deepinit

A codebase documentation setup that creates AGENTS.md files throughout a project. These files tell coding agents what each directory contains, how parts relate, and which local instructions apply.

In plain words
What is it for?
Documenting a new or unfamiliar repository, recording directory responsibilities, listing important files, and providing local development instructions.
Why use it?
It removes the need for an agent to infer the project structure and rules from scratch. The linked files let guidance become more specific as the agent moves into deeper directories.

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/yeachan-heo/oh-my-claudecode/deepinit
Any agent
npx skills add Yeachan-Heo/oh-my-claudecode --skill deepinit
Clone the repo
git clone --depth 1 https://github.com/Yeachan-Heo/oh-my-claudecode

Made for: Claude Code, Codex.

Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,947 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 $0.00013 $0.01947
Opus 5 $0.00006 $0.00974
Sonnet 5 $0.00003 $0.00389
Haiku 4.5 $0.00001 $0.00195

Measured yesterday against content hash 99d13c92dfcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deepinit 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/deepinit/SKILL.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Init Skill

Creates comprehensive, hierarchical AGENTS.md documentation across the entire codebase.

Core Concept

AGENTS.md files serve as AI-readable documentation that helps agents understand:

  • What each directory contains
  • How components relate to each other
  • Special instructions for working in that area
  • Dependencies and relationships

Hierarchical Tagging System

Every AGENTS.md (except root) includes a parent reference tag:

<!-- Parent: ../AGENTS.md -->

This creates a navigable hierarchy:

/AGENTS.md                          ← Root (no parent tag)
├── src/AGENTS.md                   ← <!-- Parent: ../AGENTS.md -->
│   ├── src/components/AGENTS.md    ← <!-- Parent: ../AGENTS.md -->
│   └── src/utils/AGENTS.md         ← <!-- Parent: ../AGENTS.md -->
└── docs/AGENTS.md                  ← <!-- Parent: ../AGENTS.md -->

AGENTS.md Template

<!-- Parent: {relative_path_to_parent}/AGENTS.md -->
<!-- Generated: {timestamp} | Updated: {timestamp} -->

# {Directory Name}

## Purpose
{One-paragraph description of what this directory contains and its role}

## Key Files
{List each significant file with a one-line description}

| File | Description |
|------|-------------|
| `file.ts` | Brief description of purpose |

## Subdirectories
{List each subdirectory with brief purpose}

| Directory | Purpose |
|-----------|---------|
| `subdir/` | What it contains (see `subdir/AGENTS.md`) |

## For AI Agents

### Working In This Directory
{Special instructions for AI agents modifying files here}

### Testing Requirements
{How to test changes in this directory}

### Common Patterns
{Code patterns or conventions used here}

## Dependencies

### Internal
{References to other parts of the codebase this depends on}

### External
{Key external packages/libraries used}

<!-- MANUAL: Any manually added notes below this line are preserved on regeneration -->

Execution Workflow

Step 1: Map Directory Structure

Task(subagent_type="explore", model="haiku",
  prompt="List all directories recursively. Exclude: node_modules, .git, dist, build, __pycache__, .venv, coverage, .next, .nuxt")

Read the full file on GitHub · 322 lines

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 · 322 lines · 13 tokens per session scan A 99d13c92dfcc

Subscribe to this mod's changes

deepinit is a skill published in the GitHub repository Yeachan-Heo/oh-my-claudecode (38,897 stars, last pushed yesterday), licensed MIT. It adds 13 tokens to every session and 1,947 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 2026-08-30.

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