Borrowing it
Nothing to install: this file belongs to magnus919/agent-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/magnus919/agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/magnus919/agent-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/magnus919/agent-skills/agents-md)<a href="https://agentmods.dev/instructions/magnus919/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/magnus919/agent-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/magnus919/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/magnus919/agent-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 | $0.04304 | $0.04304 |
| Opus 5.5 | $0.01722 | $0.01722 |
| Sonnet 5.5 | $0.00861 | $0.00861 |
| Haiku 4.5 | $0.00430 | $0.00430 |
Grade A, and why
agent-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 15d 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Agent Guide for agent-skills
This file tells AI agents how to load and use skills from this repository. Skills in this repo follow the Agent Skills open format — a standardized way to give agents new capabilities through structured markdown files.
Format Compliance
Every skill in this repository conforms to the Agent Skills specification:
| Requirement | Rule |
|---|---|
| Directory | Each skill in its own directory named by the skill |
| Entry point | SKILL.md with YAML frontmatter + markdown body |
name field |
Lowercase, hyphens only, matches parent directory name |
description field |
Trigger-oriented, starts with an imperative verb, defines both positive and negative trigger boundaries |
| Progressive disclosure | Core instructions in SKILL.md (< 500 lines, < 5,000 tokens), supporting material in references/, templates/, scripts/ |
| File references | Relative paths from skill root, one level deep |
| Reference file size | Every file under a skill's references/ must be ≤ 60,000 characters; oversized files are split into focused files and the skill's index/routing is updated |
| Human-readable README | README.md in skill root — required for every skill. See README Format below |
README Format
Every skill directory MUST contain a README.md written for a human audience (not an AI agent). The README explains what the skill does and why someone would want to install it. It is the public face of the skill — the first thing a human sees when browsing the repository.
Required Sections
| Section | Purpose |
|---|---|
| Title | Skill name + one-line summary of what it does |
| Why Install This Skill | 2-3 paragraph pitch answering "what problem does this solve for me?" and "what can my agent do after installing this?" — written in plain language, not format docs |
| What You Get | Table listing directory contents (scripts, references, templates, assets) and what each provides |
| Quick Start | Minimal setup: env vars to export, first command to run (omit for reference-only skills) |
| Triggers | List of trigger conditions that tell someone when to load this skill |
| Requirements | Dependencies, API keys, Python version, system tools |
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.
- 15d ago Changed · +182 tokens per session dfb28e15a07b
- 1mo ago Changed · +19 lines · +847 tokens per session 4718b5384964
- 1mo ago First seen · 211 lines · 3,275 tokens per session scan A b2649ddbdf74
agent-skills AGENTS.md is an instructions file published in the GitHub repository magnus919/agent-skills (147 stars, last pushed yesterday), licensed MIT. It adds 4,304 tokens to every session, about $0.0172 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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
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).