f

f / check-ai

Public

Audit any repository for AI-readiness.

agents ai-readiness
45
1
100% credibility
Found Feb 17, 2026 at 35 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

check-ai is a scanning tool that assesses software projects for compatibility with AI coding assistants by looking for helpful files, documents, tests, and setups, then gives a detailed readiness score.

How It Works

1
🔍 Find the AI Checker

You come across a handy tool that checks if your project is ready for smart AI helpers to work on it smoothly.

2
📁 Select Your Project

You pick the folder containing your work, like your code or files you want to review.

3
🚀 Launch the Quick Scan

With a simple one-click start, the tool begins looking over your project for all the right setups.

4
⏳ See the Progress

A colorful bar fills up live, showing checks on your notes, safety tests, and helper guides.

5
📊 Receive Your Report

Your score pops up, like 7.8 out of 10, with fun bars, grades, and friendly tips on improvements.

✅ Boost Your Project

You now have a clear plan to make your project fully welcoming for AI assistants and get great results.

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Star Growth

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AI-Generated Review

What is check-ai?

check-ai is a JavaScript CLI tool that lets you audit any repository for AI-readiness via a single `npx check-ai` command. It scans for 66 checks across repo hygiene, grounding docs, testing setups, agent configs like Cursor or Claude, prompts, MCP integrations, and AI dependencies, then scores everything 0-10 with section breakdowns. Developers get instant feedback on whether their repo is primed for AI agents, no setup required.

Why is it gaining traction?

Zero dependencies and offline operation mean it runs anywhere, piping JSON output to dashboards or failing CI if scores dip below 3/10—perfect for audit github actions. The hook is its deep scans for tool-specific files (Windsurf rules, Aider configs) plus content quality analysis, surfacing real gaps like missing AGENTS.md without false positives. Beats basic linters by focusing on AI-specific signals devs notice daily.

Who should use this?

Team leads prepping repos for AI tools like check ai github before agent rollouts. Open-source maintainers auditing hygiene and prompts for contributor efficiency. CI engineers enforcing standards in pipelines for projects using Claude Code or Copilot.

Verdict

Solid for quick check ai scans, but 31 stars and 1.0% credibility score signal early maturity—docs are strong, yet expect tweaks for edge cases. Run it now via npx for baseline audits; revisit in a few months as it grows.

(182 words)

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