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Gen-Verse/Open-AgentRL

https://github.com/Gen-Verse/Open-AgentRL.git · scanned 2026-05-16 02:01 UTC (2 weeks, 6 days ago) · 10 languages

611 findings (221 legacy + 390 scanner) 0th percentile · Python · large (100-500K LoC) Scanner says 63 (lower by 17)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 202 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
51.0
/100
Repobility
39
202 legacy
9-layer
63
100.0% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 9.9 0.25 2.48
testing_score 67.0 0.20 13.40
documentation_score 79.0 0.15 11.85
practices_score 30.0 0.15 4.50
code_quality 46.8 0.10 4.68
Overall 1.00 45.9
Calibrated penalty buckets (security_score): web: 1.6 · agent: 3.2 · authz: 6.4 · docker: 54.3 · threat: 42.1 · journey: 11.8
Severity distribution — click a segment to filter
Active filters: layer: frontend × excluding tests × Reset all
Severity: Critical 0 High 102 Medium 32 Low 64 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 202 9-layer 0 Crowd 0 Layer: Quality 35 Security 27 Cicd 140
Scan summary Repository scanned at 63.3/100 with 100.0% coverage. It contains 8652 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 0 findings. Risk profile is low: 0 critical, 0 high, 0 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

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