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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/nagaakihoshi/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/nagaakihoshi/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/nagaakihoshi/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/nagaakihoshi/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 | $0.00899 | $0.00899 |
| Opus 5.5 | $0.00360 | $0.00360 |
| Sonnet 5.5 | $0.00180 | $0.00180 |
| Haiku 4.5 | $0.00090 | $0.00090 |
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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- skills CLAUDE.md — 97% identical, 4 lines differ
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.
AGENTS.md
This file provides guidance to AI agents 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.
- 2mo ago First seen · 122 lines · 899 tokens per session scan A bba4aa775a6d
skills AGENTS.md is an instructions file published in the GitHub repository nagaakihoshi/skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 899 tokens to every session, about $0.0036 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.
skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skills AGENTS.mdnagaakihoshi/skills | Instructions file | 2 | 5mo ago | MIT | A | 899 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |