bulk-rule-reviewer

Review all rule files and generate a prioritized improvement report.

7|1|Updated Oct 31, 2025
One-click install
npx skills add https://github.com/sfc-gh-myoung/ai_coding_rules --skill bulk-rule-reviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bulk-rule-reviewer
Source: https://github.com/sfc-gh-myoung/ai_coding_rules/tree/main/skills/bulk-rule-reviewer
Command: npx skills add https://github.com/sfc-gh-myoung/ai_coding_rules --skill bulk-rule-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rule-reviewer.

What problem does it solve?

Bulk-rule-reviewer provides a rigorous, one-rule-at-a-time review workflow that ensures every rule file is analyzed against full rubrics, producing per-rule reviews and a consolidated master report to support governance and quality improvements.

Core Features & Use Cases

  • One-rule-at-a-time thorough reviews for each rule file, ensuring evidence-based scoring against a fixed rubric
  • Progressive rubric loading and deterministic outputs, enabling consistent reviews across large rule sets
  • Resume capability via skip_existing so interrupted sessions can restart without rework
  • Parallel sub-agents option for large rule sets to reduce wall-clock time while preserving per-rule isolation
  • Master summary report generation with prioritized improvement recommendations to guide product and engineering teams
  • Robust error handling and audit-ready outputs for governance and compliance

Quick Start

Load the SKILL.md content from this skill and invoke the bulk-rule-reviewer to begin a FULL bulk review of all rule files in the rules/ directory.

Frequently Asked Questions about bulk-rule-reviewer

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

FAQPage Schema
How do I automate bulk quality reviews for all rule files and generate a prioritized report?

Bulk rule reviews automate end-to-end quality evaluation of all rule files against formal rubrics, producing per-rule reviews and a consolidated master report with prioritized improvement recommendations for engineering teams.

What is the best way to handle interrupted bulk rule reviews without reprocessing completed rules?

Bulk rule reviews support resume capability via skip_existing, allowing interrupted sessions to restart without rework by skipping existing reviews and continuing the one-rule-at-a-time evaluation process.

Can I use parallel sub-agents to reduce wall-clock time when reviewing large rule sets?

Parallel sub-agents are supported for large rule sets to reduce wall-clock time while preserving per-rule isolation, ensuring each rule file is still analyzed individually against full rubrics.

How does one-rule-at-a-time processing ensure consistent quality audits across large rule sets?

One-rule-at-a-time processing enforces thorough evaluation by loading rubrics progressively and applying deterministic scoring to each rule file, ensuring consistent evidence-based reviews across the entire rule set.

Does bulk rule review require a dependency on the rule-reviewer skill to function?

Bulk rule review depends on the rule-reviewer skill to execute per-rule evaluations, coordinating its discovery and evaluation logic to generate both individual rule outputs and the master summary report.

When should I use bulk rule reviews for quarterly audits and technical debt tracking?

Bulk rule reviews are suited for quarterly audits, release validation, and technical debt tracking, providing audit-ready outputs and prioritized improvement recommendations to support governance and compliance.