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HKUDS/Vibe-Trading

https://github.com/HKUDS/Vibe-Trading · scanned 2026-05-15 05:01 UTC (3 weeks ago) · 10 languages

128 findings (39 legacy + 89 scanner) 69th percentile · Python · medium (20-100K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 3 weeks ago · v1 · 35 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
67.9
/100
Repobility
64
35 legacy
9-layer
72
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 58.3 0.25 14.57
testing_score 95.0 0.20 19.00
documentation_score 88.0 0.15 13.20
practices_score 75.0 0.15 11.25
code_quality 61.2 0.10 6.12
Overall 1.00 73.1
Calibrated penalty buckets (security_score): web: 1.6 · agent: 6.9 · authz: 8.4 · threat: 21.6 · journey: 3.3
Severity distribution — click a segment to filter
Active filters: layer: data × excluding tests × Reset all
Severity: Critical 0 High 18 Medium 11 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 35 9-layer 0 Crowd 0 Layer: Quality 13 Security 17 Cicd 4 Software 1
Scan summary Repository scanned at 72.0/100 with 100.0% coverage. It contains 3318 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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