claude-md-improver

claude-md-improver is a skill for Claude Code, Codex from SocialGouv/claw-code-go. It costs 82 tokens per session (1,482 once invoked), scanned A, a copy of claude-md-improver, MIT.

A tool for reviewing and improving CLAUDE.md files, which are instruction files that give Claude Code project-specific guidance. It finds these files, assesses their quality, reports issues, and can apply approved targeted updates.

In plain words
What is it for?
Use it to audit project instructions, including package-specific files in a monorepo, and improve them after reviewing the quality report.
Why use it?
It helps keep the instructions an AI coding assistant relies on accurate, complete, and useful across a repository.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is #### 2. ./packages/api/CLAUDE.md (Package-specific).

Good fit Use it to audit project instructions, including package-specific files in a monorepo, and improve them after reviewing the quality report.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/SocialGouv/claw-code-go
agentmods
npx agentmods add skills/socialgouv/claw-code-go/claude-md-improver

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 claude-md-improver

README.md
[![agentmods](https://agentmods.dev/badge/skills/socialgouv/claw-code-go/claude-md-improver/github.svg)](https://agentmods.dev/skills/socialgouv/claw-code-go/claude-md-improver)
Your own site
<a href="https://agentmods.dev/skills/socialgouv/claw-code-go/claude-md-improver"><img src="https://agentmods.dev/badge/skills/socialgouv/claw-code-go/claude-md-improver/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 claude-md-improver

Your own site · 80×15
<a href="https://agentmods.dev/skills/socialgouv/claw-code-go/claude-md-improver"><img src="https://agentmods.dev/badge/skills/socialgouv/claw-code-go/claude-md-improver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,482 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 100% copy Near-identical to another mod 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 $0.00082 $0.01482
Opus 5 $0.00041 $0.00741
Sonnet 5 $0.00016 $0.00296
Haiku 4.5 $0.00008 $0.00148

Measured 8d ago against content hash b06c7420be08, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

claude-md-improver 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 8d 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.

Origin

This is a copy

100% identical to claude-md-improver — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

internal/tools/bundled_skills/claude-md-management/skills/claude-md-improver/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md Improver

Audit, evaluate, and improve CLAUDE.md files across a codebase to ensure Claude Code has optimal project context.

This skill can write to CLAUDE.md files. After presenting a quality report and getting user approval, it updates CLAUDE.md files with targeted improvements.

Workflow

Phase 1: Discovery

Find all CLAUDE.md files in the repository:

find . -name "CLAUDE.md" -o -name ".claude.md" -o -name ".claude.local.md" 2>/dev/null | head -50

File Types & Locations:

Type Location Purpose
Project root ./CLAUDE.md Primary project context (checked into git, shared with team)
Local overrides ./.claude.local.md Personal/local settings (gitignored, not shared)
Global defaults ~/.claude/CLAUDE.md User-wide defaults across all projects
Package-specific ./packages/*/CLAUDE.md Module-level context in monorepos
Subdirectory Any nested location Feature/domain-specific context

Note: Claude auto-discovers CLAUDE.md files in parent directories, making monorepo setups work automatically.

Phase 2: Quality Assessment

For each CLAUDE.md file, evaluate against quality criteria. See references/quality-criteria.md for detailed rubrics.

Quick Assessment Checklist:

Criterion Weight Check
Commands/workflows documented High Are build/test/deploy commands present?
Architecture clarity High Can Claude understand the codebase structure?
Non-obvious patterns Medium Are gotchas and quirks documented?
Conciseness Medium No verbose explanations or obvious info?
Currency High Does it reflect current codebase state?
Actionability High Are instructions executable, not vague?

Quality Scores:

  • A (90-100): Comprehensive, current, actionable
  • B (70-89): Good coverage, minor gaps
  • C (50-69): Basic info, missing key sections
  • D (30-49): Sparse or outdated
  • F (0-29): Missing or severely outdated

Read the full file on GitHub · 180 lines

Files

What ships with it

3 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. 8d ago First seen · 180 lines · 82 tokens per session scan A b06c7420be08

Subscribe to this mod's changes

claude-md-improver is a skill published in the GitHub repository SocialGouv/claw-code-go (6 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 1,482 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to claude-md-improver, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens