ai-agentlint 0.3.0

Lint AI coding agent git diffs using static analysis.

agentlint

agentlint is a Python CLI that lints AI coding-agent git diffs for common risky patterns using static analysis only (no LLM calls).

Install

pip install ai-agentlint

For local development:

pip install -e ".[dev]"

Quick Start

Basic check against last commit:

agentlint check

Check staged changes:

agentlint check --staged

Check a commit range:

agentlint check HEAD~3..HEAD

Pipe a diff through stdin:

git diff | agentlint check --stdin

Provide task context for scope-aware checks:

agentlint check --task "only update parser error handling"

JSON output for automation:

agentlint check --format json

Markdown output for PR comments:

agentlint check --format markdown

Available report formats: text (default), json, and markdown.

Checks

• scope_drift: Warns when changed files appear unrelated to --task. Example: task is "parser bugfix" but diff edits infra/main.tf.
• secret_leak: Errors on likely credential leaks (AWS/GitHub tokens, passwords, private keys, DB URLs). Example: added line password = "supersecret123".
• test_regression: Warns when test lines are deleted without replacement or tests are changed off-task. Example: delete tests/test_api.py assertions and add no test updates.
• config_vandalism: Warns for CI/infra/lock-file edits outside scope. Example: modify .github/workflows/ci.yml in a docs-only task.
• dependency_injection: Warns when new dependencies are introduced unexpectedly. Example: add flask==3.0.0 to requirements.txt without dependency-related task text.
• todo_bombs: Warns/errors on TODO/FIXME/HACK spikes. Example: adding 4 TODO markers raises an error.
• mcp_permissions: Errors on dangerous MCP server configuration patterns. Example: .mcp.json with "autoApprove": true or "autoApprove": ["*"] (related to CVE-2026-21852 auto-approve bypass).
• permission_escalation: Errors on risky patterns (sudo, permissive chmod, eval, exec, shell=True, os.system). Example: subprocess.run(cmd, shell=True).
• dead_code: Warns on added commented-out code blocks (5+ lines). Example: pasting a large block of # old implementation lines.

Configuration

agentlint discovers .agentlint.toml by walking up from the current directory.

disabled_checks = ["scope_drift"]

[severity]
todo_bombs = "error"
config_vandalism = "info"

[ignore]
secret_leak = ["tests/fixtures/*"]
scope_drift = ["docs/*"]

[secrets]
allowed_patterns = ["^dummy_token_for_tests$"]

CLI config controls:

• --config PATH: Load config from explicit file.
• --no-config: Ignore discovered config files.

GitHub Actions

Use the bundled composite action in this repository to lint PR diffs and post markdown results as a pull request comment.

name: agentlint
on:
  pull_request:

permissions:
  contents: read
  pull-requests: write

jobs:
  lint-diff:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0
      - run: git fetch origin main --depth=1
      - uses: ./
        id: agentlint
        with:
          fail-on-error: true
          fail-on-warning: false
          format: markdown
          comment: true
          python-version: "3.12"
      - if: always()
        run: |
          echo "exit-code=${{ steps.agentlint.outputs.exit-code }}"
          printf '%s\n' "${{ steps.agentlint.outputs.report }}"

Why agentlint?

• Enforces deterministic, static checks suitable for CI gates.
• Focuses on agent-specific failure patterns in patch output.
• Fast enough to run on every PR and staged commit.

Part of the Agent Toolkit

agentlint is one of three tools for AI coding agent quality:

• coderace — Race coding agents against each other on real tasks. Automated, reproducible, scored comparisons.
• agentmd — Generate and score context files (CLAUDE.md, AGENTS.md, .cursorrules) for AI coding agents.
• agentlint — Lint AI agent git diffs for risky patterns. Static analysis, no LLM required.

Measure (coderace) → Optimize (agentmd) → Guard (agentlint).

Contributing

1. Create a branch.
2. Add or update checks/tests/docs together.
3. Run pytest -v --cov=agentlint --cov-report=term-missing.
4. Open a PR with a short rationale and sample diff cases.

License

MIT. See LICENSE.