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extension
Category: Security & ComplianceNo API key required

AI Skill Scanner

Scan OpenBot/Clawdbot skills for security vulnerabilities, malicious code, and suspicious patterns before installing them. Use when a user wants to audit a skill, check if a ClawHub skill is safe, scan for credential exfiltration, detect prompt injection, or review skill security. Triggers on security audit, skill safety check, malware scan, or trust verification.

personAuthor: hugosblhubclawhub

Skill Security Scanner

Scan skills for malicious patterns before installation. Detects credential exfiltration, suspicious network calls, obfuscated code, prompt injection, and other red flags.

Quick Start

# Scan a local skill folder
python3 scripts/scan.py /path/to/skill

# Verbose output (show matched lines)
python3 scripts/scan.py /path/to/skill --verbose

# JSON output (for automation)
python3 scripts/scan.py /path/to/skill --json

Workflow: Scan Before Install

  1. Download or locate the skill folder
  2. Run python3 scripts/scan.py <skill-path> --verbose
  3. Review findings by severity (CRITICAL/HIGH = do not install)
  4. Report results to user with recommendation

Score Interpretation

| Score | Meaning | Recommendation | |-------|---------|----------------| | CLEAN | No issues found | Safe to install | | INFO | Minor notes only | Safe to install | | REVIEW | Medium-severity findings | Review manually before installing | | SUSPICIOUS | High-severity findings | Do NOT install without thorough manual review | | DANGEROUS | Critical findings detected | Do NOT install — likely malicious |

Exit Codes

  • 0 = CLEAN/INFO
  • 1 = REVIEW
  • 2 = SUSPICIOUS
  • 3 = DANGEROUS

Rules Reference

See references/rules.md for full list of detection rules, severity levels, and whitelisted domains.

Limitations

  • Pattern-based detection — cannot catch all obfuscation techniques
  • No runtime analysis — only static scanning
  • False positives possible for legitimate tools that access network/files
  • Always combine with manual review for HIGH/MEDIUM findings