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OpenClaw

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.

hugosbl0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install hugosbl/ai-skill-scanner

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/hugosbl/ai-skill-scanner
Version
—
Commit
2c8207af0663eec459c0003080e6c832c6f75cac
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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

```bash
# 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

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