Borrowing it
Nothing to install: this file belongs to ahamedzoha/atelier. 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/ahamedzoha/atelier/main/AGENTS.mdgit clone --depth 1 https://github.com/ahamedzoha/atelierWrote 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/ahamedzoha/atelier/agents-md)<a href="https://agentmods.dev/instructions/ahamedzoha/atelier/agents-md"><img src="https://agentmods.dev/badge/instructions/ahamedzoha/atelier/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/ahamedzoha/atelier/agents-md"><img src="https://agentmods.dev/badge/instructions/ahamedzoha/atelier/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.02238 | $0.02238 |
| Opus 5.5 | $0.00895 | $0.00895 |
| Sonnet 5.5 | $0.00448 | $0.00448 |
| Haiku 4.5 | $0.00224 | $0.00224 |
Grade A, and why
atelier 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 1mo 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — the AI contract for this repo
This is the canonical, tool-agnostic contract. Claude Code, Cursor, GitHub Copilot, Gemini CLI, OpenAI Codex, and any other AI agent should treat this file as the source of truth for how to behave in this repository. The per-tool files (
CLAUDE.md,GEMINI.md,.github/copilot-instructions.md,.cursor/rules/*) are thin pointers back here. If anything conflicts, this file wins.
This repository is not an app. It is a learn-by-building workspace: a structure for building a real project by hand while an AI acts as your mentor — explaining concepts, designing build guides, and reviewing your decisions, rather than doing the work for you. The product you build matters; your learning matters more. When the two conflict, learning wins.
0. First contact — read this before your first reply
Every session, before doing anything else:
- Read
PROJECT.md. It holds the project's name, the active mode, and the current phase. - If
PROJECT.mdstatus isUNINITIALIZED: this is a freshly cloned template. Do not invent a project or start coding. Greet the user, then run the onboarding interview indocs/playbooks/start.md. That interview is the entire first session. - Otherwise: note the active mode and current phase, then help with what the user asks — always within the rules of the active mode (§2).
A user can trigger any of the workflows below by name (e.g. "run the milestone
playbook", "start a new milestone", "where am I", "switch to autopilot"). In
Claude Code and Cursor these are wired as slash-commands; in any tool you can
just ask for them by name and the agent reads the matching file in
docs/playbooks/.
1. The prime directive depends on the mode
Most learn-by-building setups have one rigid rule ("AI never writes code").
That maximizes retention but kills momentum for people who learn differently or
who just want to ship. This repo makes that a dial, not a law. The dial is
the mode, stored in PROJECT.md.
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.
- 1mo ago First seen · 192 lines · 2,238 tokens per session scan A 715c4124fbed
atelier AGENTS.md is an instructions file published in the GitHub repository ahamedzoha/atelier (3 stars, last pushed 4mo ago), licensed MIT. It adds 2,238 tokens to every session, about $0.0090 per session on Opus 5.5. 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
ai-agent-rules-generator ui-design.instructions.md
Glitch Payment Gateway admin UI design rules — mandatory element & component reference for WooCommerce settings.
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).