oat-agent-instructions-analyze

What problem does it solve?

This Skill identifies gaps in agent instruction file coverage, evaluates their quality, and detects drift, ensuring your AI agents have clear, accurate, and comprehensive guidance.

Core Features & Use Cases

• Coverage Assessment: Scans directories to ensure all relevant areas are covered by instruction files.
• Quality Evaluation: Checks instruction files against a defined quality checklist for clarity, correctness, and adherence to best practices.
• Drift Detection: Identifies inconsistencies between instruction files and the current state of the repository, especially in delta analysis modes.
• Use Case: Before deploying new agent features, run this Skill to proactively find and fix any missing or low-quality instructions, preventing agent errors and improving reliability.

Quick Start

Analyze the quality and coverage of agent instructions in the current repository.