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stablyai/orca

https://github.com/stablyai/orca.git · scanned 2026-05-16 01:58 UTC (2 weeks, 6 days ago) · 10 languages

852 findings (43 legacy + 809 scanner) 25th percentile · Typescript · huge (>500K LoC) Scanner says 73 (higher by 4)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 37 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
77.1
/100
Repobility
81
37 legacy
9-layer
73
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 85.0 0.15 12.75
security_score 79.8 0.25 19.95
testing_score 95.0 0.20 19.00
documentation_score 73.7 0.15 11.05
practices_score 65.0 0.15 9.75
code_quality 48.9 0.10 4.89
Overall 1.00 77.4
Calibrated penalty buckets (security_score): web: 3.0 · agent: 4.4 · authz: 1.2 · threat: 8.6 · journey: 3.1
Severity distribution — click a segment to filter
Active filters: source: crowd × excluding tests × Reset all
Severity: Critical 0 High 22 Medium 9 Low 4 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 37 9-layer 0 Crowd 0 Layer: Quality 31 Security 6
Scan summary Repository scanned at 73.4/100 with 100.0% coverage. It contains 10900 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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