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Veso-AI-Open-Source/ClaudeUsageBar

https://github.com/Veso-AI-Open-Source/ClaudeUsageBar · scanned 2026-06-16 00:48 UTC (2 months, 1 week ago)

15 raw signals (0 security + 15 graph)

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Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 13 actionable findings from 1 signal source. 2 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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55.6% cov · 13 findings

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

Severity: Critical 0 High 0 Medium 6 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 13 Crowd 0 Layer: Security 2 Cicd 3 Quality 8

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Scan summary Repository scanned at 66.7/100 with 55.6% coverage. It contains 148 nodes across 1 cross-layer flows, written primarily in mixed languages. Engine surfaced 15 findings — concentrated in quality (8), cicd (5), security (2). Risk profile is low: 0 critical, 0 high, 6 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 0 of 13 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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