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Skill

Skill Subsonic-control636/agent-shield/skill

Scan AI-related plugins and tools with 13 engines to quickly detect security risks and ensure safe installation before use.

Install
npx -y skills add Subsonic-control636/agent-shield --skill skill

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Scan AI agent skills, MCP servers, and plugins for security vulnerabilities. Use when: user asks to check a skill/plugin for safety, audit security, scan for backdoors/data exfiltration/credential leaks, or evaluate trust of a third-party skill. Triggers: "is this skill safe", "scan for security issues", "audit this plugin", "check for backdoors", "安全扫描", "扫一下安不安全".

SKILL.md

2.9 KB, as published. Nobody here has run it

AgentShield — Security Scanner

Scan any directory for security issues in AI agent skills, MCP servers, and plugins.

Usage

# Basic scan
npx @elliotllliu/agent-shield scan ./path/to/skill/

# Pre-install check (GitHub URL, npm package, or local path)
npx @elliotllliu/agent-shield install-check https://github.com/user/repo

# JSON output for programmatic use
npx @elliotllliu/agent-shield scan ./path/to/skill/ --json

# Fail if score is below threshold
npx @elliotllliu/agent-shield scan ./path/to/skill/ --fail-under 70

# Scan .difypkg plugin archives
npx @elliotllliu/agent-shield scan ./plugin.difypkg

What It Detects (30 rules)

High Risk:

  • data-exfil — reads sensitive files + sends HTTP requests
  • backdoor — eval(), exec(), dynamic code execution
  • reverse-shell — outbound socket to shell
  • crypto-mining — mining pool connections
  • credential-hardcode — hardcoded API keys/tokens
  • obfuscation — base64+eval, hex strings
  • prompt-injection — 55+ patterns, 12 categories, 8 languages
  • tool-shadowing — tool name/description manipulation
  • attack-chain — multi-step kill chain (5 stages)
  • cross-file — cross-file data flow and code injection
  • ast-* — Python AST taint tracking (eval, pickle, SQL injection, SSTI)
  • multilang-injection — 8-language prompt injection
  • description-integrity — semantic mismatch between description and code
  • mcp-runtime — MCP server runtime security issues

Medium Risk:

  • env-leak — process.env exfiltration
  • network-ssrf — user-controlled URLs, SSRF
  • privilege — SKILL.md permission vs code mismatch
  • supply-chain — known CVEs in dependencies
  • sensitive-read — SSH keys, AWS creds access
  • phone-home — periodic beacon/heartbeat pattern
  • python-security — 35 Python-specific patterns

Low Risk:

  • excessive-perms — too many permissions declared
  • hidden-files — .env with secrets committed
  • typosquatting — suspicious npm package names

Interpreting Results

  • Score 90-100: Low risk ✅
  • Score 70-89: Moderate risk — review warnings
  • Score 40-69: High risk — investigate before using
  • Score 0-39: Critical risk — do not install

When to Use

  1. Before installing a third-party skill: npx @elliotllliu/agent-shield install-check <url>
  2. Auditing your own skills before publishing
  3. CI/CD pipeline gate: --fail-under 70
  4. Reviewing skills from untrusted sources

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.