Borrowing it
Nothing to install: this file belongs to nagaakihoshi/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/nagaakihoshi/skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/nagaakihoshi/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/nagaakihoshi/skills/claude-md)<a href="https://agentmods.dev/instructions/nagaakihoshi/skills/claude-md"><img src="https://agentmods.dev/badge/instructions/nagaakihoshi/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/nagaakihoshi/skills/claude-md"><img src="https://agentmods.dev/badge/instructions/nagaakihoshi/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 | $0.00907 | $0.00907 |
| Opus 5 | $0.00453 | $0.00453 |
| Sonnet 5 | $0.00181 | $0.00181 |
| Haiku 4.5 | $0.00091 | $0.00091 |
Grade A, and why
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 9d 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.
This is a copy
97% identical to skills AGENTS.md — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This repository contains agent skills — custom tools and capabilities for AI agents, managed with Tessl.
Repository Structure
skills/<name>/
├── tile.json # Skill metadata and version
└── SKILL.md # Agent instructions
Development Workflow
Creating a skill
Note:
tessl skill newhas a bug where it generates a nested structure. Create skills manually.
// skills/<name>/tile.json
{
"name": "nagaakihoshi/<name>",
"version": "0.1.0",
"summary": "<description>",
"private": true,
"skills": {
"<name>": {
"path": "SKILL.md"
}
}
}
Naming convention
Use gerund form for skill names (e.g., developing-tessl-skills, not tessl-skill-dev).
Preparing a skill for PR
- Optimize:
tessl skill review --optimize skills/<name>- Aim for a score of 70% or higher
- Bump version in
tile.jsonfollowing semver - Lint:
tessl skill lint skills/<name> - Stage both
SKILL.mdandtile.json
Note:
tessl skill reviewrequires local login (tessl login). It cannot authenticate in CI.
CI behavior
- PR:
tessl skill lintruns on changed skills only - Merge to main:
tesslio/publish@mainpublishes to the Tessl Registry
Skill Authoring Guidelines
Follow the Claude skill best practices.
Frontmatter
name: lowercase, hyphens only, max 64 chars, gerund form (e.g.,processing-pdfs)description: third person, max 1024 chars, must describe what the skill does AND when to use it
# Good
description: Runs the complete local development lifecycle for a Tessl skill. Use when preparing a skill for pull request or publication.
# Bad — first person, no trigger condition
description: Helps you prepare Tessl skills for publishing.
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.
- 9d ago First seen · 122 lines · 907 tokens per session scan A 57e27fd68ce8
skills CLAUDE.md is an instructions file published in the GitHub repository nagaakihoshi/skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 907 tokens to every session, about $0.0045 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to skills AGENTS.md, differing in 4 lines, and is treated as a copy.
Other instructions, from other repositories
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.
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).
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).
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.