awesome-ai-setup: Instructions file for Codex

AGENTS.md

awesome-ai-setup AGENTS.md is an instructions file for Codex, OpenCode from shuchitajain/awesome-ai-setup. It costs 2,265 tokens per session, scanned A, original, MIT.

Repository instructions for awesome-ai-setup, an npm command-line tool that installs AI agents which inspect a codebase and create project-specific development documentation.

In plain words
What is it for?
Use them when working on project detection, installation, generated instruction files, the command-line interface, or the collection of executable AI agents.
Why use it?
They explain what the repository does and where its CLI, agents, and setup code live. This helps contributors change the installer or agents without treating them as static documentation templates.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions AGENTS.md.

This is shuchitajain/awesome-ai-setup's own configuration. It tells Codex and OpenCode how to work on awesome-ai-setup itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything awesome-ai-setup configures →

Reuse

Borrowing it

Nothing to install: this file belongs to shuchitajain/awesome-ai-setup. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/shuchitajain/awesome-ai-setup/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/shuchitajain/awesome-ai-setup

Made for: Codex, OpenCode.

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 awesome-ai-setup AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/shuchitajain/awesome-ai-setup/agents-md.svg)](https://agentmods.dev/instructions/shuchitajain/awesome-ai-setup/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/shuchitajain/awesome-ai-setup/agents-md"><img src="https://agentmods.dev/badge/instructions/shuchitajain/awesome-ai-setup/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,265 This file is loaded in full into every session.
When invoked 2,265 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.02265 $0.02265
Opus 5 $0.01132 $0.01132
Sonnet 5 $0.00453 $0.00453
Haiku 4.5 $0.00227 $0.00227

Measured 8d ago against content hash 421327fdd60b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

awesome-ai-setup AGENTS.md 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.

AGENTS.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — awesome-ai-setup

Context for AI agents working on this repository.


What This Repo Is

awesome-ai-setup is an npm CLI tool + a collection of executable AI agents that help developers set up AI-native development context for any codebase.

Published as npx awesome-ai-setup. Current version: 0.6.0.

The core philosophy: instead of shipping static template files for humans to adapt, this repo ships agents — markdown instruction files that tell an AI assistant to inspect a real codebase and generate accurate, project-specific documentation from what it finds. Static templates rot; agents can be re-run.


Repository Structure

awesome-ai-setup/
├── bin/
│   └── cli.js              # Entry point — interactive CLI (ESM)
├── src/
│   ├── detect.js           # Detects project state (agents exist?, maturity level)
│   ├── install.js          # Copies agent files and scaffolds ignore/MCP config files
│   └── output.js           # Prints post-install summary to the terminal
├── agents/                 # The 7 executable AI agents (core product)
│   ├── README.md           # Invocation reference for all agents across tools
│   ├── diagnose-and-setup.md
│   ├── generate-architecture.md
│   ├── generate-context.md
│   ├── generate-mcp-config.md
│   ├── generate-scoped-instructions.md
│   ├── generate-agent-workflows.md
│   └── update-memory.md
├── examples/               # Reference output for target project types
│   ├── flutter/            # Flutter + Riverpod + Clean Architecture
│   └── nodejs/             # Node.js + Express + TypeScript + Prisma
├── docs/
│   ├── MATURITY_MODEL.md
│   ├── CONTEXT_ENGINEERING.md
│   └── MCP_GUIDE.md
├── package.json            # name: awesome-ai-setup, main: bin/cli.js
├── README.md
├── CONTRIBUTING.md
└── CHANGELOG.md

Tech Stack

  • Runtime: Node.js ≥ 16, ESM ("type": "module")
  • Dependencies: fs-extra (file operations), prompts (interactive CLI prompts)
  • No build step. Source is plain JS, runs directly with Node.
  • Test suite: node --test test/lint-agents.js (run via npm test). Checks agent frontmatter and file structure.

Read the full file on GitHub · 202 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. 8d ago First seen · 202 lines · 2,265 tokens per session scan A 421327fdd60b

Subscribe to this mod's changes

awesome-ai-setup AGENTS.md is an instructions file published in the GitHub repository shuchitajain/awesome-ai-setup (5 stars, last pushed 3mo ago), licensed MIT. It adds 2,265 tokens to every session, about $0.0113 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 2026-08-31.

Related

Other instructions, from other repositories

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens