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HKUDS/DeepTutor

https://github.com/HKUDS/DeepTutor · scanned 2026-07-23 19:42 UTC (4 days, 19 hours ago)

415 raw signals (0 security + 415 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 19 hours ago · v8 · 414 actionable findings from 1 signal source. 1 repeated signal grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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100.0% cov · 414 findings

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Active filters: source: legacy × excluding tests × Reset all

Severity: Critical 0 High 197 Medium 68 Low 77 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 414 Crowd 0 Layer: Software 16 Frontend 76 Security 216 Network 1 Hardware 5 Cicd 4 Quality 50 Dependencies 46

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 60.4/100 with 100.0% coverage. It contains 14507 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 415 findings — concentrated in security (216), frontend (76), quality (50). Risk profile is high: 0 critical, 197 high, 69 medium. Recommended next step: open the security layer findings first — that's where the highest-impact wins live.

Showing 0 of 414 actionable findings. 415 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

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