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aiheroes/aiheroes-website

https://github.com/aiheroes/aiheroes-website · scanned 2026-06-17 01:30 UTC (1 month, 2 weeks ago)

16 raw signals (0 security + 16 graph)

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Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ +1.0 (diff) · 16 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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77.8% cov · 16 findings

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

Severity: Critical 0 High 1 Medium 10 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 16 Crowd 0 Layer: Frontend 3 Security 5 Quality 8

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Scan summary Repository scanned at 77.7/100 with 77.8% coverage. It contains 392 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 16 findings — concentrated in quality (8), security (5), frontend (3). Risk profile is high: 0 critical, 1 high, 10 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 1 of 16 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:7 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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