Borrowing it
Nothing to install: this file belongs to ag2ai/ag2-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/ag2ai/ag2-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/ag2ai/ag2-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/ag2ai/ag2-skills/agents-md)<a href="https://agentmods.dev/instructions/ag2ai/ag2-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/ag2ai/ag2-skills/agents-md.svg" alt="Measured on agentmods" 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 | $0.01283 | $0.01283 |
| Opus 5 | $0.00642 | $0.00642 |
| Sonnet 5 | $0.00257 | $0.00257 |
| Haiku 4.5 | $0.00128 | $0.00128 |
Grade A, and why
ag2-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 7d 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 — 120 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 coding agents (Claude Code, Cursor, Copilot, etc.) when working with code in this repository.
Repository Overview
A collection of skills for working with AG2 — an async, protocol-driven Python agent framework (ag2). Skills are packaged instructions and optional helper scripts that extend an agent's capabilities.
Skills follow the Agent Skills format: a SKILL.md with YAML frontmatter, plus optional scripts/ and references/ directories.
Creating a New Skill
Directory Structure
skills/
{skill-name}/ # kebab-case directory name
SKILL.md # Required: skill definition
scripts/ # Optional: executable scripts
{script-name}.py # Python preferred (matches AG2's runtime)
references/ # Optional: supporting docs the agent reads on demand
{skill-name}.zip # Optional: packaged for distribution
Naming Conventions
- Skill directory:
kebab-case, prefixedag2-for AG2-feature skills (e.g.ag2-quickstart,ag2-middleware). SKILL.md: Always uppercase, always this exact filename.- Scripts:
kebab-caseorsnake_case— pick one per skill and stay consistent. - Zip file: Must match directory name exactly:
{skill-name}.zip.
SKILL.md Format
---
name: {skill-name}
description: {One paragraph describing exactly when to use this skill. Lead with the action and key API surface; include trigger phrases and what to use it *with* (sibling skills).}
license: Apache-2.0
---
# {Skill Title}
## When to use
{Concrete situations where this skill applies. List trigger phrases and the user goals it serves.}
## Recipe
{Numbered steps or a minimal working example, in Python. Show the imports.}
## Reference
{Link to any files in `references/` or upstream AG2 docs (`website/docs/user-guide/...`).}
Frontmatter limits (per the Agent Skills spec)
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.
- 7d ago First seen · 120 lines · 1,283 tokens per session scan A 3206040ed18b
ag2-skills AGENTS.md is an instructions file published in the GitHub repository ag2ai/ag2-skills (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,283 tokens to every session, about $0.0064 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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.
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 oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.