init

A project-onboarding skill that scans a codebase and creates a customized CLAUDE.md instruction file. CLAUDE.md tells an AI coding assistant about the project's stack, tests, commands, folders, and conventions.

In plain words
What is it for?
Use it when starting work in an unfamiliar project or when setting up Claude instructions for a Node.js, Python, Go, Rust, Ruby, Java, Kotlin, or Swift project.
Why use it?
It turns project structure and existing development habits into written guidance for future coding sessions.

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/brolag/neural-claude-code/init
Any agent
npx skills add brolag/neural-claude-code --skill init
Clone the repo
git clone --depth 1 https://github.com/brolag/neural-claude-code

Made for: Claude Code, Codex.

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 601 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 $0.00048 $0.00601
Opus 5 $0.00024 $0.00300
Sonnet 5 $0.00010 $0.00120
Haiku 4.5 $0.00005 $0.00060

Measured 2d ago against content hash e46182752b23, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

init 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 2d 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/init/SKILL.md · 68 lines

What it actually says

/init — Generate Project CLAUDE.md

Scan the current project and generate a CLAUDE.md tailored to its stack and conventions.

Steps

1. Detect Stack

Check for these files (in order):

  • package.json → Node.js (check for next, react, vue, angular, etc.)
  • pyproject.toml or requirements.txt → Python
  • go.mod → Go
  • Cargo.toml → Rust
  • Gemfile → Ruby
  • pom.xml or build.gradle → Java/Kotlin
  • Package.swift → Swift

Read the detected config file to identify:

  • Language and framework
  • Test command (from scripts or conventions)
  • Lint command
  • Build command

2. Map Key Directories

Run ls at project root. Identify:

  • Source code directory (src/, app/, lib/, etc.)
  • Test directory (test/, tests/, tests/, spec/)
  • Config files (tsconfig, eslint, prettier, etc.)
  • API routes or endpoints

3. Check Existing Conventions

  • git log --oneline -10 — commit message style
  • Check for existing CLAUDE.md, .cursorrules, .github/copilot-instructions.md
  • Check for existing .editorconfig, prettier, eslint configs

4. Generate CLAUDE.md

Read the template from the neural-claude-code install directory. Replace placeholders:

  • {{PROJECT_NAME}} — from package.json name or directory name
  • {{STACK_DESCRIPTION}} — detected stack summary
  • {{LANGUAGE}} — primary language
  • {{TEST_COMMAND}} — detected test command or "npm test"
  • {{LINT_COMMAND}} — detected lint command or "npm run lint"
  • {{DIRECTORY_MAP}} — key directories found

Write to CLAUDE.md in project root.

5. Report

Generated CLAUDE.md for [project name]
  Stack: [detected stack]
  Tests: [test command]
  Lint: [lint command]

Review CLAUDE.md and adjust as needed.

Notes

  • If CLAUDE.md already exists, ask before overwriting
  • If stack can't be detected, generate a minimal template and ask user to fill in
  • Never add secrets, API keys, or personal data to CLAUDE.md
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. 2d ago First seen · 68 lines · 48 tokens per session scan A e46182752b23

Subscribe to this mod's changes

init is a skill published in the GitHub repository brolag/neural-claude-code (11 stars, last pushed 12d ago), licensed MIT. It adds 48 tokens to every session and 601 once invoked, about $0.0002 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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