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bulk-rule-reviewer

bulk-rule-reviewer is a skill for Claude Code, Codex from sfc-gh-myoung/ai_coding_rules. It costs 21 tokens per session (3,571 once invoked), scanned A, original, Apache-2.0.

A review tool for examining every rule file in a rules/ directory from the viewpoint of an autonomous coding agent. It produces a combined report that ranks improvements by priority.

In plain words
What is it for?
Use it for full or focused rule-quality reviews, staleness checks, baseline measurements, and pre-release validation. It can also review only files matching a pattern.
Why use it?
It helps find rules that are unclear, outdated, incomplete, or difficult for an agent to follow. This supports regular audits, release checks, and technical-debt planning.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

not rated 7repo 1mo ago A scan 21 tokens original Apache-2.0

Good fit Use it for full or focused rule-quality reviews, staleness checks, baseline measurements, and pre-release validation. It can also review only files matching a pattern.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sfc-gh-myoung/ai_coding_rules/bulk-rule-reviewer
View source ↗ sfc-gh-myoung/ai_coding_rules
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add sfc-gh-myoung/ai_coding_rules --skill bulk-rule-reviewer
Clone the repo
git clone --depth 1 https://github.com/sfc-gh-myoung/ai_coding_rules

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for bulk-rule-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/sfc-gh-myoung/ai_coding_rules/bulk-rule-reviewer/github.svg)](https://agentmods.dev/skills/sfc-gh-myoung/ai_coding_rules/bulk-rule-reviewer)
Your own site
<a href="https://agentmods.dev/skills/sfc-gh-myoung/ai_coding_rules/bulk-rule-reviewer"><img src="https://agentmods.dev/badge/skills/sfc-gh-myoung/ai_coding_rules/bulk-rule-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for bulk-rule-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/sfc-gh-myoung/ai_coding_rules/bulk-rule-reviewer"><img src="https://agentmods.dev/badge/skills/sfc-gh-myoung/ai_coding_rules/bulk-rule-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,571 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.03571
Opus 5 $0.00010 $0.01785
Sonnet 5 $0.00004 $0.00714
Haiku 4.5 $0.00002 $0.00357

Measured 11d ago against content hash cc96624a201b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

bulk-rule-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/bulk-rule-reviewer/SKILL.md · 328 lines

How it starts

The opening of the file, as written. The whole thing — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bulk Rule Reviewer

Purpose

Execute comprehensive agent-centric reviews on all rule files in rules/ directory, then generate consolidated priority report. Designed for periodic quality audits, pre-release validation, and technical debt tracking.

Use this skill when

  • Periodic quality audits (quarterly/monthly)
  • Pre-release validation before major version releases
  • Technical debt tracking and prioritization
  • Baseline quality measurement for improvement initiatives

Inputs

Required:

  • review_date: YYYY-MM-DD (default: today)
  • review_mode: FULL | FOCUSED | STALENESS (default: FULL)
  • model: Lowercase-hyphenated slug (default: claude-sonnet-45)

Optional:

  • filter_pattern: Glob pattern (default: rules/*.md)
    • Examples: rules/100-*.md (Snowflake only), rules/*-core.md (cores only)
  • skip_existing: Boolean (default: true) - Resume capability
  • overwrite: Boolean (default: false) - If true, overwrite existing review files. If false, use sequential numbering (-01, -02, etc.) for conflicts
  • max_parallel: Integer 1-10 (default: 5) - Concurrent sub-agent workers. Set to 1 for sequential execution (legacy behavior)
  • output_root: Root directory for output files (default: reviews/). Subdirectories rule-reviews/ and summaries/ appended automatically. Supports relative paths including ../.
  • timing_enabled: true | false (default: true — v2.4.0 universal default; set false to opt out; per-rule reviews use not-requested row)

Outputs

Individual reviews: {output_root}/rule-reviews/<rule-name>-<model>-<date>.md (up to 187 files)

Master summary: {output_root}/summaries/_bulk-review-<model>-<date>.md with sections:

(Default output_root: reviews/. With output_root: mytest/ → mytest/rule-reviews/... and mytest/summaries/...)

  1. Executive Summary (score distribution, dimension analysis)
  2. Priority 1: Urgent (score <50, NOT_EXECUTABLE)
  3. Priority 2: High (score 50-74, NEEDS_REFINEMENT)
  4. Priority 3: Medium (score 75-89, EXECUTABLE_WITH_REFINEMENTS)
  5. Priority 4: Excellent (score 90-100, EXECUTABLE)
  6. Failed Reviews (execution errors)
  7. Top 10 Recommendations (impact × effort prioritization)
  8. Next Steps (immediate/short-term/long-term)
  9. Appendix: All Rules by Score (sorted table)

Read the full file on GitHub · 328 lines

Files

What ships with it

21 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 328 lines · 21 tokens per session scan A cc96624a201b

Subscribe to this mod's changes

bulk-rule-reviewer is a skill published in the GitHub repository sfc-gh-myoung/ai_coding_rules (7 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 3,571 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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