AI-Powered-Vulnerability-Impact-Analyzer: Vulnerability impact analyzer that reduces false positives in SCA tools by performing intelligent code

by alexdevassy · Agent Tool · ★ 65

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Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars65
Forks7
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score61/100
Last Updated2025-02-22
Created2025-02-18
Platformspython
Est. Tokens~51k

About AI-Powered-Vulnerability-Impact-Analyzer

AI-Powered Vulnerability Impact Analyzer 🔍 🤖 Where AI meets Security to tell you if you really need to panic about that CVE 🌟 Introduction Traditional Software Composition Analysis (SCA) tools often generate excessive false positives by solely relying on Software Bill of Materials (SBOM) for vulnerability detection.

Compatible Skills

These tools work well together with AI-Powered-Vulnerability-Impact-Analyzer for enhanced workflows:

  • Nexus-skills — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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