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bytedance/UI-TARS-desktop

https://github.com/bytedance/UI-TARS-desktop · scanned 2026-05-15 21:14 UTC (2 weeks, 6 days ago) · 10 languages

527 findings (15 legacy + 512 scanner) 30th percentile · Typescript · large (100-500K LoC) Scanner says 46 (higher by 25)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 11 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
59.0
/100
Repobility
72
11 legacy
9-layer
46
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 86.2 0.25 21.55
testing_score 49.0 0.20 9.80
documentation_score 75.0 0.15 11.25
practices_score 75.0 0.15 11.25
code_quality 80.0 0.10 8.00
Overall 1.00 70.8
Calibrated penalty buckets (security_score): docker: 2.6 · threat: 11.2
Severity distribution — click a segment to filter
Active filters: layer: hardware × excluding tests × Reset all
Severity: Critical 0 High 1 Medium 4 Low 5 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 11 9-layer 0 Crowd 0 Layer: Cicd 2 Security 6 Quality 3
Scan summary Repository scanned at 45.6/100 with 100.0% coverage. It contains 5243 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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