DeepTutor

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132 of your 239 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

https://github.com/HKUDS/DeepTutor.git · scanned 2026-05-29 03:41 UTC (1 week ago) · 10 languages

2230 findings (220 legacy + 2010 scanner) 11/13 scanners ran 60th percentile · Python · medium (20-100K LoC) Scanner says 61 (higher by 5)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week ago · v5 · last Δ +0.1 (diff) · 640 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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100.0% cov · 420 gaps

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	100.0	0.25	25.00
`testing_score`	15.0	0.20	3.00
`documentation_score`	88.0	0.15	13.20
`practices_score`	74.0	0.15	11.10
`code_quality`	45.0	0.10	4.50
Overall		1.00	65.8

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

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Severity: Critical 1 High 280 Medium 38 Low 189 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 220 9-layer 420 Crowd 0 Layer: Security 163 Quality 279 Cicd 26 Software 66 Frontend 46 Hardware 9 Api 51

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 61.0/100 with 100.0% coverage. It contains 10362 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 420 findings — concentrated in quality (133), security (117), api (51). Risk profile is high: 0 critical, 118 high, 24 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

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