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RB-chrismandich/Manifest

https://github.com/RB-chrismandich/Manifest · scanned 2026-06-15 23:47 UTC (2 months, 3 weeks ago)

18 raw signals (0 security + 18 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 3 weeks ago · v1 · 18 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Scan summary Repository scanned at 83.8/100 with 88.9% coverage. It contains 1017 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 18 findings — concentrated in quality (14), software (1), frontend (1). Risk profile is low: 0 critical, 0 high, 9 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 9 of 18 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph security Agent instructions conf 1.00 Agent instruction contains unpinned remote install: AGENTS.md
Remote install commands in agent instructions are a supply-chain risk, especially when an agent can execute shell commands.
AGENTS.md:167 Supply chainAgents md
medium System graph quality Placeholder conf 1.00 Critical user flow still appears backed by mock or placeholder data
A payment/auth/admin/order/billing-style flow contains mock, fake, TODO, dummy, or placeholder markers in runtime source. In the Fable corpus this is a high-leverage completeness smell: the app can look finished while the money, identity, or tenant flow is still scaffolded.
Mock dataCritical flowGenerated repo pattern
medium System graph cicd CI/CD security conf 1.00 GitHub Actions workflow grants broad write permissions
CI tokens with write permissions increase blast radius when an action, dependency, or PR workflow is compromised. Prefer job-level least-privilege permissions.
.github/workflows/token-benchmark.yml CI/CD securitySupply chainGithub actions
low System graph quality Debug conf 1.00 Debug logging residue appears in source files
Found 108 console/debugger/print-style debug statements in non-test source. This is a common fast-generation residue before production cleanup.
CleanupRepo hardeningGenerated repo pattern
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `_genai_legacy` in configs/claude/scripts/agents/config.py:38
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `skipped_old` in configs/claude/scripts/skillclaw_ingest.py:137
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `skipped_old` in tests/python/test_skillclaw_ingest.py:149
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph software Dead code conf 1.00 Possibly dead Python function: update_callback
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
configs/claude/scripts/agents/orchestrator.py:177
low System graph quality Provenance conf 1.00 Shallow git history limits provenance confidence
The repository is a shallow clone. Origin/evolution analysis cannot distinguish fresh generation, imported legacy code, or long-lived human code with high confidence.
Git historyGenerated repo pattern
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