Borrowing it
Nothing to install: this file belongs to martinffx/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/martinffx/atelier/main/AGENTS.mdgit clone --depth 1 https://github.com/martinffx/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/martinffx/atelier/agents-md)<a href="https://agentmods.dev/instructions/martinffx/atelier/agents-md"><img src="https://agentmods.dev/badge/instructions/martinffx/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/martinffx/atelier/agents-md"><img src="https://agentmods.dev/badge/instructions/martinffx/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 | $0.00568 | $0.00568 |
| Opus 5.5 | $0.00227 | $0.00227 |
| Sonnet 5.5 | $0.00114 | $0.00114 |
| Haiku 4.5 | $0.00057 | $0.00057 |
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 10d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI agents when working with code in this repository.
Repository Overview
This is Atelier - a personal development toolkit for spec-driven development, deep thinking, and code quality.
Skills Structure
Skills are located in the skills/ directory. Each skill is a self-contained module with:
skills/{category}-{name}/
├── SKILL.md # Main skill definition
└── references/ # Optional additional context
├── topic-a.md
└── topic-b.md
Skill File Format
Skills use YAML frontmatter for metadata:
---
name: skill-name
description: When to use this skill (AI reads this to auto-load)
user-invocable: false # or true if user can call directly
---
Skills are auto-invoked based on description match to current context.
Subagent Dispatch in Skills
Skills describe the work a subagent does; they never name a specific agent. Runtime agent
selection is defined once in the Delegation section of atelier-orchestrator. Other skills
point to it rather than restating it.
Namespace Philosophy
Skills are organized into three namespaces based on their role:
spec: - Workflow Skills
Sequential, state-transforming steps that produce an approved plan and may produce artifacts.
- Process-oriented: Each skill is a step in a workflow
- User-invoked: Called explicitly by user or previous skill
- Output-producing: Each produces conversational or persisted output
- Disciplined: Must be followed exactly, not adapted
oracle: - Thinking Skills
Analytical, knowledge-providing skills that inform decisions.
- Knowledge-oriented: Provide patterns, principles, guidance
- Context-driven: Auto-invoked when relevant context detected
- Adaptable: Principles adapted to specific situation
- Supportive: Inform workflow decisions, don't produce artifacts
code: - Utility Skills
Tools and helpers for specific tasks.
- Task-oriented: Solve specific problems
- User-invoked: Called when needed
- Standalone: Can be used independently or within workflow
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.
- 10d ago Changed · +6 lines · +54 tokens per session 063d2f0d97d8
- 1mo ago First seen · 82 lines · 514 tokens per session scan A 89943c40b829
atelier AGENTS.md is an instructions file published in the GitHub repository martinffx/atelier (48 stars, last pushed 3d ago), licensed MIT. It adds 568 tokens to every session, about $0.0023 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 2026-08-30.
Other instructions, from other repositories
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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.