Agent-Ready Repo Auditor
A free CLI and GitHub Action that checks public repositories for the instructions and workflow evidence AI coding agents need, without cloning or running repository code.

Project links
Visit the project or open related ProjectRadar pages.
Structured discovery note
Quick read before the full note
A compact read on the project, its public context, and any feedback included with this note.
- Product
- Agent-Ready Repo Auditor
- Category
- Developer Tools
- Stage
- Public launch
- Overall Signal
- Not included in this note.
- Public Context Check
- This note reflects visible public repository evidence. ProjectRadar did not treat the audit score as proof of code quality, security, compliance, or autonomous readiness.
- Founder Feedback
- A strong score cannot prove code quality, security, compliance, or operational readiness.
Long-form Project Note
A closer look at Agent-Ready Repo Auditor
Agent-Ready Repo Auditor is an open-source, deterministic checker for public GitHub repositories. It looks for written instructions, issue intake, verification commands, and other visible evidence that can help Codex, Claude Code, Copilot, and Cursor work with fewer guesses.
This note reflects a first-time user perspective.
What caught my eye
Repository readiness for AI agents is usually discussed in vague terms. This tool makes the question concrete by showing what documentation and workflow evidence it can actually find. The resulting score is useful as a checklist, but it does not measure code quality, security, compliance, or whether a repository is safe for autonomous changes.
How Agent-Ready Repo Auditor works
The tool runs as a CLI or GitHub Action. It reads a bounded set of public GitHub data and creates an agent-ready-audit.md report.
GitHub Actions users also get a workflow summary plus score, band, report-path, and revision outputs for later steps. The tool does not clone or execute repository code. Missing, private, inaccessible, or truncated repositories fail closed instead of receiving a partial score.
Who might find it useful
Maintainers who want a repeatable first check of their repository instructions, contributor intake, and verification evidence.
It can point out documentation gaps before people or agents start making changes. A human maintainer still has to decide what the findings mean and what to fix.
Closing context
This is a practical checklist for a problem that often gets hand-waved. It shows whether the basic written signals are present, then gets out of the way.
Treat the score as a prompt for maintenance work, not as a quality grade or permission to let an agent run unattended.
Project note details
Dates and editorial links
Published
July 21, 2026
Updated
August 28, 2026
Page type
Public project page
Status
Published note
Launch visibility
Note history
Publication and substantive update dates for this public note.
- Jul 21, 2026
- Project note published.
- Aug 28, 2026
- Project note updated after new public context or editorial cleanup.
- Jul 20, 2026
- Public-page information added to the note.
Keep exploring
Related notes

SayCraft
A meeting-based builder that turns live or recorded product conversations into web-app prototypes.

AgentMatter
A bilingual directory of public GitHub resources for AI agents, with repository, ownership, license, and installation context.

SEMAPRAX
SEMAPRAX explores coding-agent changes built on stable declaration IDs, typed program context, and revision checks.
Get on the radar
Built something useful? Submit your project or AI skill.
Submit an app, website, AI tool, coding agent, reusable skill, SaaS product, calculator, creator tool, or useful side project for Project Note consideration. Submission does not guarantee publication.
Submit a project or skill