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linkedin/Liger-Kernel

https://github.com/linkedin/Liger-Kernel · scanned 2026-05-15 18:26 UTC (2 weeks, 6 days ago) · 10 languages

267 findings (124 legacy + 143 scanner) 80th percentile · Python · medium (20-100K LoC) Scanner says 89 (lower by 10)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 117 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
86.1
/100
Repobility
83
117 legacy
9-layer
89
77.8% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-14-v3
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 86.0 0.25 21.50
testing_score 100.0 0.20 20.00
documentation_score 66.0 0.15 9.90
practices_score 65.0 0.15 9.75
code_quality 50.0 0.10 5.00
Overall 1.00 78.9
Severity distribution — click a segment to filter
Active filters: layer: data × excluding tests × Reset all
Severity: Critical 0 High 109 Medium 5 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 117 9-layer 0 Crowd 0 Layer: Quality 20 Software 90 Security 7
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Scan summary Repository scanned at 88.8/100 with 77.8% coverage. It contains 2151 nodes across 0 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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