superduck-ai

A vendor-free implementation of the Factory droid skill โ€” runs in any coding agent

15
1
100% credibility
Found May 11, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

An auditing tool that scores software repositories on 82 criteria across 9 categories for AI agent collaboration readiness, generating JSON reports, score histories, and an interactive HTML dashboard.

How It Works

1
๐Ÿ” Discover the checker

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

2
๐Ÿ“ Add to your AI helper

You simply place the checker folder where your AI assistant looks for new skills, like adding a new recipe to your cookbook.

3
๐Ÿ’ฌ Ask your AI to scan

In your project folder, you tell your AI helper to run the readiness check on your work.

4
๐Ÿ“Š See your dashboard

A colorful webpage pops up showing your project's score, strong and weak areas, and progress over time.

5
๐Ÿ”ง Spot fixes needed

Easy buttons guide you to copy suggestions for quick improvements in weak spots.

๐Ÿš€ Project is AI-ready

Your project now shines with top scores, letting AI helpers contribute confidently while you watch improvements grow.

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AI-Generated Review

What is agent-readiness?

Agent-readiness delivers a vendor-free TypeScript implementation of the Factory agent readiness framework, running as a portable skill in any coding agent. Drop it into your skills directory, invoke via slash command or prompt reference, and it scans your git repo against an 82-criteria agent readiness checklist across 9 categories like style, build, testing, and security. You get JSON reports, persistent readiness scores with history, and an interactive HTML dashboard showing trends, pass rates, and one-click fix prompts.

Why is it gaining traction?

Unlike vendor-tied tools like the Microsoft agent readiness framework, this runs anywhere without dependencies beyond Node.jsโ€”pure self-contained CLI for validation, scoring, and dashboard generation. Developers love the radar charts for weak categories, level-over-time trends from repo history, and copyable remediation prompts that turn audits into PR-ready tasks. It's the open agent readiness droid factory devs actually deploy.

Who should use this?

Repo maintainers auditing agent readiness for AI coding agents in monorepos. DevRel engineers evaluating skills integration or autonomous workflows. Teams needing an agent readiness score and report to benchmark security, observability, and task discovery before scaling droid usage.

Verdict

Grab it for quick agent readiness audits if you're experimenting with coding agentsโ€”CLI outputs make it dead simple to track progress. 15 stars and 1.0% credibility score reflect early days, but strong docs, bilingual READMEs, and full test coverage suit pioneer teams.

(198 words)

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