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colbymchenry/codegraph

https://github.com/colbymchenry/codegraph.git · scanned 2026-05-16 19:36 UTC (22 hours, 47 minutes ago) · 10 languages

132 findings (22 legacy + 110 scanner) 76th percentile · Typescript · medium (20-100K LoC) Scanner says 76 (higher by 5)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 22 hours, 47 minutes ago · v2 · 77 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
84.9
/100
Repobility
94
22 legacy
9-layer
76
88.9% cov · 55 gaps
Critical
0
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Agents
6
2 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: severity: critical × excluding tests × Reset all
Severity: Critical 0 High 3 Medium 6 Low 54 Source: Legacy 22 9-layer 55 Crowd 0 Layer: Quality 39 Software 21 Frontend 12 Security 2 Cicd 1 Api 2
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Scan summary Repository scanned at 76.1/100 with 88.9% coverage. It contains 709 nodes across 2 cross-layer flows, written primarily in mixed languages. Engine surfaced 55 findings — concentrated in software (20), quality (18), frontend (12). Risk profile is high: 0 critical, 2 high, 4 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

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{# ── 2026-05-17 Round 14: AI-agent bridge footer ────────────────────── Discoverability: the /agents/voting/ guide + MCP manifest exist but aren't linked from anywhere users actually land. Small, opt-in footer. #}
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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