Review AI rules files and produce a five-part scorecard.
npx skills add https://github.com/Skaz7/10xDevs --skill 10x-rule-review-skaz7
Please help me install this Agent Skill. Skill: 10x-rule-review Source: https://github.com/Skaz7/10xDevs/tree/main/10xdevs3-artifacts-m1/claude-code/m1l4/skills/10x-rule-review Command: npx skills add https://github.com/Skaz7/10xDevs --skill 10x-rule-review-skaz7
This Skill audits AI instruction files such as CLAUDE.md, AGENTS.md, Copilot instructions, and similar rule documents so you can quickly see whether they are too long, vague, redundant, snippet-heavy, or poorly ordered for reliable agent behavior.
Ask the skill to review your AI rules file by providing the path to a single markdown-based rules document such as CLAUDE.md or AGENTS.md.
High-intent search queries and answers about installing and using this skill.
To audit an AGENTS.md file, review its length, embedded snippets, precise language, redundant knowledge, and section ordering. This five-part scorecard identifies exact file locations and recommends concrete rewrites or structural moves to improve agent compliance.
The best way to review CLAUDE.md rules is to run a five-part health check covering length, snippet usage, language precision, redundant knowledge, and section ordering. This pinpoints duplicated framework advice and prioritizes edits most likely to improve agent behavior.
Yes, the AI rules review works with Copilot instruction files, Windsurf rules, .cursor rule files, AGENTS.md, and CLAUDE.md. It requires passing the path to a single markdown-based agent instruction document for full-file reading and line-referenced findings.
Fix a poorly ordered AI rules file by mapping its heading structure to identify buried critical rules. You can apply a safe reorder flow that preserves content while improving model attention, requiring an approval gate before any section reordering edit is executed.
AI agents often ignore instructions when rules files are too long, vague, snippet-heavy, redundant, or poorly ordered. Auditing the file for precise language and structural issues helps identify duplicated framework advice and weak spots that reduce reliable agent behavior.
VamdawnReview documents and report issues in a markdown table.
swat9013Analyze Claude context files and provide actionable improvement suggestions.
z1439527767Evaluate and benchmark LLM agents for reliability and behavioral quality.
is-ivanovScans prompt and documentation files for structural issues and refactors them according to rule-based validation requirements.
