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boxlite-ai/boxlite

https://github.com/boxlite-ai/boxlite · scanned 2026-05-31 01:24 UTC (5 days, 13 hours ago) · 10 languages

1228 findings (275 legacy + 953 scanner) 11/13 scanners ran 66th percentile · Typescript · large (100-500K LoC) Scanner says 48 (higher by 31)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 13 hours ago · v2 · last Δ -0.7 (diff) · 755 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
68.1
/100
Repobility
88
275 legacy
9-layer
48
100.0% cov · 480 gaps
Critical
6
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 100.0 0.25 25.00
testing_score 40.0 0.20 8.00
documentation_score 92.0 0.15 13.80
practices_score 84.0 0.15 12.60
code_quality 69.0 0.10 6.90
Overall 1.00 79.1
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: search: "commented-code" × excluding tests × Reset all
Severity: Critical 6 High 179 Medium 92 Low 338 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 275 9-layer 480 Crowd 0 Layer: Quality 306 Security 28 Cicd 112 Software 116 Frontend 112 Network 8 Hardware 23 Api 50
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Scan summary Repository scanned at 48.1/100 with 100.0% coverage. It contains 7373 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 480 findings — concentrated in frontend (112), quality (105), cicd (103). Risk profile is high: 5 critical, 4 high, 81 medium. Recommended next step: open the frontend layer findings first — that's where the highest-impact wins live.

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