rulecheck

Name: rulecheck
Availability: InStock
Author: rsultcoding

Detect and remediate CLAUDE.md rule violations in isolated worktrees.

Updated Mar 20, 2026

Search Tags:#automation #worktree #memory #code-quality #pull-request #safety-hooks #rule-check

Ready to run

npx skills add https://github.com/RsultCoding/rca-archon --skill rulecheck-rsultcoding

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: rulecheck
Source: https://github.com/RsultCoding/rca-archon/tree/main/.claude/skills/rulecheck
Command: npx skills add https://github.com/RsultCoding/rca-archon --skill rulecheck-rsultcoding

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Autonomous rule adherence checker that scans a codebase for violations, fixes the highest-impact issues in an isolated worktree, performs full validation, and creates a PR. It uses memory to track progress across runs to improve future results.

Core Features & Use Cases

Detects CLAUDE.md rule violations across the repository and groups them by impact.
Performs fixes in an isolated worktree, runs full validation, and opens a PR for review.
Uses persistent memory to inform subsequent runs and improve remediation strategies.

Quick Start

Invoke the rulecheck skill with an optional focus area to start autonomous scanning and remediation.

Frequently Asked Questions about rulecheck

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate fixing CLAUDE.md rule violations in my codebase?▼

To automate fixing CLAUDE.md rule violations, the rulecheck skill scans your codebase, groups violations by impact, and applies fixes in an isolated worktree. It then runs full validation and creates a pull request for review.

Can I track code quality remediation progress across multiple automated runs?▼

Yes, you can track code quality remediation progress across multiple runs using persistent memory. The rulecheck skill stores past run data to inform subsequent executions and continuously improve remediation strategies.

How do isolated worktrees improve automated code rule checking safety?▼

Isolated worktrees improve automated code rule checking safety by ensuring fixes are applied in a separate environment. The rulecheck skill performs remediation in this isolated worktree before running validation and opening a pull request.

What is the best way to detect and group code quality violations by impact?▼

The best way to detect and group code quality violations by impact is using an autonomous checker. The rulecheck skill scans the repository for CLAUDE.md rule violations and groups them by impact to prioritize the highest-impact fixes.

Do I need a dedicated agent to run autonomous pull request creation for code fixes?▼

Yes, you need a dedicated agent configured with specific isolation, memory, and background settings to run autonomous pull request creation. The rulecheck skill requires a rulecheck-agent with safety hooks to manage the PR creation workflow.

Why use persistent memory for automated codebase rule checking?▼

Persistent memory is used for automated codebase rule checking to remember past violations and fixes. The rulecheck skill uses this memory to guide future remediation, avoiding repeated mistakes and improving overall code quality outcomes.