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Scan timing: clone 4.47s · analysis 68.28s · 3.9 MB · GitHub preflight 447ms

RAG-Anything

https://github.com/HKUDS/RAG-Anything.git · scanned 2026-06-03 04:02 UTC (2 days, 10 hours ago) · 10 languages

535 findings (165 legacy + 370 scanner) 66th percentile · Python · medium (20-100K LoC) Scanner says 90 (lower by 20)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 days, 10 hours ago · v6 · 228 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
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 75.0 0.15 11.25
security_score 53.4 0.25 13.35
testing_score 87.0 0.20 17.40
documentation_score 83.0 0.15 12.45
practices_score 74.0 0.15 11.10
code_quality 45.0 0.10 4.50
Overall 1.00 70.0
Severity distribution — click a segment to filter
Active filters: source: crowd × excluding tests × Reset all
Scan summary Repository scanned at 90.0/100 with 88.9% coverage. It contains 974 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 63 findings — concentrated in quality (32), software (19), cicd (9). Risk profile is low: 0 critical, 0 high, 5 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

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