codebase-analyzer

A codebase analysis workflow that creates or updates CLAUDE.md files, which store project instructions for coding agents. It examines folders, build tools, tests, and coding patterns to decide where instructions belong.

In plain words
What is it for?
Use it to initialize project memory, create CLAUDE.md, or run an auto-memory setup across applications, libraries, and monorepos—a repository containing multiple related projects.
Why use it?
It turns a project’s structure and conventions into reusable agent guidance instead of requiring the same context to be explained repeatedly.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/severity1/claude-code-auto-memory/codebase-analyzer
Any agent
npx skills add severity1/claude-code-auto-memory --skill codebase-analyzer
Clone the repo
git clone --depth 1 https://github.com/severity1/claude-code-auto-memory

Made for: Claude Code, Codex.

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,545 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00067 $0.01545
Opus 5 $0.00034 $0.00772
Sonnet 5 $0.00013 $0.00309
Haiku 4.5 $0.00007 $0.00154

Measured yesterday against content hash 94066440938e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codebase-analyzer 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 yesterday.

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/codebase-analyzer/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codebase Analyzer

Analyze project structure and generate CLAUDE.md files interactively.

Guidelines

MANDATORY: All rules below must be followed exactly. Violations produce incorrect CLAUDE.md content.

@../shared/references/guidelines.md

Algorithm

1. Check Existing CLAUDE.md

If CLAUDE.md already exists, ask the user how to handle it:

  • Migrate: Convert to auto-managed format (add markers)
  • Backup: Create CLAUDE.md.backup and generate fresh
  • Merge: Keep manual sections, add auto-managed sections
  • Cancel: Abort initialization

2. Scan Directory Structure

Detect frameworks and build systems:

  • package.json - Node.js/JavaScript
  • pyproject.toml, setup.py - Python
  • Cargo.toml - Rust
  • go.mod - Go
  • Makefile - Make-based builds
  • Dockerfile - Container builds

Extract build/test/lint commands from config files.

3. Identify Subtree Candidates

Look for framework boundaries that warrant separate CLAUDE.md files:

  • src/ with 10+ source files
  • lib/ directory
  • packages/* (monorepo packages)
  • apps/* (monorepo applications)

4. Detect Code Patterns

Analyze source files for conventions:

  • Naming: PascalCase, camelCase, snake_case usage
  • Imports: ES6 modules, CommonJS, ordering patterns
  • Architecture: Feature-based, layered, MVC patterns
  • Style: Indentation, quotes, semicolons

5. Fetch Memory Guidelines (Optional)

If network available, fetch from https://code.claude.com/docs/en/memory:

  • Use WebFetch tool
  • Extract relevant sections for context
  • Reference official guidelines above as primary source

6. Present Findings

Use AskUserQuestion to confirm:

  • Detected framework and commands
  • Suggested subtree locations
  • Detected patterns

7. Generate Memory Files

Read .claude/auto-memory/config.json to determine which files to generate based on memoryFiles:

memoryFiles value Files to generate
absent or ["CLAUDE.md"] CLAUDE.md only (full content)
["AGENTS.md"] AGENTS.md only (full content)
["CLAUDE.md", "AGENTS.md"] AGENTS.md (full content) + CLAUDE.md (redirect)

Read the full file on GitHub · 179 lines

Files

What ships with it

5 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. yesterday First seen · 179 lines · 67 tokens per session scan A 94066440938e

Subscribe to this mod's changes

codebase-analyzer is a skill published in the GitHub repository severity1/claude-code-auto-memory (157 stars, last pushed 4mo ago), licensed MIT. It adds 67 tokens to every session and 1,545 once invoked, about $0.0003 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 2026-08-30.

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