agent-readiness

name	agent-readiness
description	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".
compatibility	The agentready CLI, plus git and Python 3. Windows, macOS, Linux.

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

Request	Reference
Assess or improve one repository	references/assessment.md, then references/remediation.md when fixes are requested
Assess all RHDH repositories under a directory	references/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.