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openclaude

https://github.com/Gitlawb/openclaude · scanned 2026-05-17 03:05 UTC (17 hours, 21 minutes ago) · 10 languages

706 findings (22 legacy + 684 scanner) 42nd percentile · Typescript · huge (>500K LoC) Scanner says 68 (higher by 8)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 17 hours, 21 minutes ago · v1 · 706 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
73.4
/100
Repobility
79
22 legacy
9-layer
68
100.0% cov · 684 gaps
Critical
5
click to filter
Agents
6
0 votes
Crowd
0
reported
{# ── 2026-05-17 R27 #5: score breakdown panel ────────────────────── Surfaces the score_breakdown JSON that's been silently stored on Repository for months. Turns hidden math into a trust signal. #}
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 75.5 0.25 18.88
testing_score 61.0 0.20 12.20
documentation_score 93.7 0.15 14.05
practices_score 75.0 0.15 11.25
code_quality 67.7 0.10 6.77
Overall 1.00 75.9
Calibrated penalty buckets (security_score): web: 3.0 · agent: 2.3 · threat: 16.1 · journey: 3.1
Severity distribution — click a segment to filter
Active filters: source: crowd × excluding tests × Reset all
Severity: Critical 5 High 8 Medium 21 Low 174 Source: Legacy 22 9-layer 684 Crowd 0 Layer: Software 57 Security 14 Quality 537 Cicd 2 Frontend 93 Hardware 3
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Scan summary Repository scanned at 68.0/100 with 100.0% coverage. It contains 15383 nodes across 3 cross-layer flows, written primarily in mixed languages. Engine surfaced 684 findings — concentrated in quality (526), frontend (93), software (52). Risk profile is high: 5 critical, 1 high, 11 medium. Recommended next step: open the quality 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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