init-project

init-project is a skill for Claude Code, Codex from escapeboy/ai-prompts. It costs 23 tokens per session (1,591 once invoked), scanned A, original, MIT.

A one-time setup skill for preparing a new project for Claude Code, an AI coding assistant. It examines the project, records useful project knowledge, creates shared rules, and configures the assistant.

In plain words
What is it for?
Use it when starting regular work on a new codebase and want its technology, conventions, and architecture documented for Claude Code. After setup, use the project's context and optimization commands for later work.
Why use it?
It avoids repeating the same project discovery and setup in later sessions. It is intended for projects you will return to, not one-off experiments.

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.

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/escapeboy/ai-prompts/init-project
Any agent
npx skills add escapeboy/ai-prompts --skill init-project
Clone the repo
git clone --depth 1 https://github.com/escapeboy/ai-prompts

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 init-project

README.md
[![agentmods](https://agentmods.dev/badge/skills/escapeboy/ai-prompts/init-project.svg)](https://agentmods.dev/skills/escapeboy/ai-prompts/init-project)
Your own site
<a href="https://agentmods.dev/skills/escapeboy/ai-prompts/init-project"><img src="https://agentmods.dev/badge/skills/escapeboy/ai-prompts/init-project.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,591 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 5.1 $0.00023 $0.01591
Opus 5 $0.00012 $0.00796
Sonnet 5 $0.00005 $0.00318
Haiku 4.5 $0.00002 $0.00159

Measured 6d ago against content hash a5902e04be65, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

init-project 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 6d 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.

01-global-optimization/skills/init-project/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/init-project — Project Initialization

Sets up Claude Code optimization for a new project in 10-15 minutes. Detects the tech stack, fetches best practices, creates Serena memories, generates a project constitution, and configures optimization settings.

Run once per project. After init, use /optimize and /context load for all subsequent work.

When to Use This Skill (and When NOT to)

Use this skill for Use a simpler approach for
A project you'll work in repeatedly and want optimized from the start A repo you'll touch once — just read what you need and go
First-time setup of Serena memories + constitution + optimization config Re-running work on an already-initialized project — use /context load + /optimize instead
A codebase whose conventions/architecture Claude should learn once and reuse Adding a single memory or tweaking one setting — edit the file directly
Standing up the .claude/ + .serena/ scaffold in a fresh clone A throwaway spike or scratch directory

Start simple. Reach for this skill only when the project is one you'll return to and the up-front setup pays back across many sessions. Run it once per project — it is initialization, not a per-session command.

Usage

/init-project [action] [options]

Quick Examples

/init-project --full            # Complete initialization (recommended)
/init-project detect            # Just detect the stack
/init-project fetch rails       # Fetch best practices for a language/framework
/init-project constitution      # Generate constitution only
/init-project memories          # Initialize Serena memories only
/init-project optimize          # Configure optimization settings only

Quick Start: Full Initialization

/init-project --full

This runs all steps in sequence and produces a fully configured project. Takes 10-15 minutes. After completion you'll have:

  • .serena/memories/architecture.md
  • .serena/memories/codebase-conventions.md
  • .serena/memories/testing-strategy.md
  • .claude/settings/constitution.json
  • .claude/settings/token-optimization.json (project-level)
  • .claude/CLAUDE.md (if it doesn't exist)

Read the full file on GitHub · 181 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. 6d ago First seen · 181 lines · 23 tokens per session scan A a5902e04be65

Subscribe to this mod's changes

init-project is a skill published in the GitHub repository escapeboy/ai-prompts (91 stars, last pushed 10d ago), licensed MIT. It adds 23 tokens to every session and 1,591 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.

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-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

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens