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Shubhamsaboo/awesome-llm-apps

https://github.com/Shubhamsaboo/awesome-llm-apps · scanned 2026-07-23 19:43 UTC (4 days, 14 hours ago)

2740 raw signals (0 security + 2740 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 14 hours ago · v9 · 2727 actionable findings from 1 signal source. 13 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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100.0% cov · 2727 findings

Severity distribution — click a segment to filter

Active filters: layer: integrity × excluding tests × Reset all

Severity: Critical 23 High 730 Medium 1595 Low 354 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 2727 Crowd 0 Layer: Software 26 Frontend 41 Security 1771 Quality 49 Hardware 14 Cicd 4 Dependencies 821 Api 1

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Scan summary Repository scanned at 55.5/100 with 100.0% coverage. It contains 7310 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 2740 findings — concentrated in security (1771), dependencies (821), quality (54). Risk profile is high: 23 critical, 730 high, 1600 medium. Recommended next step: open the security layer findings first — that's where the highest-impact wins live.

Showing 0 of 2727 actionable findings. 2740 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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