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tobiashaas/woo4etch

https://github.com/tobiashaas/woo4etch · scanned 2026-06-16 00:38 UTC (2 months, 2 weeks ago)

18 raw signals (0 security + 18 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 13 actionable findings from 1 signal source. 5 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Active filters: severity: low × excluding tests × Reset all
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Scan summary Repository scanned at 66.8/100 with 55.6% coverage. It contains 86 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 18 findings — concentrated in cicd (8), quality (7), security (2). Risk profile is low: 0 critical, 0 high, 11 medium. Recommended next step: open the cicd layer findings first — that's where the highest-impact wins live.

Showing 2 of 13 actionable findings. 18 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

low System graph cicd CI/CD security conf 1.00 3 occurrences GitHub Action is tag-pinned rather than SHA-pinned
actions/checkout@v6 can move without a code change in this repo. Pin third-party actions to a reviewed 40-character commit SHA.
2 files, 3 locations
.github/workflows/test.yml:35, 56 (2 hits)
.github/workflows/release.yml:16
CI/CD securitySupply chainGithub actions
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
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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