Borrowing it
Nothing to install: this file belongs to arraydude/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/arraydude/agent-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/arraydude/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/arraydude/agent-skills/claude-md)<a href="https://agentmods.dev/instructions/arraydude/agent-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/arraydude/agent-skills/claude-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/arraydude/agent-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/arraydude/agent-skills/claude-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 | $0.00417 | $0.00417 |
| Opus 5.5 | $0.00167 | $0.00167 |
| Sonnet 5.5 | $0.00083 | $0.00083 |
| Haiku 4.5 | $0.00042 | $0.00042 |
Grade A, and why
agent-skills CLAUDE.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.
What it actually says
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Repository Purpose
This repository contains AI agent skills and commands in two formats:
- Skills (skills.sh format): Auto-activate when relevant tasks detected, installed via
npx skills add - Claude Code Commands: Explicit invocation via
/command-name, installed by copying.claude/commands/
Repository Structure
skills/ # skills.sh format skills
<skill-name>/
SKILL.md # Instructions for the agent (frontmatter + content)
AGENTS.md # Full compiled document with all rules expanded
rules/ # Individual rule files with code examples
metadata.json # Version and reference information
.claude/commands/ # Claude Code native commands
<command-name>.md # Command file with frontmatter and instructions
Creating New Skills (skills.sh format)
Skills follow the skills.sh format:
- Create directory under
skills/<skill-name>/ SKILL.md- Main entry point with YAML frontmatter containingname,description,license, andmetadatametadata.json- Version, organization, abstract, and reference URLsrules/- Individual rule files with brief explanation + incorrect/correct code examplesAGENTS.md- Compiled document containing all rules expanded (for distribution)
Creating New Claude Code Commands
Commands are Markdown files in .claude/commands/:
- Create
.claude/commands/<command-name>.md - Add YAML frontmatter with
descriptionfield - Use
$ARGUMENTSplaceholder for user input - Include input validation and clear error messages
- Document prerequisites (e.g., required CLI tools)
Example frontmatter:
---
description: Brief description shown in command list
---
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 · 51 lines · 417 tokens per session scan A 3b7bca9bbbfe
agent-skills CLAUDE.md is an instructions file published in the GitHub repository arraydude/agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 417 tokens to every session, about $0.0017 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.