Dallionking

Dallionking / agent-dna-auditor

Public

Scan your AI coding agents, classify ideology vs framework skills, embed DNA directly into agent definitions

16
0
100% credibility
Found Mar 25, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A Claude Code skill that audits AI agent definitions to classify core methodologies as permanent DNA and project-specific knowledge as invocable skills, then optionally rewrites the definitions accordingly.

How It Works

1
🕵️ Discover the Auditor

While building your team of AI coding helpers, you find a tool that separates their core thinking styles from project-specific know-how.

2
📥 Add to Your Workspace

You easily add this auditing tool to your AI setup, either for all your projects or just the one you're working on.

3
🗣️ Start the Audit

In your chat with the AI, you simply say 'audit my agents' and it gets to work right away.

4
🔍 See the Breakdown

The tool scans your AI helpers' instructions and clearly shows which parts are timeless wisdom (DNA) and which are swap-out tips for different projects.

5
📊 Review the Report

You get a neat summary table for each helper, spotting what's embedded forever and what can change per job.

6
✅ Approve and Update

You give the okay, and it safely rewrites your helpers with core smarts baked in and skills ready to invoke when needed.

🎉 Smarter AI Team

Your AI helpers now carry their expert thinking everywhere, staying lean and adaptable to any project.

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Star Growth

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AI-Generated Review

What is agent-dna-auditor?

Agent-dna-auditor is a Claude Code skill that acts as a coding scan tool for your AI coding agents: it scans agent definitions, classifies permanent ideology and methodology (DNA) from project-specific framework skills, and optionally rewrites them with DNA embedded and skills as invokable references. This solves prompt bloat, poor portability across projects, and buried best practices in flat system prompts. Users get a report, gap analysis against best practices, and cleaner agents via simple voice commands like "audit my agents."

Why is it gaining traction?

It stands out by treating agents like senior engineers—DNA for timeless thinking (Clean Architecture, security-first), skills for stack specifics ($supabase, $langchain)—making them reusable without manual edits. The hook is the audit report with before/after examples, optional research for missing DNA via EXA, and safe rewrites after approval, unlike generic prompt tools or scanners focused on scan github for malware or vulnerabilities. Developers notice leaner prompts and portable expertise instantly.

Who should use this?

Backend and frontend devs building AI agent teams in Claude Code, especially those juggling multiple projects with shifting stacks like Supabase to Drizzle. Orchestrator agents or lead engineers tired of bloated prompts will love the behavioral strands for session hygiene and delegation. Teams scanning agent repos for consistency before deployment.

Verdict

Worth cloning for Claude Code users experimenting with agent fleets—solid docs and mental model despite 16 stars and 1.0% credibility score signaling early maturity. Test on a small set first; it's raw but fixes real pains in agent design.

(187 words)

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