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divake/ai_intel_ml_lidar

https://github.com/divake/ai_intel_ml_lidar · scanned 2026-06-17 01:57 UTC (2 months, 3 weeks ago)

15 raw signals (0 security + 15 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 3 weeks ago · v2 · last Δ -14.0 (diff) · 12 actionable findings from 1 signal source. 3 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Scan summary Repository scanned at 62.7/100 with 44.4% coverage. It contains 73 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 15 findings — concentrated in software (7), quality (7), network (1). Risk profile is low: 0 critical, 0 high, 5 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 0 of 12 actionable findings. 15 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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