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.
curl -O https://raw.githubusercontent.com/shuchitajain/awesome-ai-setup/main/AGENTS.mdgit clone --depth 1 https://github.com/shuchitajain/awesome-ai-setupWrote 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.
[](https://agentmods.dev/instructions/shuchitajain/awesome-ai-setup/agents-md)<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>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.
| Model | Per session | Once 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 |
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.
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 vianpm test). Checks agent frontmatter and file structure.
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.
- 8d ago First seen · 202 lines · 2,265 tokens per session scan A 421327fdd60b
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.
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.
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).
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.
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.
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).
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.