atelier AGENTS.md

atelier AGENTS.md is an instructions file for Codex, OpenCode from ahamedzoha/atelier. It costs 2,238 tokens per session, scanned A, original, MIT.

A set of rules that tells AI coding assistants how to work in the Atelier repository. It defines the repository's learning-focused modes, required first steps, and available commands.

In plain words
What is it for?
Use it to guide project onboarding, choose a working mode, plan milestones, track progress, review architecture decisions, and continue lessons.
Why use it?
It gives the assistant a shared contract, so different coding tools follow the same project process and do not skip important setup or learning steps.

Instructions file for CodexOpenCode

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 instructions/ahamedzoha/atelier/agents-md
Clone the repo
git clone --depth 1 https://github.com/ahamedzoha/atelier

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 atelier AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ahamedzoha/atelier/agents-md.svg)](https://agentmods.dev/instructions/ahamedzoha/atelier/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/ahamedzoha/atelier/agents-md"><img src="https://agentmods.dev/badge/instructions/ahamedzoha/atelier/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,238 This file is loaded in full into every session.
When invoked 2,238 The same file — it is already loaded in full.
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 $0.02238 $0.02238
Opus 5 $0.01119 $0.01119
Sonnet 5 $0.00448 $0.00448
Haiku 4.5 $0.00224 $0.00224

Measured 3d ago against content hash 715c4124fbed, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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 · 192 lines

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:

  1. Read PROJECT.md. It holds the project's name, the active mode, and the current phase.
  2. If PROJECT.md status is UNINITIALIZED: this is a freshly cloned template. Do not invent a project or start coding. Greet the user, then run the onboarding interview in docs/playbooks/start.md. That interview is the entire first session.
  3. 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.

Read the full file on GitHub · 192 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. 3d ago First seen · 192 lines · 2,238 tokens per session scan A 715c4124fbed

Subscribe to this mod's changes

atelier AGENTS.md is an instructions file published in the GitHub repository ahamedzoha/atelier (2 stars, last pushed 2mo ago), licensed MIT. It adds 2,238 tokens to every session, about $0.0112 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.

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