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docs: add M2 estate audit report (2026-04-04)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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# Audit Report — verisimdb-data (2026-04-04)
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## Summary
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VeriSimDB Data is a Git-backed flat-file storage repository for scan results and drift detection data. The codebase functions as a data lake/index for other projects' security audit results. It exhibits strong RSR compliance with comprehensive CI/CD automation. This is a data repository, not a runtime codebase, so dangerous pattern concerns are minimal and primarily confined to recipe documentation.
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## Findings
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### Critical
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None identified. This is a data aggregation repo with no runtime execution code.
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### High
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- **Dangerous pattern references in recipes/registry.json** — Documentation-only references to believe_me, unsafePerformIO, unsafeCoerce patterns from upstream projects
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- These are SCAN RESULTS (not actual code) — patterns documented in registry.json are findings from audited projects
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### Medium
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- Recipe documentation is comprehensive but only examples/guidance (not executed)
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- Test coverage limited to ingest workflows
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- Drift detection data is time-series snapshots
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## RSR Compliance
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- **EXPLAINME.adoc**: present ✓
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- **0-AI-MANIFEST.a2ml**: present ✓
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- **.machine_readable/**: present ✓
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- **SECURITY.md**: present ✓
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- **CONTRIBUTING.md**: present ✓
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## Test Coverage
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VeriSimDB-data has minimal active test code (it's a data repo), but includes:
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- **Workflow validation**: ingest.yml (GitHub Actions triggered on workflow_dispatch)
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- **Data schema validation**: JSON validation in ingest workflow
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- **Index consistency**: jekyll.yml, jekyll-gh-pages.yml for documentation builds
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- **CI workflows**: 17 quality, security, and policy enforcement workflows
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Test coverage is appropriate for a data repository:
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- recipes/ — Refactoring recipes (documentation, not executable)
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- patterns/registry.json — Scan result index (data, not code)
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- scans/ — Historical scan snapshots (data artifacts)
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- drift/ — Drift detection records (time-series data)
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## Proof Debt
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**Status: N/A FOR DATA REPO**
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This is a **data aggregation repository**, not a proof-bearing codebase. Dangerous patterns found in registry.json are:
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1. **Scan result documentation** (from audited upstream repos):
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- 14 believe_me instances in src/Proven/SafeEmail/Proofs.idr (remote project)
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- 18 believe_me instances in src/Proven/SafeJWT/Proofs.idr (remote project)
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- 6 believe_me instances in src/abi/Layout.idr (remote project)
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- ... (total 87 indexed patterns across 10+ projects)
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2. **Recipes** (documentation/guidance):
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- recipe-remove-believe-me.json — How to eliminate believe_me
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- recipe-unsafe-type-coercion.json — How to eliminate unsafe casts
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- These are **guidance documents**, not actual code violations
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**Conclusion**: VeriSimDB-data correctly stores and documents dangerous patterns found in OTHER projects' codebase scans. This is the intended use case.
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## Publication Safety
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**Claim**: "Data aggregation repository for security audit results"
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**Evidence**:
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- registry.json documents patterns from scanned repositories
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- scans/ contains JSON results from panic-attack and other tools
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- Recipes provide remediation guidance (best practices)
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- Index is machine-readable for downstream tool consumption
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This is appropriate. The repo transparently documents findings from external audits.
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## CI Health
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**Status: COMPREHENSIVE**
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Active workflows (17 files):
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- ingest.yml — Data ingestion trigger
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- mirror.yml — Git repository mirroring
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- codeql.yml, security-policy.yml — Security scanning
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- quality.yml — Code quality
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- rsr-antipattern.yml — RSR policy enforcement
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- npm-bun-blocker.yml, ts-blocker.yml, guix-nix-policy.yml — Language/tool enforcement
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- scorecard.yml, secret-scanner.yml — Supply chain security
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- jekyll.yml, jekyll-gh-pages.yml — Documentation
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- workflow-linter.yml, wellknown-enforcement.yml — Standards compliance
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- instant-sync.yml — Mirroring
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**No failures detected**. All workflows properly configured.
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## Verdict
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**PUBLISHABLE NOW**
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VeriSimDB-data is functioning as intended: a transparent data lake documenting security findings across the estate. The dangerous patterns found in registry.json are **correctly** documented as findings from OTHER projects' scans—not code defects in this repo itself.
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Publication is appropriate because:
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1. Data aggregation is the intended use case
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2. Scan results are transparently documented
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3. Remediation recipes are provided
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4. Complete RSR compliance
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5. Comprehensive CI enforcement
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The fact that dangerous patterns appear in scans is NOT a defect—it's evidence that the audit pipeline is working correctly.
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---
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**Audited by**: M2 estate audit (2026-04-04)
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**Confidence**: HIGH
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**Recommendation**: SHIP AS-IS

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