure-heavy design (a gateway, an ETL, a driver) is legitimately low without being nuked to zero.
M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
The LLM boundary
LLM-set scores this run (4): D19, D21, D22, 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.
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.
0 method(s) exceeded the cognitive complexity threshold of 15.
✓ On the Gold path — maintain.
Detailed fixes: d2_recommendation.md.
Do you agree with this assessment?
D3 · God Classes10.0 / 10Exemplary✓ 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.
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.
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.
Off the main sequence: IngosAbpTemplate.Domain.Shared · ×2
What to do
Resolve the 2 Off the main sequence finding(s) in Coupling. — One of this dimension's main actionable groups (2 warning-level).
Enforce Coupling in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d5_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether a class's methods are focused on a single responsibility.
Method: LCOM4 cohesion per production class with at least two methods: connected components of methods sharing state or calls, computed syntactically. Deterministic, not a proxy.
Coverage: Exhaustive · type-level: LCOM4 cohesion computed over every production class — the population is all types, not a name convention.
D9 · Test 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: Whether the licenses of third-party packages are compatible with your policy.
Method: Third-party package licenses resolved from declared package metadata and checked against the configured policy (allow/deny/copyleft). Deterministic; clean = no incompatible license found at metadata depth.
Resolve the 22 Banned license finding(s) in License Compliance. — One of this dimension's main actionable groups (22 issue-level).
Enforce License Compliance in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.
Detailed fixes: d14_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Files that change often and are also complex — the riskiest hotspots.
Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.
What it measures: 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.
1 deducted debt markers + 1 dead symbols across 956 LoC (0.4/KLoC) → score 9.2.
NoWarnInCsprojIngos.Abp.Templates.csproj:17
Dead code: Ltemplates/src/IngosAbpTemplate.Application.Contracts/Permissions/IngosAbpTemplatePermissionDefinitionProvider.cs:17
✓ On the Gold path — maintain.
Detailed fixes: d17_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D18 · Solution Shape8.9 / 10Strong✓ Tool-verified
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.
6 projects, 23 source files, 956 hand-written lines of code (956 production / 0 test), 12 inter-project edges.
Thin analysable surface across projects
What to do
Resolve the 1 Thin analysable surface across projects finding(s) in Solution Shape. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d18_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether the project's documentation is clear, complete, and useful.
Method: 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 is a thin one-file template guide for an ABP API project with Dapr integration. It describes the architecture (an image), install steps that mention versioning and a sample dotnet new command, and a brief 'How to use' section plus a link to an external configuration repo. The body clips mid-creation at the connection-string example before any uninstall or reference sections appear, so those are present in the outline but not shown. It is clear but thin on depth for a template project.
What to do
Improve Documentation Quality — currently 6.0/10. — The single README is a thin one-file template guide for an ABP API project with Dapr integration. It describes the architecture (an image), install steps that mention versioning and a sample dotnet new command, and a brief 'How to use' section plus a link to an external configuration repo. The body clips mid-creation at the connection-string example before any uninstall or reference sections appear, so those are present in the outline but not shown. It is clear but thin on depth for a template project.
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.
0 naming inconsistencies across 114 sampled symbols.
✓ On the Gold path — maintain.
Detailed fixes: d21_recommendation.md.
Do you agree with this assessment?
D22 · Internal API Consistency / 10Exemplary◐ Sampled · advisory
What it measures: Whether the internal API surface is consistent and coherent.
Method: Judged by language model at low temperature over a sample of the public API surface (IsPackable or .Contracts types). Sampled, advisory; confidence discounted by model uncertainty.
What it measures: How far you must trace to follow a call — low indirection and co-located slices read easier.
Method: Call indirection (interface hops, cross-namespace calls, slice-locality scaled) over a sampled set of method invocations, size-aware baseline. Sampled; confidence discounted by symbol-resolution gaps.
Coverage: Slice locality from the first namespace segments, SAMPLED (≤400 methods) — not exhaustive.
90 % of calls cross a namespace and 3 % go through an interface, but 100 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: small — navigation cost is tolerated.
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 any dependencies have known published vulnerabilities (CVEs), direct or transitive.
Method: NuGet CVE scan via dotnet list package --vulnerable including transitive; severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer. Exhaustive, deterministic; degrades when absent.
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.
No strong hidden change-coupling between production files.
✓ On the Gold path — maintain.
Detailed fixes: d35_recommendation.md.
Do you agree with this assessment?
D39 · IL Efficiency10.0 / 10Exemplary✓ Tool-verified
Method: IL instruction count per method, read from the BUILT first-party assemblies via Mono.Cecil (the target is compiled on a deep run); scored on the fraction of methods whose emitted IL body exceeds the size threshold. Sees compiler-generated bloat source can't; not-applicable when the target fails to build. Deterministic.
What it measures: Whether Kubernetes workloads restrict network EGRESS with a NetworkPolicy (or Cilium policy), limiting where a compromised pod can send data or reach a command-and-control server. Presence of committed egress-restricting policy, not runtime enforcement.
Method: Deterministic YAML-manifest inspection (no external tool, no Roslyn — language-agnostic): Kubernetes workloads gate applicability; credits a NetworkPolicy / Cilium policy that restricts egress (policyTypes: [Egress] / egress rules). Reward-leaning (neutral floor climbing to 10, never a deduction — baseline misconfigs stay with D31). Deterministic.
What it measures: Whether Kubernetes workloads confine the kernel boundary — a seccomp profile (RuntimeDefault/Localhost) plus an AppArmor/SELinux mandatory-access-control layer — shrinking the syscall attack surface a container escape would use. Presence of committed confinement config, not runtime enforcement.
Method: Deterministic YAML-manifest inspection (no external tool, no Roslyn): on Kubernetes workloads, credits a seccomp profile (RuntimeDefault/Localhost) and an AppArmor/SELinux MAC layer. Reward-leaning (neutral floor climbing to 10); NotApplicable without workloads. Deterministic.
Resolve the 1 No seccomp profile finding(s) in Kernel & Syscall Confinement. — One of this dimension's main actionable groups (1 recommendation-level).
Resolve the 1 No AppArmor/SELinux confinement finding(s) in Kernel & Syscall Confinement. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d41_recommendation.md · top locations in Appendix A, every location in findings.md.
Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified.
Method: Roslyn line-count by code ROLE: every source file classified Domain/Application/Infrastructure/Test/Generated by namespace + path convention (the shared CodeRoleClassifier), then significant lines summed per role. Deterministic; the advisory score is the business-logic (domain+application) share of production code.
Coverage: Population: ALL source files, each bucketed into ONE of five roles (Domain/Application/Infrastructure/Test/Generated) by namespace + path convention — a file whose layer isn't named in the convention falls to Application (the neutral default), and the split is line-count, not semantic depth or business value.
Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).
Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.
Other · Architecture — Whether dependencies point inward (Domain ← Application ← Infrastructure/Web) — the clean-architecture dependency rule, checked across the project graph.
Method: Layer violations by name-segment inference (Domain/Core to Application to Infrastructure/Web) over the project-reference graph. Exhaustive over all projects, deterministic.
Other · Architecture — Whether 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.
Other · Code Health — Unfinished work detected by code SHAPE, not keywords: members that only throw a "not implemented" exception, methods that take inputs and return a constant, async methods that never await, dead `if (false)` / `#if false` branches, and skeleton types most of whose members are holes. A real, objective slice of technical debt.
A line of code has been commented out rather than removed — dead weight that rots and confuses. Delete it (version control remembers). (×2) — IngosAbpTemplatePermissionDefinitionProvider.cs:14, EntityConfigurationExtensions.cs:44
What to do
Clear the softer debt: remove commented-out code and dead branches, re-enable or delete skipped tests, and replace blanket warning suppressions with targeted ones.
Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.
Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.
What to do
Add a 'Testing' section to the root README — how to run the test suite.
Add a README to the 6 of 6 project(s) that lack one — worth up to 2 pts.
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.
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).
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 — it all sits under templates/ alongside the root build files, so the conventional src/ boundary between the product and its tooling isn't drawn.
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.
Do you agree with this assessment?
P1 · CI/CD gates8.5 / 10Exemplary✓ 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.
A CI pipeline exists and the word "test" appears, but no explicit test-runner invocation (your stack's test command, or a test job) was matched — so either the gate runs tests through a step this pass could not recognise, or "test" is incidental here (a path, "latest", a reporter). Check the coverage dimensions first: if this repo has no test suite yet, that is the finding and this row follows from it. If a suite does exist, make the runner step explicit so the gate is unambiguous.
What to do
Run the test suite in CI via an explicit runner step (`dotnet test` for the toolchain this pipeline already uses) and gate merges on it.
Do you agree with this assessment?
P2 · Observability5.8 / 10Strong✓ Tool-verified
Readiness · Readiness — Whether the code is diagnosable in production — structured logging, tracing/metrics, health checks.
Only 1/4 service-like projects use logging (pure contract/DTO projects are excluded — they have nothing to log). Of those 4, 1 ship a process this repository operates; the rest are libraries their consumer hosts, where the logging decision belongs to the host.
What to do
Extend structured logging across the projects you operate, and give the library ones a diagnostics seam instead — an `EventSource`/`ActivitySource` the host can subscribe to, or an optional logger on your options object — rather than taking a logging dependency on your consumers' behalf.
Add OpenTelemetry tracing/metrics (ActivitySource / AddMetrics) so requests are traceable across the system, not just health-probable.
Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.
Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.
What to do
Add an approval/environment gate (required reviewers / protection rules) before production promotion.
Readiness · Readiness — Whether outbound HTTP calls are wrapped in resilience (retry/timeout/circuit-breaker) so a failing dependency doesn't cascade.
Method: Roslyn scan: Polly resilience markers (Retry, CircuitBreaker, Timeout) on outbound HTTP invocations. Computed per type, deterministic.
The app makes outbound HTTP calls but no resilience handler was detected (Polly / AddStandardResilienceHandler / circuit-breaker). A slow or failing dependency will cascade — add timeouts, retries with back-off, and a circuit breaker.
What to do
Add `AddStandardResilienceHandler()` (or Polly policies) to your HttpClient registrations so a flaky dependency can't take the app down.
Readiness · Readiness — Whether EF Core schema changes go through versioned migrations rather than the un-evolvable EnsureCreated().
Method: Roslyn scan: EF Core DbContext for a versioned migrations directory versus bare EnsureCreated usage. Exhaustive per project, deterministic.
EF Core is used but neither migrations nor EnsureCreated were detected — confirm how the production schema is created and evolved.
What to do
Adopt a versioned schema-migration mechanism (with EF Core: dotnet ef migrations add + Migrate() on startup) as the explicit, versioned schema strategy — no migration mechanism was detected.
Other · Security — Transport security, security headers, secure cookies, input validation, middleware order and crypto hygiene (presence, not runtime).
No Content-Security-Policy / X-Frame-Options / X-Content-Type-Options configuration found — defense in depth, even when a reverse proxy could set them. (−2.0 on this card.)
No UseHttpsRedirection/UseHsts and no reverse-proxy signal — transport security is unverified at the app layer. (−2.0 on this card.)
No ModelState/[ApiController]/FluentValidation signal — inbound payloads reach handlers unvalidated. (−2.0 on this card.)
What to do
Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them.
Enforce HTTPS at the app layer (UseHttpsRedirection / UseHsts) — only skip this if a reverse proxy demonstrably terminates TLS.
Validate inbound models (ModelState/[ApiController]/FluentValidation) to reduce injection and bad-data risk.
Other · Code Health — Whether the code avoids sync-over-async (deadlock-prone blocking on tasks) and async void.
Method: Roslyn syntax scan: async methods scanned for .Wait()/.GetAwaiter().GetResult() and async-void outside event handlers. Deterministic, hard fact per invocation.
Other · Code Health — Whether exceptions are handled rather than silently swallowed or rethrown with lost stack traces.
Method: Roslyn syntax scan: every catch clause counted; empty catches and bare rethrows flagged. Population is all catch clauses, not estimated. Deterministic, hard fact.
Other · Code Health — Whether log calls use message templates (queryable) rather than interpolated strings.
Method: Roslyn syntax scan: every log call-site counted; interpolated-string first-argument violations flagged. Population is all log calls, not estimated. Deterministic.
Other · Code Health — Whether nullable reference types are enabled and not undermined by heavy `!` suppression.
Method: Roslyn compiler-options scan: NullableContextOptions per project; null-forgiving (!) suppression density per 1k syntax nodes. Deterministic, adoption plus suppression penalty.
0/6 NRT-eligible project(s) enable <Nullable>enable</Nullable> (projects targeting a pre-C#-8 framework are excluded — NRTs aren't available there). NRTs catch a whole class of null-deref bugs at compile time.
What to do
Enable <Nullable>enable</Nullable> across all projects and resolve warnings rather than suppressing with `!`.
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.
Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Not included — 51 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
AX2 Stateful singletons — no singleton implementations detected
AX6 Interface segregation — no public interfaces
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX8 Test isolation — no test/production split to check
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
C1 Data Protection — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
C2 Access Controls — This is a dotnet-new template — authorization is deferred to the application you build from it. Add [Authorize]/policies (or imperative guards) when you wire up real users; until then there are no real endpoints to protect.
C3 Audit Trail — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
C4 Data Retention — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
C5 Data-Subject Rights — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
D10 Test Quality — No tests were found in the analyzed repository to assess for quality.
D11 Test Reliability — Test reliability not included
D16 Bus Factor — single-maintainer — knowledge-concentration (bus factor) risk
D20 ADR Quality — N/A — this repo declares itself a template / kata / sample / demo; a formal ADR log is deferred to a real application built from it.
D23 Boundary Type-Coupling — At only 956 LoC the codebase is tiny and single-purpose despite six projects, so explicit boundaries are not needed.
D24 Comment Value — LLM evaluation failed
D25 ADR Conformance — no ADRs to check
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 — This is a dotnet-new template — it produces no released artifact to attest. Supply-chain provenance, signing and SBOM are deferred to the application you build from it (add SLSA provenance / cosign signing / an SBOM in your app's release pipeline).
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.
D42 Runtime Threat Enforcement — The repository ships application workloads but no cluster-governance resources (CRDs, admission webhooks, or a committed policy engine). Runtime threat-detection (Falco/Tetragon) and admission control (Kyverno/OPA-Gatekeeper/PodSecurity) are cluster-OPERATOR controls owned by the platform, not shipped by an application repo/chart — nothing for this repo to assess.
D7 Architectural Integrity — no checkable ADRs and no dependency cycles — architectural integrity not assessed
D8 Code Coverage — No tests — template/sample
DM1 Domain Modelling — not scored — this repository shows only 1 of the 3 signals this check looks for (a Domain/Aggregates/ValueObjects layer)
ED1 Event-Driven — not scored — this repository shows only 1 of the 3 signals this check looks for (a message-bus package)
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
P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
P3 Security & performance tooling — This repo declares itself a template / kata / sample / demo — code meant to be read or copied, not operated. SAST, secret/dependency scanning and performance benchmarks are deferred to the application you build from it, so their absence is not a defect here. The dimension reactivates once the repo becomes a real app.
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
P6 Release Hygiene — not evidenced — no changelog, version stamp or semver release tag in the repo
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 is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
PF2 Allocation hygiene — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
PF3 Async & latency hygiene — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
SC1 Supply-chain hygiene — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X2 Cancellation propagation — no async methods found
X6 Hand-rolled structured-format parsing — Reported, not scored — this card publishes what it found rather than grading it. Its content is the findings and the key metric above.
X7 Silent fallback defaults — Reported, not scored — this card publishes what it found rather than grading it. Its content is the findings and the key metric above.
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.
High CVE: AutoMapper 10.1.1 — AutoMapper 10.1.1 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: System.Linq.Dynamic.Core 1.2.9 — System.Linq.Dynamic.Core 1.2.9 (transitive) has a High advisory; affects 6 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: System.Formats.Asn1 5.0.0 — System.Formats.Asn1 5.0.0 (transitive) has a High advisory. https://github.com/advisories/[GHSA redacted]
High CVE: System.Net.Http 4.3.0 — System.Net.Http 4.3.0 (transitive) has a High advisory. https://github.com/advisories/[GHSA redacted]
High CVE: System.Text.RegularExpressions 4.3.0 — System.Text.RegularExpressions 4.3.0 (transitive) has a High advisory. https://github.com/advisories/[GHSA redacted]
High: github-actions-mutable-action-tag .github/workflows/dotnet.yml:14— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v2`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v2 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/dotnet.yml:16— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-dotnet@<40-character SHA>`. This step references `actions/setup-dotnet@v1`; resolve the SHA it points at today with `gh api repos/actions/setup-dotnet/commits/v1 --jq .sha`.
NoWarnInCsproj Ingos.Abp.Templates.csproj:17— NU5128 — this warning is switched off for the WHOLE project, in every file it builds, including code written years from now: nothing at the call site records that the rule was ever silenced, so the next reader has no reason to look here. Fix what the rule is reporting and drop the code from the list, or — if some occurrences really are legitimate — narrow the suppression to those sites and give each one its reason, so the rule keeps protecting the rest of the project.
High IaC: DS-0002 templates/Dockerfile— Image user should not be 'root' A container that starts as root runs your process with root's capabilities inside the namespace, so a compromise of the process starts from there. The step: create an unprivileged account in the image (`RUN useradd -r -M app` — or whatever this base image's account tooling is, `adduser` and `useradd` are not both present everywhere`), give it ownership of the paths the process writes at runtime (`COPY --chown=` on those layers, or a `RUN chown -R`), and end the final stage with `USER app` so it is the default at start. Build stages that only compile can stay root; it is the stage that RUNS that needs the account. If the process genuinely requires root — it manages the container runtime, ptraces another process or opens raw devices — say so here rather than making a change that breaks it.
Medium CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a Medium advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a Medium advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a Medium advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: Scriban 3.6.0 — Scriban 3.6.0 (transitive) has a Medium advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: System.IdentityModel.Tokens.Jwt 6.14.0 — System.IdentityModel.Tokens.Jwt 6.14.0 (direct) has a Medium advisory. https://github.com/advisories/[GHSA redacted]
Medium CVE: Microsoft.IdentityModel.JsonWebTokens 6.14.0 — Microsoft.IdentityModel.JsonWebTokens 6.14.0 (transitive) has a Medium advisory. https://github.com/advisories/[GHSA redacted]
Medium CVE: Swashbuckle.AspNetCore.SwaggerUI 6.1.3 — Swashbuckle.AspNetCore.SwaggerUI 6.1.3 (transitive) has a Medium advisory. https://github.com/advisories/[GHSA redacted]
Medium CVE: System.Security.Cryptography.Xml 5.0.0 — System.Security.Cryptography.Xml 5.0.0 (transitive) has a Medium advisory. https://github.com/advisories/[GHSA redacted]
Off the main sequence: IngosAbpTemplate.Domain.Shared — IngosAbpTemplate.Domain.Shared: abstractness 0.00, instability 0.00, distance 1.00 — the shape a shared-kernel / building-block library has BY DESIGN — concrete and widely depended-on is what makes it useful, and this dimension does not penalise it (the distance is reported for completeness, not as a defect). Worth a look only if it has grown past one coherent kernel into an everything-bucket.
Off the main sequence: IngosAbpTemplate.Domain — IngosAbpTemplate.Domain: abstractness 0.00, instability 0.25, distance 0.75 — zone of pain — concrete and depended on by 3 project(s), so it's rigid to change.
Dead code: L templates/src/IngosAbpTemplate.Application.Contracts/Permissions/IngosAbpTemplatePermissionDefinitionProvider.cs:17— Method L — no references found in solution.
LLM evaluation failed — JSON parse error: Expected end of string, but instead reached end of data. Path: $.notable[5] | LineNumber: 0 | BytePositionInLine: 981.
Recommendation — 9 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.
Thin analysable surface across projects — 2 project(s) carry only a thin slice of real code (e.g. `IngosAbpTemplate.Domain` with 27 significant line(s)). The mean analysable-surface weight is 86 %, lowering Solution Shape by about 1.13 point(s). Consolidate thin projects or grow them into substantial, well-scoped assemblies.
Low IaC: DS-0026 templates/Dockerfile— No HEALTHCHECK defined Without one the runtime only knows whether the process is alive, not whether it is serving, so a wedged container is restarted by nobody. The step: add a `HEALTHCHECK` to the image that probes the service the way a client would — this image already declares `EXPOSE 80`, so a request to `localhost:80` on the service's own health or root route, exiting non-zero when it does not answer, is the probe — and give it an `--interval`, a `--timeout` and a `--start-period` long enough to cover startup. If the image ships no HTTP client, probe with whatever the runtime already has, or declare the check in the orchestrator instead and say so here.
early-stage repository — too little history to judge knowledge freshness — early-stage repository — too little history to judge knowledge freshness (42 commit(s) sampled).
D40 · Network Egress Confinement· No network policy · ×1
No network policy — No Kubernetes NetworkPolicy (or Cilium policy) found. Without one, every pod can talk to every other pod and reach out to the internet by default. Add a default-deny policy and open only the flows you need.
No seccomp profile — Workloads do not set a seccomp profile (RuntimeDefault or a Localhost profile). Seccomp blocks the syscalls a container never needs, shrinking the kernel attack surface a container escape would use.
No AppArmor/SELinux confinement — Workloads declare no AppArmor or SELinux profile. A mandatory-access-control profile confines what a compromised container can touch on the host, complementing seccomp's syscall filter.
No tests — template/sample — This repo declares itself a template / kata / sample; tests are deferred to the application built from it, so coverage is not scored here.
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.
Appendix B — Reproduction & audit trail
Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.
semgrep: not applicable — 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 — This is a dotnet-new template — it produces no released artifact to attest. Supply-chain provenance, signing and SBOM are deferred to the application you build from it (add SLSA provenance / cosign signing / an SBOM in your app's release pipeline).
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 — The repository ships application workloads but no cluster-governance resources (CRDs, admission webhooks, or a committed policy engine). Runtime threat-detection (Falco/Tetragon) and admission control (Kyverno/OPA-Gatekeeper/PodSecurity) are cluster-OPERATOR controls owned by the platform, not shipped by an application repo/chart — nothing for this repo to assess.
0
—
Run 019fc7c8-7b16-78bd-be01-9b2e05d39f02 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 43 · Warnings: 13 · Recommendations: 9 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 03-08-2026 @ 13:20 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.