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jojohuhu-git/CrossRxBL

https://github.com/jojohuhu-git/CrossRxBL · scanned 2026-06-16 04:29 UTC (2 months ago)

6 raw signals (0 security + 6 graph)

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Complete repo analysis

Last scanned 2 months ago · v1 · 6 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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44.4% cov · 6 findings

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Active filters: severity: high × excluding tests × Reset all

Severity: Critical 0 High 1 Medium 2 Low 2 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 6 Crowd 0 Layer: Frontend 1 Security 2 Quality 3

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 54.1/100 with 44.4% coverage. It contains 10 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 6 findings — concentrated in quality (3), security (2), frontend (1). Risk profile is high: 0 critical, 1 high, 2 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 1 of 6 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

high System graph security Agent instructions conf 1.00 Agent instruction/config may expose a secret: CLAUDE.md

Agent-facing files are routinely pasted into LLM/tool contexts. Move literal tokens, keys, and passwords into a secret manager or document them as placeholders only.

CLAUDE.md:217 SecretsClaude instruction

For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.

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