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Rules Eval

Community
athola
rules-eval

Evaluate Claude Code rules in .claude/rules/. Use for frontmatter, globs, and quality audits.

Overview

Publisherathola
Repositoryclaude-night-market
Skill namerules-eval
Stars
343
Forks
37
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by athola on GitHub. Read the source before you install it.

Installation

Install the Rules Eval AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/athola/claude-night-market/tree/master/plugins/abstract/skills/rules-eval
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/athola/claude-night-market.git /tmp/claude-night-market
mkdir -p .claude/skills
cp -r /tmp/claude-night-market/plugins/abstract/skills/rules-eval .claude/skills/rules-eval
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rules Eval in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Rules Eval on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Rules Eval is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Rules Evaluation Framework

When NOT To Use

  • Evaluating skills (use abstract:skills-eval)
  • Evaluating hooks (use abstract:hooks-eval)
  • Writing a new rule (use hookify:writing-rules)

Overview

This skill evaluates Claude Code rules in .claude/rules/ directories against quality standards. It validates YAML frontmatter, glob pattern syntax, content quality, and directory organization. Rules files support path-scoped conditional loading via paths frontmatter and unconditional rules (no paths field).

Key validations: YAML syntax errors, unquoted glob patterns, Cursor-specific fields (alwaysApply, globs), overly broad patterns, content verbosity, and naming conventions.

Quick Start

bash
# Evaluate rules in current project
/rules-eval

# Evaluate specific directory
/rules-eval .claude/rules/

# Detailed analysis with recommendations
/rules-eval --detailed

Evaluation Workflow

  1. Scan .claude/rules/ for all .md files (including subdirectories)
  2. Validate YAML frontmatter syntax and fields
  3. Analyze glob patterns for correctness and specificity
  4. Assess content quality (actionable, concise, non-conflicting)
  5. Check organization (naming, structure, symlinks)
  6. Measure token efficiency and redundancy

Scoring

CategoryPointsFocus
Frontmatter Validity25YAML syntax, required fields, correct field names
Glob Pattern Quality20Syntax, specificity, quoting
Content Quality25Actionable, concise, non-conflicting
Organization15Naming, structure, symlink usage
Token Efficiency15Rule size, redundancy detection
ScoreLevel
91-100Excellent - Production-ready
76-90Good - Minor improvements possible
51-75Basic - Needs optimization
26-50Below Standards - Significant issues
0-25Critical - Invalid or broken rules

Resources

Skill-Specific Modules

  • Frontmatter Validation: See modules/frontmatter-validation.md
  • Glob Pattern Analysis: See modules/glob-pattern-analysis.md
  • Content Quality Metrics: See modules/content-quality-metrics.md
  • Organization Patterns: See modules/organization-patterns.md

Tools

  • Rules Validator: scripts/rules_validator.py

Related Skills

  • abstract:skills-eval - Skill evaluation framework
  • abstract:hooks-eval - Hook evaluation framework

Exit Criteria

  • Every .md file under .claude/rules/ (including subdirectories) receives a quality score (0-100) with per-category breakdown across the five dimensions.
  • YAML frontmatter syntax errors and unquoted glob patterns are listed as blocking findings before any score is reported.
  • Rules using Cursor-specific fields (alwaysApply, globs) are flagged as non-compliant with the expected Claude Code schema.
  • Any rule scoring below 26 (Critical tier) is reported with at least one concrete corrective action, not just a score.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Rules Eval AI skill do?

Evaluate Claude Code rules in .claude/rules/. Use for frontmatter, globs, and quality audits.

Why use Rules Eval on TypingMind?

Because you install it once and use it with any model. Rules Eval is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Rules Eval in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/athola/claude-night-market/tree/master/plugins/abstract/skills/rules-eval. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Rules Eval?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Rules Eval?

As many as you like. As long as a model supports skills, you can use Rules Eval with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rules Eval AI skill free?

Yes. It is published on GitHub by athola under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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