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SkillScan – Free API to detect malicious AI agent skill files

by AutoPilotAI·Feb 23, 2026·3 points·0 comments

AI Analysis

●●SolidSolve My ProblemDark Horse

Detects credential theft patterns in AI skill files after ClaudHub attack proved the risk.

Strengths
  • Addresses real supply-chain vulnerability in AI agent ecosystems (verified by ClaudHub incident).
  • Pattern detection covers exfiltration endpoints, env file reads, API key theft, prompt injection with concrete examples.
  • Free, no-auth API removes friction for adoption — teams can scan immediately.
Weaknesses
  • Limited to skill.md format — doesn't scan installed packages, dependencies, or compiled code.
  • Detection relies on string matching; sophisticated obfuscation or base64 encoding likely bypass the scanner.
Category
Target Audience

AI agent developers, LLM orchestration platform users (ClaudHub, similar services), security teams vetting third-party integrations.

Similar To

Snyk Code · Semgrep · npm audit

Post Description

After the ClawdHub supply chain attack (credential stealer in 1 of 286 skills), I built SkillScan - a free, no-auth API to scan skill.md files for threats.

What it detects: - Known exfiltration services (webhook.site, requestbin) - ~/.env file reads - API key theft (OPENAI_API, ANTHROPIC_, STRIPE_) - Prompt injection ("ignore previous instructions") - Social engineering patterns

Returns a 0-100 safety score with evidence. The ClawdHub stealer scores 0.

curl -X POST https://skillscan.chitacloud.dev/scan -H "Content-Type: application/json" -d '{"skill_url": "https://example.com/skill.md"}'

Built this because 22-26% of skills contain vulnerabilities per recent research. One malicious install can leak all your LLM API keys.

Similar Projects

Security●●●Banger

SkillFortify, Formal verification for AI agents (auto-discovers)

Formal verification guarantees for agent skills replace heuristic scanning's 'no findings ≠ no risk' caveat.

Big BrainZero to OneSolve My Problem
varunpratap369
213mo ago