Public report — Akkatecture, published 29 Jul 2026. Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version; ask the repo owner for the full report.
Watchdog 29-07-2026 @ 19:08 UTC Public
Code Health Audit

ThembisileNGQ/Akkatecture

52% Weak
CriticalWeakAdequateStrongExemplary
lower third — near Weak

Small · 12,438 LoC · 16 projects · rebuild ~0.1 person-years · weakest lens: Readiness (43%)

Grounded in facts. Every number here is computed, not narrated — reproducible, tool-backed, and traceable to a line of code. How to trust this ▸

52/55dimensions tool-verifieddeterministic · confidence 1.0 · 3 LLM-assisted, advisory
0findings with an exact file:lineof 45 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
55/108dimensions across the health lenses12438 LoC · 16 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.

ThembisileNGQ/Akkatecture carries serious gaps (52%). 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 Architecture (97%) — the structure is clean and changes stay contained. Security (87%) is solid too.

The area that most needs attention is Readiness (43%) — 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. Performance (54%) is the next concern — it raises ongoing delivery and operational cost.

Leadership focus, highest impact first: Make types internal by default (Library API & versioning); 6 Vulnerable finding(s) in Dependency Hygiene (Dependency Hygiene); 5 Deprecated finding(s) in Dependency Hygiene (Dependency Hygiene).

For scale: Small (~12,438 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.

It builds on a genuinely strong Architecture foundation (97%); the priorities above are the highest-leverage way to bring the rest up to that level.

How the score is built — each lens's share of the headline Width 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.
Readiness 43% · 45% weightPerformance 54% · 25% weightMaturity 57% · 14% weightDomain Modelling 60% · 8% weightCode Health 69% · 4% weightEvent-Driven 83% · 2% weightSecurity 87% · 1% weightArchitecture 97% · 1% weight

Raise Readiness 43 → 70 (the Healthy floor) ⇒ headline 52 → ~58.

Code composition — where the lines go
Business logic 9%Plumbing 56%Tests 36%
Rebuild cost & value ~ Modeled — €6,800–€33,000
Cost to rebuild€6,800–€33,000 (0.1–0.2 person-years (113–351 h), ~1 engineer)
Domain complexityHigh — harder problems cost more per line
Quality factor0.7× (at 52% quality) — the last 20% of quality is most of the work
Size & shapeSmall · 70% boilerplate · 16% straight-line · 14% branching logic

This codebase represents roughly ~0.1 person-years of build effort (about ~€20,000 to rebuild). Its weakest lens is Readiness at 43% — the part of that asset most exposed by the findings below.

How we model this: boilerplate at a scaffolding rate + logic × domain High (×1.5) — library/CLI, CQRS, domain model, event-driven integration × 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 6 Vulnerable finding(s) in Dependency Hygiene.
+7.3 pts · Low effort · Dependency Hygiene
2
Resolve the 5 Deprecated finding(s) in Dependency Hygiene.
+7.2 pts · Low effort · Dependency Hygiene
3
Make types internal by default; expose only the deliberate public API so internals can change without breaking consumers.
+7.4 pts · Medium effort · Library API & versioning

Diagnosis — what's actually going on

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 43%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
Evidence: valuation: Small, ~0.1 person-years rebuild (12,438 LoC) · weakest lens: Readiness 43%
→ Direct remediation budget at Readiness first — highest risk-reduction per euro on an asset this size.
Root cause: an un-encapsulated domain · Medium · Root cause
5 findings across public setters, anemic types and primitive ids share one root cause — the domain layer doesn't protect its own invariants. Fixing the encapsulation pattern resolves them together, rather than chasing each finding.
Evidence: DM5 setters: 0 · DM4 anemic: 3 · DM2 primitive ids: 2
→ Address encapsulation as one pattern (private setters + behaviour + strongly-typed ids), not 100 separate findings.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Make types internal by default; expose only the deliberate public API so internals can change without breaking consumers. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Make types internal by default; expose only the deliberate public API so internals can change without breaking consumers.

Architecture — module dependency graph

Project dependencies, layered top-to-bottom; arrows show direction. Any dashed red edge points upward or sideways — a layering smell or cycle. A clean layered graph has none.

arch Akkatecture Akkatecture Akkatecture.Clustering Clustering Akkatecture.Clustering->Akkatecture Akkatecture.TestFixture TestFixture Akkatecture.TestFixture->Akkatecture

At a glance — Code Health · 69% · Strong

At a glance — Architecture · 97% · Exemplary

At a glance — Maturity · 57% · Adequate · gated by D34, M2

At a glance — Readiness · 43% · Adequate · gated by D12, P10

At a glance — Security · 87% · Exemplary

At a glance — Domain Modelling · 60% · Adequate · gated by DM2, DM4

At a glance — Event-Driven · 83% · Exemplary

At a glance — Performance · 54% · Adequate

Roadmap

First, restrict the library's public API by making types internal by default to ensure internal changes do not break consumers. Next, address security and maintenance risks by resolving all six vulnerable and five deprecated dependencies. Then, enforce quality gates by running the test suite in CI and blocking merges on failures. Finally, eliminate synchronous blocking calls in the library by ensuring the entire call chain is fully asynchronous.

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

Do thisHelpsEffortDimension
Resolve the 6 Vulnerable finding(s) in Dependency Hygiene.+7.3 ptsLowDependency Hygiene
Resolve the 5 Deprecated finding(s) in Dependency Hygiene.+7.2 ptsLowDependency Hygiene
Make types internal by default; expose only the deliberate public API so internals can change without breaking consumers.+7.4 ptsMediumLibrary API & versioning
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.+5.6 ptsMediumCI/CD gates
Make the call chain async end-to-end and await it — never block on a Task with .Wait()/.GetAwaiter().GetResult() in library code.+2.7 ptsMediumAsync & latency hygiene
Add a benchmarking harness for the hot paths and run it in CI to catch regressions (for .NET, a BenchmarkDotNet project with [MemoryDiagnoser] to track allocations).+2.7 ptsMediumBenchmark discipline
On hot paths, prefer Span<T>/ReadOnlySpan<T>, ArrayPool<T>, stackalloc and ValueTask to cut allocations a consumer would otherwise inherit.+2.7 ptsMediumAllocation hygiene
Improve Knowledge Freshness — currently 0.0/10.+2.0 ptsMediumKnowledge Freshness

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. 52 of 55 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 0.5 — 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 — 55 dimensions across the health lenses
D1D2D3D4D5D6D9D10D12D13D15D17D18D21D24D26D27D28D29D34D35AX1AX10AX2AX3AX5AX6AX8DM1DM2DM4DM5DM6DM8ED1ED3ED4GD1IC1M1M2M3M4P1P10P3P6PF1PF2PF3S1X1X2X3X4

Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.

How to trust any code-health report — three questions
  1. Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 0 of 45 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
  2. Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
  3. Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.

This report answers yes to all three. That's the bar to hold any assessment to.

Tools & methods

The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.

MethodBacksVersionEvaluator
Roslyn static analysisComplexity, cohesion, coupling, dead code, API surface, layering5.3.0✓ deterministic
Native secret scannerHardcoded secrets / credentials1.0.0✓ deterministic
jscpdCode duplication✓ deterministic
Coverage (coverlet / dotnet-coverage)Line & branch coverage10.0.302✓ deterministic
NuGet / dotnetOutdated, vulnerable & deprecated dependencies10.0.302✓ deterministic
git / LibGit2SharpChurn hotspots, knowledge concentration, history2.43.0 · 0.31.0✓ deterministic
gitleaks · semgrep · trivy · checkovSecrets in history, SAST, CVEs, IaC & container, PII / GDPR1.86.0 · 0.69.3✓ deterministic
LLM (sampled · advisory)Documentation quality, ADR conformance, naming — sampled over a bounded sample; advisory, never a deterministic measurementLocal LLM◐ LLM · sampled · advisory

Every finding is locatable in findings.md. Run 019faf47-900d-753e-a5f2-c17c02da52ce.

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

Run transparency — what happened this run

What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.

  • D19 Documentation Quality — 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.
  • D10 Test Quality: Assertion density is structural — it cannot tell a meaningful behavioural assertion from a trivial one, only that an assertion is present.
  • 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.
  • 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.
  • D24 Comment Value: Comment value (WHY vs WHAT) is an LLM judgement over a bounded sample — it is advisory and cannot weigh a comment against the precise code change it was written to explain.
  • 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").
  • D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
  • D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
  • 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.
  • DM4 Rich vs anemic model: Behaviour is detected as state mutation inside a method body — a method that enforces an invariant by validating-and-throwing without mutating reads as a query, and mutation delegated through an interface the scan can't resolve isn't credited; entities with zero public properties still drop out of the population. It detects that state changes, not whether the rule is correct.
  • DM6 Domain ↔ infrastructure boundary: Infrastructure reached through a hand-rolled wrapper, a domain-named facade, reflection, or a string-keyed service locator resolves to a non-infra type and isn't seen; the body scan is symbol resolution over syntax, not full dataflow. A clean result means "no resolved infra reference in a domain body", not a proof of purity.
  • 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): D21, D24, 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.

Dimensions

D1 · Cyclomatic Complexity10.0 / 10Exemplary✓ Tool-verified

What it measures: How tangled the control flow is — methods with many branches are hard to test and change.

Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

0 method(s) exceeded the cyclomatic complexity threshold of 15.

✓ On the Gold path — maintain.

Detailed fixes: d1_recommendation.md.

D2 · Cognitive Complexity10.0 / 10Exemplary✓ Tool-verified

What it measures: How hard the code is for a person to follow, beyond raw branching.

Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

0 method(s) exceeded the cognitive complexity threshold of 15.

✓ On the Gold path — maintain.

Detailed fixes: d2_recommendation.md.

D3 · God Classes9.7 / 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.

Maturity: DocumentedVerifiedPrevented · effective 9.7 / 10 · rule-coverage 100% · ceiling Prevented

1 god class(es) detected.

✓ On the Gold path — maintain.

Detailed fixes: d3_recommendation.md.

D4 · Code Duplication9.6 / 10Exemplary✓ Tool-verified

What it measures: Copy-pasted code that should be shared instead.

Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 9.6 / 10 · rule-coverage 100% · ceiling Verified

11 duplicated block group(s) detected.

✓ On the Gold path — maintain.

Detailed fixes: d4_recommendation.md.

D5 · Coupling10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether volatile projects sit underneath others that depend on them (so their churn ripples upward), and whether project dependencies form cycles. A widely-depended-on but stable shared/kernel project is healthy, not penalised.

Method: Dependency cycles via elementary-DFS over real .csproj references, plus Martin instability (afferent/efferent) per project. Exhaustive over the reference graph, deterministic.

Coverage: Exhaustive · type-level: afferent/efferent coupling + cycles computed over every production type — the population is all types, not a name convention.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

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

✓ On the Gold path — maintain.

Detailed fixes: d5_recommendation.md.

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

What it measures: Whether a class's methods are focused on a single responsibility.

Method: LCOM4 cohesion per production class with at least two methods: connected components of methods sharing state or calls, computed syntactically. Deterministic, not a proxy.

Coverage: Exhaustive · type-level: LCOM4 cohesion computed over every production class — the population is all types, not a name convention.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

0 of 15 classes have LCOM4 above 3.

✓ On the Gold path — maintain.

Detailed fixes: d6_recommendation.md.

D9 · Test Distribution10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.

Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

128 test methods: 128 unit, 0 integration, 0 BDD, 0 e2e.

✓ On the Gold path — maintain.

Detailed fixes: d9_recommendation.md.

D10 · Test Quality9.5 / 10Exemplary✓ Tool-verified

What it measures: Whether the tests truly assert behaviour rather than just running the code.

Method: Per-test assertions, skips, and mock references analyzed via Roslyn; structured skip-reason tags (BUG:/ENV:) separate documented deferrals from debt. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 9.5 / 10 · rule-coverage 100% · ceiling Prevented

0 skipped, 3 zero-assertion, no mocking-framework packages referenced (hand-written doubles or no mocking) across 129 tests.

✓ On the Gold path — maintain.

Detailed fixes: d10_recommendation.md.

D12 · Dependency Hygiene0.4 / 10Critical✓ Tool-verified

What it measures: Whether dependencies are current, secure, and not bloated.

Method: Manifest scan via dotnet list package across all projects; worst-signal-per-package deduction (saturating for vulnerabilities, capped-linear for deprecation/outdated) per KLoC. Exhaustive, deterministic.

Maturity: DocumentedVerifiedPrevented · effective 0.4 / 10 · rule-coverage 100% · ceiling Verified

22 outdated, 6 vulnerable, 5 deprecated packages.

Vulnerable: Akka · ×6
Deprecated: Microsoft.Extensions.DependencyInjection.Abstractions · ×5
Outdated: Akka · ×22

What to do

  1. Resolve the 6 Vulnerable finding(s) in Dependency Hygiene. — One of this dimension's main actionable groups (6 issue-level).
  2. Resolve the 5 Deprecated finding(s) in Dependency Hygiene. — One of this dimension's main actionable groups (5 warning-level).
  3. Enforce Dependency Hygiene in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.

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

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

What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.

Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

D15 · Churn × Complexity Hotspots10.0 / 10Exemplary✓ Tool-verified

What it measures: Files that change often and are also complex — the riskiest hotspots.

Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No churn × complexity hotspots in the window.

✓ On the Gold path — maintain.

Detailed fixes: d15_recommendation.md.

D17 · Explicit Debt9.3 / 10Exemplary✓ 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.

Maturity: DocumentedVerifiedPrevented · effective 9.3 / 10 · rule-coverage 100% · ceiling Prevented

11 deducted debt markers + 1 dead symbols across 12438 LoC (0.3/KLoC) → score 9.3.

✓ On the Gold path — maintain.

Detailed fixes: d17_recommendation.md.

D18 · Solution Shape9.3 / 10Exemplary✓ 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.

Maturity: DocumentedVerifiedPrevented · effective 9.3 / 10 · rule-coverage 100% · ceiling Documented

16 projects, 318 source files, 19225 hand-written lines of code (12438 production / 6787 test), 30 inter-project edges (build failed).

Thin analysable surface across projects
Build did not complete in the analyzer

✓ On the Gold path — maintain.

Detailed fixes: d18_recommendation.md · top locations in Appendix A, every location in findings.md.

D21 · Naming Consistency / 10Strong◐ Sampled · advisory

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

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

Maturity: DocumentedVerifiedPrevented · effective Strong / 10 · rule-coverage 100% · ceiling Verified

3 naming inconsistencies across 200 sampled symbols.

The term 'Upcaster' is used in the class name for the implementation, but 'Upcaster' is also used in the test class name. However, looking at the namespace `Akkatecture.TestHelpers.Aggregates.Events.Upcasters` vs `Akkatecture.Tests.UnitTests.Mapping`, the concept of 'Upcasting' is present. A more direct inconsistency is found in the spelling of 'Committed' vs 'Comitted'.
The class name 'ComittedEventTests' contains a typo ('Comitted' instead of 'Committed'). This is a clear spelling inconsistency compared to the correct usage of 'Committed' elsewhere in the codebase (e.g., `CommittedEvent`, `ICommittedEvent`).
The namespace `Akkatecture.Configuration.DependancyInjection` uses the misspelling 'Dependancy' instead of 'Dependency'. This is a spelling inconsistency compared to standard English and likely other correct usages in the codebase.

What to do

  1. Resolve the 1 The term 'Upcaster' is used in the class name for the implementation,… finding(s) in Naming Consistency. — One of this dimension's main actionable groups (1 recommendation-level).
  2. Resolve the 1 The class name 'ComittedEventTests' contains a typo ('Comitted' instead… finding(s) in Naming Consistency. — One of this dimension's main actionable groups (1 recommendation-level).
  3. Resolve the 1 The namespace `Akkatecture.Configuration.DependancyInjection` uses the… finding(s) in Naming Consistency. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d21_recommendation.md · top locations in Appendix A, every location in findings.md.

D24 · Comment Value / 10Critical◐ Sampled · advisory

What it measures: Whether comments are worth it — explaining WHY (valuable) rather than WHAT (redundant).

Method: Judged by language model at low temperature (0.0-0.1) on deterministically sampled inline comments with surrounding code; findings verified back to sampled comments by substring match. Advisory, sampled.

Maturity: DocumentedVerifiedPrevented · effective Critical / 10 · rule-coverage 100% · ceiling Documented

0 valuable / 4 redundant across 200 sampled comments; 4 shown with locations.

What to do

  1. Improve Comment Value — currently 2.0/10. — 0 valuable / 4 redundant across 200 sampled comments; 4 shown with locations.

Detailed fixes: d24_recommendation.md.

D26 · Project Cohesion8.8 / 10Strong✓ Tool-verified

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

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

Maturity: DocumentedVerifiedPrevented · effective 8.8 / 10 · rule-coverage 100% · ceiling Documented

1 of 16 projects flagged as possibly oversized/incoherent.

Split Akkatecture

What to do

  1. Resolve the 1 Split Akkatecture finding(s) in Project Cohesion. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d26_recommendation.md · top locations in Appendix A, every location in findings.md.

D27 · Navigability7.5 / 10Strong✓ Tool-verified

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

Method: Call indirection (interface hops, cross-namespace calls, slice-locality scaled) over a sampled set of method invocations, size-aware baseline. Sampled; confidence discounted by symbol-resolution gaps.

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

Maturity: DocumentedVerifiedPrevented · effective 7.5 / 10 · rule-coverage 100% · ceiling Documented

94 % of calls cross a namespace and 10 % go through an interface, but 84 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: medium — clean/modular boundaries expected.

What to do

  1. Improve Navigability — currently 7.5/10. — 94 % of calls cross a namespace and 10 % go through an interface, but 84 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: medium — clean/modular boundaries expected.

Detailed fixes: d27_recommendation.md.

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

What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.

Method: Git-history secret scan via gitleaks detect over full history in an isolated checkout; each match flagged High. Exhaustive; degrades cleanly when tool absent.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

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

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

D29 · Static Analysis (SAST)9.5 / 10Exemplary✓ Tool-verified

What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.

Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.

Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).

Maturity: DocumentedVerifiedPrevented · effective 9.5 / 10 · rule-coverage 100% · ceiling Documented

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

✓ On the Gold path — maintain.

Detailed fixes: d29_recommendation.md.

D34 · Knowledge Freshness0.0 / 10Critical✓ Tool-verified

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

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

Maturity: DocumentedVerifiedPrevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

45 of 45 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs.

What to do

  1. Improve Knowledge Freshness — currently 0.0/10. — 45 of 45 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs.

Detailed fixes: d34_recommendation.md.

D35 · Change Coupling9.9 / 10Exemplary✓ Tool-verified

What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.

Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.

Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling; coupling through a build step, config, or non-source file isn't seen.

Maturity: DocumentedVerifiedPrevented · effective 9.9 / 10 · rule-coverage 100% · ceiling Documented

Strongest change-coupling: ClusterFactory.cs↔TypeExtensions.cs 50%

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

Frontend & cross-cutting dimensions

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

AX1 · Captive dependencies10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether any singleton service captures a scoped/transient dependency — a silent lifetime/threading bug.

Method: Roslyn scan: DI registrations parsed from AddSingleton/Scoped/Transient; each singleton checked for captured shorter-lifetime dependencies. Exhaustive, deterministic.

AX10 · Code composition9.6 / 10Exemplary✓ Tool-verified

Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified.

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.

AX2 · Stateful singletons10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether singleton services avoid mutable shared instance state that concurrent callers would race on.

Method: Roslyn scan: singleton field mutations unguarded by lock or Interlocked, per type; syntax-based guard detection. Deterministic, traceable per field.

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

Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).

Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.

AX5 · Architecture & structure10.0 / 10Exemplary✓ Tool-verified

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.

AX6 · Interface segregation10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether interfaces stay focused rather than fat — the Interface-Segregation principle (SOLID 'I').

Method: Roslyn scan: public interface member counts; fat-interface threshold (over 15 members) flagged per type. Deterministic, type-level.

AX8 · Test isolation10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether production projects stay free of references to test projects — tests may depend on production, never the reverse.

Method: Csproj graph: each production project checked for references to test projects (identified by test-framework presence, not name). Zero violations is clean. Deterministic.

DM1 · Aggregate boundaries10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether aggregates reference each other by identity (id) rather than by direct object reference — the core DDD consistency-boundary rule.

Method: Roslyn (DDD-gated): aggregate roots identified by convention; each aggregate field checked for direct references to other aggregates versus id-only. Deterministic, DDD-native.

Coverage: Population: aggregate roots identified by AggregateRoot/IAggregateRoot base/interface NAME convention; reference-by-identity then checked exhaustively within that set — a root not using those names is invisible.

DM2 · Strongly-typed ids3.0 / 10Weak✓ Tool-verified

Other · Domain Modelling — How much of the domain uses strongly-typed ids vs raw Guid/string/int — adoption curve, not all-or-nothing.

Method: Roslyn (DDD-gated): strongly-typed id adoption on domain entities/events; raw Guid/int/string ids counted versus wrapped types. Deterministic, adoption percentage.

Coverage: Population: id-like members by *Id/*Key NAME suffix; strongly-typed-ID shape then checked semantically — non-suffixed identifiers are not seen.

  • `AggregateRoot.PersistenceId` is a raw `String` — give it a strongly-typed id: a dedicated single-field type wrapping the `String`, in whatever form your language spells that. — AggregateRoot.cs:61
  • `AggregateSaga.PersistenceId` is a raw `String` — give it a strongly-typed id: a dedicated single-field type wrapping the `String`, in whatever form your language spells that. — AggregateSaga.cs:66

What to do

  • Adopt strongly-typed ids across the domain — finish the migration or document the boundary; primitive ids invite transposed-argument bugs.
DM4 · Rich vs anemic model3.0 / 10Weak✓ Tool-verified

Other · Domain Modelling — Whether aggregates/entities carry the behaviour that protects their invariants, rather than being data bags driven by external services.

Method: Roslyn (DDD-gated): entity method BODIES classified mutator-vs-query — only methods that mutate the entity's own declared state count as invariant-protecting behaviour, so a getter/passthrough doesn't rescue an anemic class. Deterministic, exhaustive over domain-layer entities.

Coverage: Population: entities by name/base convention; rich-vs-anemic judged by classifying each method body mutator-vs-query — logic-bearing domain types outside the convention are invisible.

  • `AggregateRoot` is an aggregate/entity with 7 data propert(ies) but no state-changing behaviour (only data and queries) — the business logic lives in a service. — AggregateRoot.cs:45
  • `IAggregateRoot` is an aggregate/entity with 1 data propert(ies) but no state-changing behaviour (only data and queries) — the business logic lives in a service. — IAggregateRoot.cs:41
  • `AggregateSaga` is an aggregate/entity with 8 data propert(ies) but no state-changing behaviour (only data and queries) — the business logic lives in a service. — AggregateSaga.cs:48

What to do

  • Move business rules onto the aggregates/entities they govern so invariants are enforced at the source, not in anemic services.
DM5 · Encapsulated state10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether entities protect their state (private/init-only setters) instead of exposing public setters that bypass invariants. Softened when a rehydration framework (Marten/EF) is present.

Method: Roslyn (DDD-gated): public setters on entities detected; score softened when Marten/EF rehydration frameworks present. Deterministic, framework-aware.

Coverage: Population: entities by convention; encapsulation (setter shape) checked exhaustively within the set.

DM6 · Domain ↔ infrastructure boundary10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether the domain layer stays free of infrastructure dependencies (EF/Marten/HTTP/ASP.NET) — the clean-architecture dependency rule.

Method: Roslyn (DDD-gated): domain-layer types scanned for infrastructure usage in member SIGNATURES and inside method/accessor BODIES — resolved calls and object-creations into EF/Marten/HTTP/Mongo/Redis/message-bus types (not just a namespace allowlist). Deterministic, symbol-resolved, exhaustive over domain-layer bodies, DDD-native.

Coverage: Domain layer identified by NAMESPACE heuristic; infrastructure then resolved by symbol in member SIGNATURES and method/accessor BODIES — rename the layer and the check evaporates.

DM8 · Value-object opportunities10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether clusters of primitives that travel together (a missing value object) are extracted — a low-weight suggestion, LLM-confirmed when configured.

Method: Roslyn (DDD-gated): primitive parameter clusters recurring three or more times across signatures extracted, then confirmed by language model when configured. Advisory, low-weight.

ED1 · Handler temporal coupling10.0 / 10Exemplary✓ Tool-verified

Other · Event-Driven — Whether event handlers stay asynchronous (no blocking remote HTTP/gRPC calls awaited inside a handler).

Method: Roslyn semantic scan (event-driven gated): event-handler bodies scanned for HTTP/gRPC invocations by resolved symbol type, not substring. Deterministic, semantic-resolved.

ED3 · Event naming7.0 / 10Strong✓ Tool-verified

Other · Event-Driven — Whether events are named in the past tense (a clarity nudge — low weight).

Method: Roslyn scan (event-driven gated): domain and integration events checked for past-tense naming (-ed/-en suffix or irregular set). Naming nudge, low-weight advisory.

  • `DomainEvent` reads as an instruction, not a fact that happened. Events describe something that already occurred — name them in the past tense (e.g. `OrderPlaced`, `PaymentCaptured`) so the ubiquitous language stays clear. — DomainEvent.cs:34
  • `IDomainEvent` reads as an instruction, not a fact that happened. Events describe something that already occurred — name them in the past tense (e.g. `OrderPlaced`, `PaymentCaptured`) so the ubiquitous language stays clear. (×2) — IDomainEvent.cs:46, IDomainEvent.cs:53

What to do

  • Name events in the past tense — they record facts that already happened.
ED4 · Outbox / dual-write7.1 / 10Strong✓ Tool-verified

Other · Event-Driven — Whether state changes and message publishes are atomic (a transactional outbox) rather than a crash-unsafe dual write.

Method: Roslyn semantic scan (event-driven gated): event-handler methods scanned for DB-save plus bus-publish without a transactional outbox reference. Deterministic, semantic-resolved.

  • `JobScheduler.Emit` writes to the database while `JobScheduler.Execute` publishes to the message bus in the same command-handling flow, with no outbox referenced on either path. Splitting the persist and the publish across sibling methods (or two collaborating actors) doesn't make them atomic — a crash between the two either loses the message or emits a phantom event. Use the transactional outbox pattern so the message is committed in the same transaction as the state change and dispatched afterwards. — JobScheduler.cs:239

What to do

  • Adopt the transactional outbox pattern so DB writes and message publishes commit atomically — no lost or phantom events on a crash.
GD1 · Unfinished & placeholder code9.9 / 10Exemplary✓ Tool-verified

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.

  • A shipped member still throws NotImplementedException — generated scaffolding that was never completed. Implement it or remove the dead surface. (×4) — AggregateRoot.cs:372, AggregateRoot.cs:386, AggregateSaga.cs:529, …

What to do

  • Finish or delete NotImplementedException stubs and replace placeholder literals before shipping.
IC1 · Incompleteness & stubs8.9 / 10Exemplary✓ Tool-verified

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.

Method: Roslyn syntax scan: incompleteness by code shape (constant-returning methods, async-never-await, #if false branches, skeleton types), not keyword-gated. Deterministic, code-shape heuristic.

  • `Manifest` looks like it should compute a result but its body just returns a constant — a placeholder return that was never filled in. — AggregateEventTagger.cs:31

What to do

  • Finish or delete the unfinished stubs (NotImplementedException / empty / constant-returning bodies) — they are dead surface that looks live.
M1 · Documentation (README)7.3 / 10Exemplary✓ Tool-verified

Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.

Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.

What to do

  • Add a 'Testing' section to the root README — how to run the test suite.
  • Add a README to the 16 of 16 project(s) that lack one — worth up to 2 pts.
M2 · Architecture documentation2.0 / 10Weak✓ Tool-verified

Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.

Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.

  • No Architecture Decision Records found — decisions aren't captured for future maintainers.

What to do

  • Start an ADR log (docs/adr/) recording significant decisions and their rationale.
M3 · Folder & project structure10.0 / 10Exemplary✓ Tool-verified

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

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

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

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

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

P1 · CI/CD 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 — the gate may be running tests, or "test" may be incidental (a path, "latest", a reporter). Make the test 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.
P10 · Library API & versioning2.0 / 10Weak✓ Tool-verified

Readiness · Readiness — For a library: a deliberate (small) public API surface and explicit semantic versioning so consumers can depend on it safely.

Method: Roslyn scan: public API surface area and semantic-versioning markers (SemVer attributes, changelog entries) for libraries. Exhaustive, deterministic.

  • 266/267 types (100%) are public. For a library, every public type is a stability contract — make internal-by-default and expose only the intended API.
  • No <Version>/<VersionPrefix>/GitVersion/MinVer detected. A published library needs explicit semantic versioning so consumers can reason about breaking changes.

What to do

  • Make types internal by default; expose only the deliberate public API so internals can change without breaking consumers.
  • Stamp a semantic version (csproj <Version> or GitVersion/MinVer) and follow semver for breaking changes.
P3 · Security & performance tooling4.0 / 10Adequate✓ Tool-verified

Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).

Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.

What to do

  • Enable Dependabot/Renovate or a dependency-review gate.
  • Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
P6 · Release Hygiene10.0 / 10Exemplary✓ Tool-verified

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

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

PF1 · Benchmark discipline6.0 / 10Strong✓ Tool-verified

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

Method: Repo + source scan: BenchmarkDotNet referenced (csproj/source), [Benchmark]/[MemoryDiagnoser] attribute counts, and a benchmark step in CI — scored as a bonus ladder (absence is neutral, never a deduction). Deterministic, presence detection.

  • No benchmark suite was found. For a performance-sensitive library, a benchmark guards against silent regressions — but it's a bonus here, not a deduction.

What to do

  • Add a benchmarking harness for the hot paths and run it in CI to catch regressions (for .NET, a BenchmarkDotNet project with [MemoryDiagnoser] to track allocations).
PF2 · Allocation hygiene6.0 / 10Strong✓ Tool-verified

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

Method: Production-source scan: density (per 1k LoC) of allocation-aware APIs — Span/Memory, ArrayPool/ObjectPool, stackalloc, ValueTask, value-type structs, IBufferWriter, string.Create, SkipLocalsInit. Reward-only. Deterministic, syntax/text detection.

  • No Span/Memory, pooling (ArrayPool/ObjectPool), stackalloc, ValueTask or buffer-writer usage was found. If this library sits on a hot path, these reduce the GC pressure it puts on its host — a bonus, not a requirement.

What to do

  • On hot paths, prefer Span<T>/ReadOnlySpan<T>, ArrayPool<T>, stackalloc and ValueTask to cut allocations a consumer would otherwise inherit.
PF3 · Async & latency hygiene4.5 / 10Adequate✓ Tool-verified

Readiness · Performance — Whether asynchronous code keeps its host responsive — a library awaits with ConfigureAwait(false) (so it never captures and stalls the host's context) and avoids sync-over-async blocking (.Wait()/.GetAwaiter().GetResult()) that wastes threads and risks deadlock.

Method: Production-source scan: sync-over-async blocking (.Wait()/.GetAwaiter().GetResult()) counted everywhere, and — for a library with ≥5 awaits — the share of awaits using ConfigureAwait(false). Deterministic, syntax/text detection.

  • 1 blocking call(s) on async work (.Wait()/.GetAwaiter().GetResult()) — these waste a thread and can deadlock in a consumer with a synchronization context.
  • Only 0/14 awaits use ConfigureAwait(false). A library that captures the caller's context can stall or deadlock its host — the classic way a dependency drags an app down.

What to do

  • Make the call chain async end-to-end and await it — never block on a Task with .Wait()/.GetAwaiter().GetResult() in library code.
  • In library code, append .ConfigureAwait(false) to every await (or set <ConfigureAwait>false</ConfigureAwait> / use the analyzer CA2007) so the library never captures the host's context.
S1 · Cryptographic Hygiene8.0 / 10Strong✓ Tool-verified

Other · Security — Cryptographic hygiene (weak hash/cipher, password key-derivation). This codebase has no web surface, so transport/header/cookie/CSRF controls are N/A and only crypto is scored.

Method: Roslyn plus filesystem scan: HSTS/security headers, secure cookies, input validation, middleware order, weak crypto (MD5/SHA1/DES); HTTPS-metadata context-aware. Deterministic.

  • MD5/SHA1 is broken for security purposes (collision-vulnerable). Use SHA-256+ for content integrity; for password storage, use a KDF (PBKDF2/Argon2/BCrypt). — GuidFactories.cs:122

What to do

  • Replace MD5/SHA1 with SHA-256+ for content hashing; switch to a KDF (PBKDF2/Argon2/BCrypt) for password storage.
X1 · Async correctness5.0 / 10Adequate✓ Tool-verified

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.

  • Blocking on a Task with `.Wait()`/`.GetAwaiter().GetResult()` can deadlock (and wastes a thread). Make the caller `async` and `await` instead. — Program.cs:88

What to do

  • Sync-over-async (deadlock risk)
X2 · Cancellation propagation4.0 / 10Weak✓ Tool-verified

Other · Code Health — Whether async methods accept a CancellationToken so work can be cancelled (adoption curve).

Method: Roslyn scan: every async method (excluding framework-fixed overrides/Blazor handlers) checked for CancellationToken parameter presence. Deterministic, adoption percentage.

  • Only 0/5 async methods accept a CancellationToken, so in-flight work can't be stopped early when the caller gives up — whatever ends it in your host (shutdown signal, timeout, abandoned request, user cancel). Thread a token through the call chain and honour it at each await and loop; where a method genuinely cannot be interrupted, omitting it is a deliberate choice — judge against your hosting model.
  • No CancellationToken parameter — this work can't be stopped early once started. (×5) — OperationsController.cs:41, OperationsController.cs:49, ResourcesController.cs:49, …

What to do

  • Thread a CancellationToken through async methods so work stops promptly on cancellation.
X3 · Exception handling10.0 / 10Exemplary○ Nothing flagged

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.

X4 · Structured logging10.0 / 10Exemplary○ Nothing flagged

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.

Reference — by lens

The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.

LensScoreRatingImpact
Code Health69%StrongSolid.
Architecture97%ExemplaryStrongest area.
Maturity57%Adequate — gated by D34, M2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness43%Adequate — gated by D12, P10Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Security87%ExemplarySolid.
Domain Modelling60%Adequate — gated by DM2, DM4Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Event-Driven83%ExemplarySolid.
Performance54%AdequateAcceptable, with room to improve.
Not included — 53 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.
  • AX4 Dependency direction — not applicable to a CQRS architecture (the inward-dependency rule is for layered/clean styles)
  • AX7 Slice cohesion — not applicable — not a vertical-slice architecture
  • AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
  • AXB2 Runtime readiness — no data
  • 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.
  • D11 Test Reliability — Test reliability not measured — no test run produced results
  • 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 — dormant codebase — no living knowledge left to concentrate
  • D19 Documentation Quality — LLM evaluation failed
  • 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.
  • D22 Internal API Consistency — No exposed public API
  • D23 Boundary Type-Coupling — Bounded contexts not declared
  • D25 ADR Conformance — no ADRs to check
  • D30 Dependency Vulnerabilities — the solution did not restore on the analyzer's .NET SDK (an SDK/target-framework/restore mismatch, common for an older codebase), so there was no restored dependency graph to scan for NuGet CVEs — excluded rather than scored; re-run on an SDK that can restore this solution
  • 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) — No PII/GDPR ruleset is bundled (the public p/gdpr semgrep pack was retired) — data compliance is not assessed in this scan.
  • 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.
  • D36 Supply-chain Provenance & Signing — No CI/build pipeline found (.github/.forgejo/.gitea workflows, .gitlab-ci.yml, azure-pipelines.yml, 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 dependency cycles — architectural integrity not assessed
  • D8 Code Coverage — Coverage not measured
  • DM3 Integration-event coupling — no integration events detected — coupling check not applicable
  • DM7 Repository granularity — no repository abstraction detected (e.g. uses a document session)
  • ED2 Event/command shape — no command-shaped messages detected — single-handler-per-command check not applicable
  • ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
  • ES1 Event Sourcing — not run — 0/3 markers found
  • P12 CI test-gate honesty — no data
  • P2 Observability — This repo is a library, not a deployed service — it has no process to operate, so production observability (structured logging, tracing/metrics, health checks) is N/A. A library may log via an injected ILogger, but the absence of operational telemetry is not a defect here. If it grows a host (web API, worker), the dimension reactivates.
  • 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
  • SC1 Supply-chain hygiene — no data
  • X5 Nullable reference types — no NRT-eligible projects
  • X6 Hand-rolled structured-format parsing — no data
  • X7 Silent fallback defaults — no data

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.

Issue — 6 finding(s)
D12 · Dependency Hygiene · Vulnerable · ×6
  • Vulnerable: Akka — Akka 1.4.17 — Moderate severity. https://github.com/advisories/[GHSA redacted]
  • Vulnerable: Newtonsoft.Json — Newtonsoft.Json 12.0.3 — High severity. https://github.com/advisories/[GHSA redacted]
  • Vulnerable: Microsoft.NETCore.App — Microsoft.NETCore.App [2.2.0, — ) severity. 2.2.0
  • Vulnerable: Akka.Cluster — Akka.Cluster 1.4.17 — Critical severity. https://github.com/advisories/[GHSA redacted]
  • Vulnerable: Microsoft.AspNetCore.App — Microsoft.AspNetCore.App [2.2.0, — ) severity. 2.2.0
  • Vulnerable: Akka.Remote — Akka.Remote 1.4.17 — Critical severity. https://github.com/advisories/[GHSA redacted]
Warning — 9 finding(s)
D12 · Dependency Hygiene · Deprecated · ×5
  • Deprecated: Microsoft.Extensions.DependencyInjection.Abstractions — Microsoft.Extensions.DependencyInjection.Abstractions 2.2.0 — Other,Legacy
  • Deprecated: Microsoft.NETCore.App — Microsoft.NETCore.App [2.2.0, — ) 2.2.0 Other,Legacy
  • Deprecated: xunit — xunit 2.4.1 — Legacy xunit.v3 >= 0.0.0
  • Deprecated: Microsoft.AspNetCore.App — Microsoft.AspNetCore.App [2.2.0, — ) 2.2.0 Other,Legacy
  • Deprecated: xunit.runner.utility — xunit.runner.utility 2.4.1 — Legacy xunit.v3.runner.utility >= 0.0.0
D11 · Test Reliability · Test reliability not measured · ×1
  • Test reliability not measured — no test run produced results — Test reliability NOT MEASURED: the test run produced no results for any test tier, so no test ever ran and flakiness could not be exercised. The cause could not be attributed, so it is excluded from the score rather than read as an absence of tests.
D16 · Bus Factor · dormant codebase · ×1
  • dormant codebase — no living knowledge left to concentrate — All 2 significant source file(s) were last meaningfully changed so long ago that no living knowledge remains — nothing since has been substantial enough to re-establish ownership (a broad, mechanical sweep that touches many files shallowly does not count, and neither does no activity at all). There is no concentration to measure, so the bus factor is not scored. This is not a clean bill: nobody currently holds working knowledge of this code (see D34 Knowledge Freshness).
D19 · Documentation Quality · LLM evaluation failed · ×1
  • LLM evaluation failed — JSON parse error: Expected end of string, but instead reached end of data. Path: $.findings[0].docPath | LineNumber: 0 | BytePositionInLine: 1048.
D8 · Code Coverage · Coverage not measured · ×1
  • Coverage not measured — The test suite couldn't be built/run in-image and no coverage report is committed, so line coverage was not measured — and it is EXCLUDED from the score rather than scored on a LoC-ratio proxy. Commit the Cobertura/OpenCover/lcov report your CI already produces (anywhere in the repo), or make the suite runnable in-image, and real coverage will be measured.
Recommendation — 6 finding(s)
D18 · Solution Shape · Thin analysable surface across projects · ×1
  • Thin analysable surface across projects — 3 project(s) carry only a thin slice of real code (e.g. `Akkatecture.Examples.Application` with 21 significant line(s)). The mean analysable-surface weight is 92 %, lowering Solution Shape by about 0.6 point(s). Consolidate thin projects or grow them into substantial, well-scoped assemblies.
D21 · Naming Consistency · The term 'Upcaster' is used in the class name for the implementation, but 'Upcaster' is also used in the test class name. However, looking at the namespace `Akkatecture.TestHelpers.Aggregates.Events.Upcasters` vs `Akkatecture.Tests.UnitTests.Mapping`, the concept of 'Upcasting' is present. A more direct inconsistency is found in the spelling of 'Committed' vs 'Comitted'. · ×1
  • The term 'Upcaster' is used in the class name for the implementation, but 'Upcaster' is also used in the test class name. However, looking at the namespace `Akkatecture.TestHelpers.Aggregates.Events.Upcasters` vs `Akkatecture.Tests.UnitTests.Mapping`, the concept of 'Upcasting' is present. A more direct inconsistency is found in the spelling of 'Committed' vs 'Comitted'. — Standardize the spelling of 'Committed' in type and member names. (symbols: Akkatecture.TestHelpers.Aggregates.Events.Upcasters.TestAggregateEventUpcaster, Akkatecture.Tests.UnitTests.Mapping.AggregateEventUpcasterTests)
D21 · Naming Consistency · The class name 'ComittedEventTests' contains a typo ('Comitted' instead of 'Committed'). This is a clear spelling inconsistency compared to the correct usage of 'Committed' elsewhere in the codebase (e.g., `CommittedEvent`, `ICommittedEvent`). · ×1
  • The class name 'ComittedEventTests' contains a typo ('Comitted' instead of 'Committed'). This is a clear spelling inconsistency compared to the correct usage of 'Committed' elsewhere in the codebase (e.g., `CommittedEvent`, `ICommittedEvent`). — Rename `ComittedEventTests` to `CommittedEventTests`. (symbols: Akkatecture.Tests.UnitTests.Aggregates.ComittedEventTests)
D21 · Naming Consistency · The namespace `Akkatecture.Configuration.DependancyInjection` uses the misspelling 'Dependancy' instead of 'Dependency'. This is a spelling inconsistency compared to standard English and likely other correct usages in the codebase. · ×1
  • The namespace `Akkatecture.Configuration.DependancyInjection` uses the misspelling 'Dependancy' instead of 'Dependency'. This is a spelling inconsistency compared to standard English and likely other correct usages in the codebase. — Rename namespace to `Akkatecture.Configuration.DependencyInjection`. (symbols: Akkatecture.Configuration.DependancyInjection)
D23 · Boundary Type-Coupling · Bounded contexts not declared · ×1
  • Bounded contexts not declared — At 12k LoC across 16 projects the codebase is large and multi-module, so explicit bounded contexts are needed. Name this codebase's bounded contexts (≥2 module groups, e.g. per subsystem) so cross-boundary type coupling can be assessed. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["Acme.Billing"]`, `Catalog: ["Acme.Catalog"]`.
D26 · Project Cohesion · Split Akkatecture · ×1
  • Split Akkatecture — At 9k LoC the Akka project is large and its 27 namespaces are all unrelated Akka actors, services, and orchestration concerns. Suggested: by namespace: Akka.Actor, Akka.Persistence, Akka.EventStore
Info — 24 finding(s)
D12 · Dependency Hygiene · Outdated · ×22
  • Outdated: Akka — Akka 1.4.17 → 1.5.70 available (referenced by Akkatecture).
  • Outdated: Akka.Persistence — Akka.Persistence 1.4.17 → 1.5.70 available (referenced by Akkatecture).
  • Outdated: Akka.Persistence.Query — Akka.Persistence.Query 1.4.17 → 1.5.70 available (referenced by Akkatecture).
  • Outdated: Cronos — Cronos 0.7.0 → 0.13.0 available (referenced by Akkatecture).
  • Outdated: Microsoft.Extensions.DependencyInjection.Abstractions — Microsoft.Extensions.DependencyInjection.Abstractions 2.2.0 → 10.0.10 available (referenced by Akkatecture).
  • Outdated: Microsoft.SourceLink.GitHub — Microsoft.SourceLink.GitHub 1.0.0 → 10.0.301 available (referenced by Akkatecture).
  • Outdated: Newtonsoft.Json — Newtonsoft.Json 12.0.3 → 13.0.4 available (referenced by Akkatecture).
  • Outdated: Akka.Cluster.TestKit — Akka.Cluster.TestKit 1.4.17 → 1.5.70 available (referenced by Akkatecture.Tests).
  • Outdated: Akka.TestKit.Xunit2 — Akka.TestKit.Xunit2 1.4.17 → 1.5.70 available (referenced by Akkatecture.Tests).
  • Outdated: coverlet.msbuild — coverlet.msbuild 2.9.0 → 10.0.1 available (referenced by Akkatecture.Tests).
  • Outdated: FluentAssertions — FluentAssertions 5.10.3 → 8.10.0 available (referenced by Akkatecture.Tests).
  • Outdated: Microsoft.NET.Test.Sdk — Microsoft.NET.Test.Sdk 16.9.1 → 18.8.1 available (referenced by Akkatecture.Tests).
  • Outdated: xunit — xunit 2.4.1 → 2.9.3 available (referenced by Akkatecture.Tests).
  • Outdated: xunit.runner.visualstudio — xunit.runner.visualstudio 2.4.3 → 3.1.5 available (referenced by Akkatecture.Tests).
  • Outdated: Akka.TestKit — Akka.TestKit 1.4.17 → 1.5.70 available (referenced by Akkatecture.TestHelpers).
  • Outdated: Akka.Cluster — Akka.Cluster 1.4.17 → 1.5.70 available (referenced by Akkatecture.Clustering).
  • Outdated: Akka.Cluster.Sharding — Akka.Cluster.Sharding 1.4.17 → 1.5.70 available (referenced by Akkatecture.Clustering).
  • Outdated: Akka.Cluster.Tools — Akka.Cluster.Tools 1.4.17 → 1.5.70 available (referenced by Akkatecture.Clustering).
  • Outdated: Akka.Remote — Akka.Remote 1.4.17 → 1.5.70 available (referenced by Akkatecture.MultiNodeTestRunner).
  • Outdated: Akka.Remote.TestKit — Akka.Remote.TestKit 1.4.17 → 1.5.70 available (referenced by Akkatecture.MultiNodeTestRunner).
  • Outdated: xunit.runner.utility — xunit.runner.utility 2.4.1 → 2.9.3 available (referenced by Akkatecture.MultiNodeTestRunner).
  • Outdated: Microsoft.Extensions.DependencyModel — Microsoft.Extensions.DependencyModel 2.1.0 → 10.0.10 available (referenced by Akkatecture.NodeTestRunner).
D18 · Solution Shape · Build did not complete in the analyzer · ×1
  • Build did not complete in the analyzer — `dotnet build` reported 22 error(s) but no compiler diagnostic — an SDK / target-framework / restore mismatch in the analyzer environment, not a code defect (common for an older codebase whose target framework the analyzer's SDK can't build). Solution Shape is scored on structure and is NOT capped; the semantic analysis of your source loads independently and is unaffected.
D22 · Internal API Consistency · No exposed public API · ×1
  • No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.

Appendix B — Reproduction & audit trail

Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.

DimensionToolVersionCommandFindingsRaw output
D28 · Secrets (history)gitleaksgitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .0artifacts/raw/gitleaks-history.json
D29 · Static Analysis (SAST)semgrepsemgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --json --quiet --timeout 0 --metrics off .1artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilitiesdotnetdotnet: not applicable — the solution did not restore on the analyzer's .NET SDK (an SDK/target-framework/restore mismatch, common for an older codebase), so there was no restored dependency graph to scan for NuGet CVEs — excluded rather than scored; re-run on an SDK that can restore this solution0
D31 · IaC & Container Securitytrivytrivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.0
D32 · Data Compliance (PII/GDPR)semgrepsemgrep: not applicable — No PII/GDPR ruleset is bundled (the public p/gdpr semgrep pack was retired) — data compliance is not assessed in this scan.0
D33 · JS/npm Dependency Vulnerabilitiestrivytrivy: 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.0
D36 · Supply-chain Provenance & Signingprovenanceprovenance: not applicable — No CI/build pipeline found (.github/.forgejo/.gitea workflows, .gitlab-ci.yml, azure-pipelines.yml, Jenkinsfile, .circleci); there is no build to attest provenance for.0
D37 · Vulnerability-disclosure Policydisclosuredisclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.0
D38 · OSV Dependency Vulnerabilitiesosv-scannerosv-scanner: not applicable — 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.0
D40 · Network Egress Confinementruntime-hardeningruntime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.0
D41 · Kernel & Syscall Confinementruntime-hardeningruntime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.0
D42 · Runtime Threat Enforcementruntime-hardeningruntime-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 019faf47-900d-753e-a5f2-c17c02da52ce · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Downloadable artifacts

Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.

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