agentleFS
redhat-developerredhat-developer/rhdh-skills/skills/meta/agent-readiness/SKILL.md

agent-readiness

Skill20 starsChanged 20 days agoApache-2.0View on GitHub

Assesses and improves a git repository's readiness for AI coding agents with the agentready tool, and reports the score, the certification level, the failing findings, and where the report was written. Covers one repository or every RHDH repository under a directory, and applies the fixes the report supports. Use for "assess agent readiness", "run agentready", "improve our agent readiness score", "prepare this repository for coding agents", or "assess all the RHDH repositories".

6 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use an agentready report as the source of truth for repository-readiness work.

    line 16
  2. Distinctive:

    Write assessment output to the OS temporary directory so reports never pollute the target repository.

    line 22
  3. Distinctive:

    Treat a fresh post-change assessment as the completion criterion for every remediation run.

    line 29
  4. Distinctive:

    When no path or mode is given, recommend the current repository as the default and offer batch assessment as the alternative.

    line 39

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

RHDH Agent Readiness

Use an agentready report as the source of truth for repository-readiness work. The skill supports any git repository and adds RHDH context when the repository belongs to the RHDH ecosystem.

Principles

  • Write assessment output to the OS temporary directory so reports never pollute the target repository.
  • Apply only fixes supported by the report. Ask for project-specific facts; never invent architecture or design rationale.
  • For a recognized RHDH repository, use /rhdh-context for repository ownership, technology, key paths, and conventions. Continue generically when RHDH context is unavailable.
  • Treat a fresh post-change assessment as the completion criterion for every remediation run.

Route the request

RequestReference
Assess or improve one repositoryreferences/assessment.md, then references/remediation.md when fixes are requested
Assess all RHDH repositories under a directoryreferences/batch.md

When no path or mode is given, recommend the current repository as the default and offer batch assessment as the alternative.

Completion

  • Assessment-only work is complete when the current score, certification, failing findings, and report location have been presented.
  • Remediation work is complete when a fresh assessment shows the before/after result and every remaining failure is identified as unresolved, deferred, or inapplicable.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.