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Thomas-AppForceOne/ClaudeAgents

https://github.com/Thomas-AppForceOne/ClaudeAgents · scanned 2026-06-16 01:14 UTC (2 months, 1 week ago)

251 raw signals (38 security + 213 graph)

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Complete repo analysis

Last scanned 2 months, 1 week ago · v2 · 221 actionable findings from 2 signal sources. 78 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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66.7% cov · 213 findings

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

Severity: Critical 2 High 5 Medium 22 Low 7 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 8 System graph 213 Crowd 0 Layer: Quality 202 Security 17 Frontend 1 Cicd 1

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Scan summary Repository scanned at 82.2/100 with 66.7% coverage. It contains 2527 nodes across 12 cross-layer flows, written primarily in mixed languages. Engine surfaced 213 findings — concentrated in quality (195), security (16), frontend (1). Risk profile is high: 0 critical, 2 high, 19 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 0 of 221 actionable findings. 299 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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