Borrowing it
Nothing to install: this file belongs to bastos/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/bastos/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/bastos/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/bastos/skills/agents-md)<a href="https://agentmods.dev/instructions/bastos/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/bastos/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/bastos/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/bastos/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 | $0.00491 | $0.00491 |
| Opus 5.5 | $0.00196 | $0.00196 |
| Sonnet 5.5 | $0.00098 | $0.00098 |
| Haiku 4.5 | $0.00049 | $0.00049 |
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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- skills CLAUDE.md — 88% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Skills
A collection of reusable skills for AI agents.
Commits
Use Conventional Commits for all commit messages.
Format: <type>: <description>
Types:
feat: New feature or skillfix: Bug fixdocs: Documentation changesrefactor: Code refactoringchore: Maintenance tasks
Creating a Skill
A skill is a directory containing a SKILL.md file with YAML frontmatter and Markdown instructions.
Structure
skill-name/
├── SKILL.md # Required - frontmatter + instructions
├── scripts/ # Optional - executable code
├── references/ # Optional - additional docs loaded on demand
└── assets/ # Optional - templates, images, data files
SKILL.md Format
---
name: skill-name
description: What the skill does and when to use it. Be specific and include trigger keywords.
---
# Skill Title
Step-by-step instructions, examples, and edge cases go here.
Required fields:
name— lowercase letters, numbers, hyphens only (max 64 chars). Must match the directory name.description— what the skill does and when to use it (max 1024 chars). Write in third person.
Optional fields: license, compatibility, metadata (key-value map), allowed-tools.
Key Guidelines
- Be concise — Codex is already smart. Only add context it doesn't have. Keep
SKILL.mdunder 500 lines. - Progressive disclosure — put detailed reference material in separate files; link from
SKILL.md. Keep references one level deep. - Match specificity to fragility — use exact scripts for critical operations, general guidance for flexible tasks.
- Use consistent terminology — pick one term per concept and stick with it.
- Include examples — concrete input/output pairs improve output quality.
References
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.
- 1mo ago First seen · 64 lines · 491 tokens per session scan A d6bcd47c3f3b
skills AGENTS.md is an instructions file published in the GitHub repository bastos/skills (7 stars, last pushed 2mo ago), licensed MIT. It adds 491 tokens to every session, about $0.0020 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.
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).
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.