Agent Context Doctor

One CLI to keep all your AI agent context files in sync.
_{Zero dependencies · Works offline · No API key needed}

Audit, generate, sync, verify, and package repository context files for AI coding agents.

agentctx helps you keep project instructions accurate across tools such as Codex, Claude Code, Gemini CLI, Cursor, and GitHub Copilot. It works locally, uses no LLM API, and has zero runtime dependencies.

Why?

AI coding agents work better when your repository has clear, current, and tool-readable instructions. Many projects now carry several context files:

• AGENTS.md
• CLAUDE.md
• GEMINI.md
• .github/copilot-instructions.md
• .cursor/rules/
• HANDOFF.md

Keeping those files synchronized by hand is easy to forget. Agent Context Doctor scans your repository, reports missing or stale context, generates starter files, safely syncs generated sections, verifies context health in CI, and creates handoff/context packs for the next AI coding session.

Features

• Scan repository context with a readable score and machine-readable JSON.
• Verify in CI with a clear pass/fail command separate from human reports.
• Generate starter files for AGENTS.md, Claude, Gemini, Copilot, Cursor, and handoff notes.
• Safely sync generated sections without deleting user-written content outside markers, including Cursor rules.
• Create handoff summaries from local Git state.
• Package AI-ready context into PROJECT_CONTEXT.md or print it with --stdout.
• Generate score badges for README files.
• Run safe repairs with agentctx doctor --fix.
• Zero runtime dependencies; Python standard library only.

Command	What it does
agentctx scan	🏥 Score your repo's AI context health (0–100)
agentctx verify	✅ CI-friendly pass/fail gate (--min-score, --strict)
agentctx init	📋 Generate AGENTS.md, HANDOFF.md & all tool context files
agentctx sync	🔄 Propagate AGENTS.md updates across CLAUDE.md, GEMINI.md, Copilot, Cursor
agentctx doctor --fix	🩺 Auto-repair all missing/outdated context in one command
agentctx handoff	📝 Session handoff summary from local Git state
agentctx pack	📦 Bundle everything into PROJECT_CONTEXT.md or --stdout
agentctx badge	🏅 Generate a score badge for your README

Installation

From PyPI, once published:

pip install agent-context-doctor

From source:

git clone https://github.com/lamguo/agent-context-doctor.git
cd agent-context-doctor
python -m pip install -e .

Quick start

# Audit the current repository for humans
agentctx scan

# JSON output for scripts
agentctx scan --json

# CI-friendly verification
agentctx verify --min-score 90
agentctx verify --strict

# Generate AGENTS.md and HANDOFF.md if missing
agentctx init

# Generate all supported context files
agentctx init --all

# Sync AGENTS.md into Claude, Gemini, Copilot, and Cursor instruction files
agentctx sync --from AGENTS.md

# Check whether generated files are in sync
agentctx sync --check

# Generate a handoff file from local Git state
agentctx handoff

# Generate PROJECT_CONTEXT.md for a new AI coding session
agentctx pack

# Print the context pack instead of writing it
agentctx pack --stdout

# Generate a README badge
agentctx badge

# Plan/apply safe context repairs
agentctx doctor
agentctx doctor --fix

Example scan output

Agent Context Doctor

Repository: my-project
Score: 82/100 (Good)

Found:
  ✅ README.md
  ✅ AGENTS.md
  ✅ tests/

Missing:
  ⚠️ HANDOFF.md
  ⚠️ GEMINI.md

Problems:
  ⚠️ Missing HANDOFF.md. Long AI coding sessions are easier to resume with a handoff file.
  ⚠️ Missing GEMINI.md.

Suggestions:
  - Run: agentctx init --all
  - Run: agentctx handoff

Commands

agentctx scan

Checks common AI context files, project files, referenced local paths, common project commands, command/config mismatches, AGENTS.md quality sections, and sync markers. It is meant for human-readable reporting and returns zero by default unless --fail-under is used.

agentctx scan
agentctx scan --json
agentctx scan --fail-under 80
agentctx scan --root /path/to/repo

agentctx verify

Runs a CI-friendly verification gate. Unlike scan, this command is intentionally pass/fail.

agentctx verify
agentctx verify --min-score 90
agentctx verify --strict
agentctx verify --json

agentctx init

Creates starter templates. Existing files are skipped by default.

agentctx init
agentctx init --all
agentctx init --dry-run
agentctx init --force

agentctx sync

Copies AGENTS.md into generated sections in tool-specific files. It only replaces content between agentctx markers.

agentctx sync --from AGENTS.md
agentctx sync --to claude --to gemini
agentctx sync --to cursor
agentctx sync --dry-run
agentctx sync --check

agentctx handoff

Creates a handoff file using local Git metadata.

agentctx handoff
agentctx handoff --json
agentctx handoff --output HANDOFF.md

agentctx pack

Creates an AI-ready context package.

agentctx pack
agentctx pack --output PROJECT_CONTEXT.md
agentctx pack --stdout

agentctx badge

Prints a dynamic Markdown badge based on the current context score.

agentctx badge
agentctx badge --style flat-square
agentctx badge --url-only
agentctx badge --json

agentctx doctor

Plans or applies safe automatic repairs. Safe repairs can create missing starter files, generate HANDOFF.md, and create or refresh generated tool files from AGENTS.md. It does not delete files or overwrite user-authored content outside agentctx markers.

agentctx doctor
agentctx doctor --fix
agentctx doctor --json

Generated file safety

agentctx sync uses markers like this:

<!-- agentctx:source AGENTS.md -->
<!-- agentctx:hash abc123 -->
<!-- agentctx:begin -->
Generated content here.
<!-- agentctx:end -->

On later syncs, only the generated block is replaced. Content before or after the markers is preserved.

CI usage

name: CI

on:
  push:
  pull_request:
  workflow_dispatch:

jobs:
  context:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"
      - run: python -m pip install -e .
      - run: agentctx verify --min-score 90
      - run: agentctx sync --check

GitHub setup

After creating the GitHub repository, set the default branch and Topics in the GitHub UI. See docs/github-setup.md.

Recommended Topics:

ai, coding-agents, agents-md, claude-code, gemini-cli, github-copilot, cursor, developer-tools, cli, python

Development

python -m pip install -e .[dev]
pytest
agentctx scan
agentctx verify --min-score 90

Roadmap

• More stale-path and command validation rules.
• Markdown table output option.
• Optional GitHub Action wrapper.
• Config file support for custom scoring thresholds.

Contributing

See CONTRIBUTING.md.

💖 Support

If Agent Context Doctor saves you time, consider supporting the project:

_{微信赞赏码}

License

MIT