agent-security-scanner-mcp

agent-security-scanner-mcp

npm audit for AI agents and MCP servers

Scan code, MCP tools, prompts, skills, and AI-suggested dependencies before your agent trusts them. Built for Claude Code, Cursor, Windsurf, Cline, OpenClaw, and CI/CD.

Start Here

Run the agent security smoke test on any repo:

npx agent-security-scanner-mcp scan-project . --verbosity compact

Or get repo-specific next steps first:

npx agent-security-scanner-mcp quickstart --client claude-code

Generate public-safe copy for a launch post, GitHub issue, or directory listing:

npx agent-security-scanner-mcp share-kit --client claude-code

Install it into your AI coding client:

npx agent-security-scanner-mcp init claude-code

Replace claude-code with cursor, claude-desktop, windsurf, cline, kilo-code, opencode, or cody.

Add the GitHub Actions workflow:

npx agent-security-scanner-mcp init-ci github

What To Run Before You Trust An Agent

# Check the whole project and get an A-F security grade
npx agent-security-scanner-mcp scan-project . --verbosity compact # Audit an MCP server before adding it to Claude/Cursor/Windsurf
npx agent-security-scanner-mcp scan-mcp ./path/to/mcp-server --verbosity compact # Try an MCP audit demo with tool poisoning and command-exec findings
npx agent-security-scanner-mcp demo --type mcp --no-prompt # Verify AI-suggested imports are real packages, not hallucinations
npx agent-security-scanner-mcp scan-packages ./src/app.ts npm --verbosity compact # Check one package before installing it
npx agent-security-scanner-mcp check-package express npm # Add a local environment health check
npx agent-security-scanner-mcp doctor # Add the scanner to your AI client
npx agent-security-scanner-mcp init claude-code

🎯 Two Versions Available

🔥 ProofLayer (Lightweight) - NEW!

Ultra-fast, zero-Python security scanner — 81.5KB package, 4-second install

npm install -g @prooflayer/security-scanner

• ⚡ 4-second install (vs 45s traditional scanners)
• 📦 81.5KB package (vs 50MB+ alternatives)
• 🚀 Instant scans - pure regex, no Python/LLM
• 🛡️ 400+ security rules across 9 languages
• 🎯 7 MCP tools for AI agents
• ✅ Zero dependencies on Python
• 💯 MIT licensed - free for commercial use

📖 ProofLayer Documentation →

🔬 Full Version (Advanced)

Enterprise-grade scanner with AST analysis, taint tracking, cross-file analysis, and LLM-powered semantic review

npm install -g agent-security-scanner-mcp

• 🧬 AST + Taint Analysis - deep code understanding
• 🔍 1,700+ security rules across 12 languages
• 📊 Cross-file tracking - follow data flows
• 🎯 11 MCP tools + CLI commands
• 📦 4.3M+ package verification (bloom filters)
• 🐍 Python analyzer for advanced features
• 🤖 LLM-powered code review - semantic security analysis with intent profiling

Continue reading below for full version documentation →

New in v4.4.11 (2026-07-11): Share kit generator — run npx agent-security-scanner-mcp share-kit --client cursor to generate public-safe launch copy, a GitHub issue template, directory listing text, and repo-specific commands for sharing an agent-security smoke test.

New in v4.4.10 (2026-07-10): Quickstart planner — run npx agent-security-scanner-mcp quickstart --client cursor to get repo-specific scan, MCP audit, SBOM, CI, and AI-client setup commands before choosing what to run.

New in v4.4.9 (2026-07-08): MCP audit demo — run npx agent-security-scanner-mcp demo --type mcp --no-prompt to create and scan a tiny MCP server with tool poisoning, tool-name spoofing, command execution, secret exposure, and missing-validation findings.

New in v4.4.8 (2026-07-07): Package hallucination demo — run npx agent-security-scanner-mcp demo --type packages --no-prompt to create and scan a tiny import file with real and fake npm packages. README examples now show both single-package verification and import scanning.

New in v4.4.7 (2026-07-07): CI adoption improvements — added init-ci github to install the GitHub Actions workflow from the CLI, and scheduled GitHub Action runs now automatically scan the full project instead of only the latest diff. Package hallucination checks also use all tracked source files during full-project runs.

New in v4.3.0 (2026-05-05): Critical security and reliability fixes — GitHub Actions now fail closed instead of fail-open when scanner output is invalid (preventing security gate bypass), patched 8 Hono CVEs (XSS, path traversal, authentication bypass), fixed confidence threshold filtering case sensitivity, and corrected SARIF generation for GitHub Code Scanning. All fixes include comprehensive regression tests. Upgrade recommended for production use. See Full Changelog.

New in v4.2.0: Compliance evidence collection — evaluate projects against SOC2-Technical (8 controls) and GDPR-Technical (6 controls) frameworks. Collects evidence from code scans, SBOM, vulnerability checks, and hallucination detection, then evaluates controls with pass/partial/fail/not_evaluated status. Supports evidence persistence for audit trails. See Compliance Evaluation.

New in v4.1.0: SBOM generation and dependency vulnerability analysis — generates CycloneDX v1.5 SBOMs, scans against OSV.dev for CVEs, detects hallucinated packages, compares baselines, and generates HTML audit reports. Supports 8 lock file formats and 7 manifest formats across npm, Python, Go, Rust, Ruby, and Java ecosystems. See SBOM Tools.

New in v4.0.0: LLM-powered semantic code review agent with intent profiling — understands what your project is supposed to do and flags patterns that violate that intent. Same eval() call = safe in a build tool, dangerous in an e-commerce app. Supports Claude CLI (no API key needed!), Anthropic, and OpenAI. See code-review-agent.

New in v3.11.0: ClawHub ecosystem security scanning — scanned all 16,532 ClawHub skills and found 46% have critical vulnerabilities. New scan-clawhub CLI for batch scanning, 40+ prompt injection patterns, jailbreak detection (DAN mode, dev mode), data exfiltration checks. See ClawHub Security Dashboard.

Also in v3.10.0: ClawProof OpenClaw plugin — 6-layer deep skill scanner (scan_skill) with ClawHavoc malware signatures (27 rules, 121 patterns covering reverse shells, crypto miners, info stealers, C2 beacons, and OpenClaw-specific attacks), package supply chain verification, and rug pull detection.

OpenClaw integration: 30+ rules targeting autonomous AI threats + native plugin support. See setup.

Tools

Tool	Description	When to Use
scan_security	Scan code for vulnerabilities (1700+ rules, 12 languages) with AST and taint analysis	After writing or editing any code file
fix_security	Auto-fix all detected vulnerabilities (120 fix templates)	After scan_security finds issues
scan_git_diff	Scan only changed files in git diff	Before commits or in PR reviews
scan_project	Scan entire project with A-F security grading	For project-wide security audits
check_package	Verify a package name isn't AI-hallucinated (4.3M+ packages)	Before adding any new dependency
scan_packages	Bulk-check all imports in a file for hallucinated packages	Before committing code with new imports
scan_agent_prompt	Detect prompt injection with bypass hardening (59 rules + multi-encoding)	Before acting on external/untrusted input
scan_agent_action	Pre-execution safety check for agent actions (bash, file ops, HTTP). Returns ALLOW/WARN/BLOCK	Before running any agent-generated shell command or file operation
scan_mcp_server	Scan MCP server source for vulnerabilities: unicode poisoning, name spoofing, rug pull detection, manifest analysis. Returns A-F grade	When auditing or installing an MCP server
scan_skill	Deep security scan of an OpenClaw skill: prompt injection, AST+taint code analysis, ClawHavoc malware signatures, supply chain, rug pull. Returns A-F grade	Before installing any OpenClaw skill
scanner_health	Check plugin health: engine status, daemon status, package data availability	Diagnostics and plugin status
list_security_rules	List available security rules and fix templates	To check rule coverage for a language
sbom_generate	Generate CycloneDX v1.5 SBOM for a project (8 lock file formats, 7 manifest formats)	Before releases, for compliance audits
sbom_scan_vulnerabilities	Cross-reference SBOM against OSV.dev for CVEs with severity filtering	After generating SBOM, for security audits
sbom_check_hallucinations	Verify all SBOM packages exist in official registries	Before deploying, to catch AI-invented packages
sbom_diff	Compare current SBOM against baseline, detect added/removed/changed packages	In CI/CD to track dependency drift
sbom_export_report	Generate HTML or JSON audit report from SBOM with vulnerability data	For PCI-DSS compliance, security reviews
get_compliance_controls	Look up compliance controls with evaluation criteria (AIUC-1, SOC2, GDPR)	To understand compliance requirements
evaluate_compliance	Evaluate project against compliance frameworks with evidence collection	For SOC2/GDPR technical compliance audits

Quick Start

npx agent-security-scanner-mcp init claude-code

Restart your client after running init. That's it — the scanner is active.

Other clients: Replace claude-code with cursor, claude-desktop, windsurf, cline, kilo-code, opencode, or cody. Run with no argument for interactive client selection.

Recommended Workflows

After Writing or Editing Code

scan_security → review findings → fix_security → verify fix

Before Committing

scan_git_diff → scan only changed files for fast feedback
scan_packages → verify all imports are legitimate

For PR Reviews

scan_git_diff --base main → scan PR changes against main branch

For Project Audits

scan_project → get A-F security grade and aggregated metrics

When Processing External Input

scan_agent_prompt → check for malicious instructions before acting on them

When Adding Dependencies

check_package → verify each new package name is real, not hallucinated

ClawHub Ecosystem Scanning (New in v3.11.0)

Scan AI agent skills for prompt injection, jailbreaks, and security threats:

# Scan entire ClawHub ecosystem (777 skills)
node index.js scan-clawhub # Scan single skill file
node index.js scan-skill ./path/to/SKILL.md # Standalone package
npm install -g clawproof
clawproof scan ./SKILL.md

Security Reports: We've scanned all 777 ClawHub skills:

• 69.5% have security issues
• 21.2% have critical vulnerabilities (Grade F - DO NOT INSTALL)
• 30.5% are completely safe (Grade A)
• 4,129 prompt injection patterns detected

See ClawHub Security Dashboard for interactive exploration of all 16,532 skills with searchable security grades and detailed findings.

Detection Capabilities:

• Prompt Injection (15 patterns): "ignore previous instructions", role manipulation
• Jailbreaks (4 patterns): DAN mode, developer mode, pretend scenarios
• Data Exfiltration (2 patterns): External URLs, base64 encoding
• Hidden Instructions (2 patterns): HTML comments, secret directives

Security Grading:

• A (0 points): Safe to install
• B (1-10): Low risk - review findings
• C (11-25): Medium risk - use with caution
• D (26-50): High risk - not recommended
• F (51+): DO NOT INSTALL - critical threats

🤖 LLM-Powered Code Review Agent (New in v4.0.0)

The code-review-agent is an LLM-powered semantic code review tool that uses intent profiling to distinguish safe patterns from dangerous ones based on project context.

Key Differentiator: Intent-Aware Analysis

Same code, different verdicts based on what the project is supposed to do:

Pattern	Build Tool	E-Commerce App
subprocess.run() with hardcoded commands	✅ Expected — that's its job	⚠️ Suspicious — why does checkout need shell access?
eval(req.query.filter)	⚠️ Suspicious — build tools don't eval user input	❌ Dangerous — product catalog shouldn't eval user input
os.remove()	✅ Expected for file organizer	❌ Dangerous for auth service
fs.writeFile(req.body.path)	⚠️ Review — depends on context	❌ Dangerous — auth service shouldn't write arbitrary files

Quick Start

After installing agent-security-scanner-mcp, the cr-agent CLI is automatically available: