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AI-QL/tuui

https://github.com/AI-QL/tuui · scanned 2026-05-31 01:25 UTC (5 days, 13 hours ago) · 10 languages

187 findings (33 legacy + 154 scanner) 70th percentile · Typescript · small (2-20K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 13 hours ago · v2 · 110 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
Combined
82.7
/100
Repobility
91
33 legacy
9-layer
74
66.7% cov · 77 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 100.0 0.15 15.00
security_score 98.4 0.25 24.60
testing_score 25.0 0.20 5.00
documentation_score 73.7 0.15 11.05
practices_score 79.0 0.15 11.85
code_quality 78.7 0.10 7.87
Overall 1.00 75.4
Severity distribution — click a segment to filter
Active filters: layer: data × excluding tests × Reset all
Severity: Critical 0 High 8 Medium 5 Low 78 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 33 9-layer 77 Crowd 0 Layer: Quality 29 Software 38 Api 1 Frontend 37 Cicd 5
Scan summary Repository scanned at 74.2/100 with 66.7% coverage. It contains 358 nodes across 9 cross-layer flows, written primarily in mixed languages. Engine surfaced 77 findings — concentrated in frontend (37), software (28), quality (6). Risk profile is low: 0 critical, 0 high, 1 medium. Recommended next step: open the frontend layer findings first — that's where the highest-impact wins live.

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