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skill-scanner

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 verifi…

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Documentation de la Skill

GitHub

name: skill-scanner description: 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.

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

ScoreMeaningRecommendation
CLEANNo issues foundSafe to install
INFOMinor notes onlySafe to install
REVIEWMedium-severity findingsReview manually before installing
SUSPICIOUSHigh-severity findingsDo NOT install without thorough manual review
DANGEROUSCritical findings detectedDo 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
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