Borrowing it
Nothing to install: this file belongs to ulises-jeremias/agent-toolkit. 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/ulises-jeremias/agent-toolkit/main/AGENTS.mdgit clone --depth 1 https://github.com/ulises-jeremias/agent-toolkitWrote 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/ulises-jeremias/agent-toolkit/agents-md)<a href="https://agentmods.dev/instructions/ulises-jeremias/agent-toolkit/agents-md"><img src="https://agentmods.dev/badge/instructions/ulises-jeremias/agent-toolkit/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/ulises-jeremias/agent-toolkit/agents-md"><img src="https://agentmods.dev/badge/instructions/ulises-jeremias/agent-toolkit/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 | $0.03120 | $0.03120 |
| Opus 5.5 | $0.01248 | $0.01248 |
| Sonnet 5.5 | $0.00624 | $0.00624 |
| Haiku 4.5 | $0.00312 | $0.00312 |
Grade A, and why
agent-toolkit 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 16d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — AI Agent Contract
Purpose: the repository-wide operating contract for AI agents and automated contributors. Read this before modifying any file. More specific scoped instructions, when present, refine this contract for their subtree.
What this repository is
agent-toolkit is the capability distribution layer for reusable AI-agent skills, personas, loops, MCP templates, products/packs, target profiles, the native V CLI, and Agent Toolkit Desktop. Changes can affect multiple downstream coding assistants and packaging channels.
Operate precisely: use canonical sources, preserve public/vendor-neutral boundaries, cite evidence, and validate before finalizing.
Canonical document map
Use the narrowest current source of truth instead of old issue prose or historical comments.
| Concern | Canonical source |
|---|---|
| Public concept model / boundaries | docs/CONCEPTS.md |
| Architecture decisions | docs/adrs/ |
| Skill authoring/integration | docs/SKILL_INTEGRATION_CHECKLIST.md, docs/UPSTREAM_VS_FIRST_PARTY.md |
| Agent personas | docs/HOW_TO_ADD_AGENT.md |
| Loop templates | docs/HOW_TO_CREATE_LOOP.md, schemas/loop.schema.json |
| V development | docs/HOW_TO_DEVELOP_V.md |
| Desktop product | docs/desktop/PRODUCT_VISION.md |
| Desktop interaction model | docs/desktop/UX_ARCHITECTURE.md |
| Desktop visual design | docs/desktop/DESIGN.md |
| Desktop semantic world (primary spatial home) | docs/desktop/SEMANTIC_WORLD.md, docs/adrs/ADR-034-semantic-world.md |
| Desktop journeys / coverage | docs/desktop/USER_JOURNEYS.md, docs/desktop/workflows.yaml |
| Desktop visual acceptance | docs/desktop/VISUAL_QA.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.
- 16d ago Changed · +11 tokens per session 639926a9654d
- 19d ago Changed · -5 lines · -123 tokens per session b5e75cc63208
- 21d ago Changed · +1 lines · +57 tokens per session 0db327b930fc
- 1mo ago Changed · +3 lines · +70 tokens per session 13f07961a891
- 1mo ago Changed · -142 lines · -1,580 tokens per session 98ce3b0c855a
- 1mo ago Changed · +14 lines · +171 tokens per session b215dffe7fc6
- 1mo ago First seen · 399 lines · 4,514 tokens per session scan A c1dc27483099
agent-toolkit AGENTS.md is an instructions file published in the GitHub repository ulises-jeremias/agent-toolkit (19 stars, last pushed today), licensed MIT. It adds 3,120 tokens to every session, about $0.0125 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).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.