Borrowing it
Nothing to install: this file belongs to agent0lab/skills. 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/agent0lab/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/agent0lab/skillsWrote 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/agent0lab/skills/agents-md)<a href="https://agentmods.dev/instructions/agent0lab/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/agent0lab/skills/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/agent0lab/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/agent0lab/skills/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 | $0.00455 | $0.00455 |
| Opus 5.5 | $0.00182 | $0.00182 |
| Sonnet 5.5 | $0.00091 | $0.00091 |
| Haiku 4.5 | $0.00046 | $0.00046 |
Grade A, and why
skills 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 2mo 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
Repository Purpose
This repository contains agent skills for the ERC-8004 Trustless Agents ecosystem. Each top-level directory (8004/, agent0/) is a self-contained skill following the Amp skill structure.
Ground Rules
- NEVER MAKE THINGS UP. If you don't know something, notify your human.
- Double-check everything to ensure it's valid and not made up.
Conventions
- Each skill has a
SKILL.mdwith YAML frontmatter (name,description) as its entry point. - Reference files in
references/are loaded lazily — one concept per file, kept concise. - The
agents/subdirectories contain platform-specific agent configs (e.g.,openai.yaml). - EIP text is the normative baseline. Contracts repo is implementation evidence. Forum threads are rationale/debate.
When Editing Skills
- Keep
SKILL.mdunder 500 lines. - Keep individual reference files focused on a single concept.
- Use exact identifiers and field names from the spec — do not invent aliases.
- Mark version-sensitive content (SDK method names, package names, deployment addresses) with caveats.
- If sources disagree, report the disagreement explicitly rather than picking a side silently.
When Answering ERC-8004 Questions
- Separate normative spec requirements from implementation status and open discussion.
- Include date-sensitive caveats for deployment and support claims.
- Payment rails are explicitly out of scope for ERC-8004.
When Answering Agent0 Questions
- Do not mix TypeScript and Python APIs in one recipe.
- Always ask for network, chainId, RPC URL, and signer details before write workflows.
- Treat indexer/search data as eventually consistent with on-chain state.
Cross-Skill References
- The
8004skill covers protocol-level spec questions. Theagent0skill covers SDK integration. - If a user asks a spec question while in the agent0 context, reference the
8004skill. - If a user asks how to implement something while in the 8004 context, reference the
agent0skill. - Both skills share a common glossary of terms. Prefer spec-defined terms over informal aliases.
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.
- 2mo ago First seen · 45 lines · 455 tokens per session scan A 4750d9d15f1a
skills AGENTS.md is an instructions file published in the GitHub repository agent0lab/skills (5 stars, last pushed 7mo ago), licensed MIT. It adds 455 tokens to every session, about $0.0018 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.
skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skills AGENTS.mdagent0lab/skills | Instructions file | 5 | 7mo ago | MIT | A | 455 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |