skills AGENTS.md

skills AGENTS.md is an instructions file for Codex, OpenCode from DaleStudy/skills. It costs 1,618 tokens per session, scanned A, original, MIT.

Repository instructions for DaleStudy's collection of reusable skills for coding assistants such as Claude Code, Cursor, and GitHub Copilot. They explain the skill files, local installation tests, packaging, and automated checks.

In plain words
What is it for?
Developing, testing, packaging, and distributing skills, including running local installation checks and updating the continuous-integration skill list.
Why use it?
They show contributors how to add and verify skills in a content-only repository without a separate build process.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/dalestudy/skills/agents-md
Clone the repo
git clone --depth 1 https://github.com/DaleStudy/skills

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for skills AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/dalestudy/skills/agents-md.svg)](https://agentmods.dev/instructions/dalestudy/skills/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/dalestudy/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/dalestudy/skills/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,618 This file is loaded in full into every session.
When invoked 1,618 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01618 $0.01618
Opus 5 $0.00809 $0.00809
Sonnet 5 $0.00324 $0.00324
Haiku 4.5 $0.00162 $0.00162

Measured 4d ago against content hash 535f5b946e26, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 4d 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.

AGENTS.md · 171 lines

How it starts

The opening of the file, as written. The whole thing — 171 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.

Repository Overview

DaleStudy 커뮤니티의 Agent Skills 모음집. AI 코딩 어시스턴트(Claude Code, Cursor, GitHub Copilot)용 재사용 가능한 스킬 정의를 제공한다.

이 저장소는 빌드 과정 없는 순수 콘텐츠 저장소다. 각 스킬은 SKILL.md 파일로 정의되며, 배포 시 단순히 ZIP으로 압축되어 dist/ 디렉토리에 .skill 확장자로 저장된다.

Development Commands

스킬 테스트 (로컬)

# 로컬 저장소에서 특정 스킬 설치 테스트
npx skills add . --skill bun --agent claude-code --global --yes

# Bun 사용 시
bunx skills add . --skill bun --agent claude-code --global --yes

설치 후 ~/.agents/skills/{skill-name}~/.claude/skills/{skill-name} (심볼릭 링크)에서 확인 가능

배포 방식

이 저장소는 GitHub를 통해 직접 배포된다. npx skills add dalestudy/skills는:

  1. GitHub 저장소 클론
  2. skills/ 디렉토리에서 SKILL.md 파일 읽기
  3. 선택한 스킬을 ~/.agents/skills/에 설치

별도 빌드/패키징 과정 없음. skills/{skill-name}/SKILL.md 파일을 수정하면 즉시 배포된다.

CI 테스트

GitHub Actions가 자동으로 실행됨 (스케줄: 매일 11:00, 23:00 UTC):

  • 모든 스킬의 설치 가능성 검증
  • .github/workflows/ci.ymlmatrix.skill 배열에 명시된 스킬만 테스트 대상

새 스킬 추가 시 CI 업데이트 필수: matrix.skill 배열에 스킬명 추가

Repository Architecture

스킬 구조

각 스킬은 Agent Skills 스펙을 따른다:

skills/{skill-name}/
└── SKILL.md          # YAML frontmatter + Markdown 지시사항 (필수)

핵심 원칙:

  • SKILL.md는 실행 가능한 지시사항이자 메타데이터를 포함
  • description 필드는 스킬 활성화 조건을 명확히 기술 (파일 패턴, 키워드, 사용 상황)
  • allowed-tools는 스킬이 요구하는 도구 권한을 선언 (예: Bash(bun:*))

SKILL.md 작성 규칙

---
name: skill-name
description: "스킬 설명 + 활성화 조건. 다음 상황에서 사용: (1) ..., (2) ..., (3) ..."
license: MIT
compatibility: 필요한 CLI 도구 (예: Requires bun CLI)
metadata:
  author: DaleStudy
  version: "1.0"
allowed-tools: Bash(command:*) Bash(another:*) # 공백으로 구분
---

# 스킬 제목

스킬 지시사항 (Markdown)

중요:

  • description은 AI 에이전트가 언제 이 스킬을 사용할지 판단하는 주요 기준
  • 구체적인 파일 패턴 (.stories.tsx), 키워드 (bun, CSF), 사용 상황을 명시
  • allowed-tools는 권한 프롬프트 최소화를 위해 정확히 기술

배포 구조

스킬은 GitHub 저장소를 통해 직접 배포된다:

Read the full file on GitHub · 171 lines

Changes

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.

  1. 4d ago First seen · 171 lines · 1,618 tokens per session scan A 535f5b946e26

Subscribe to this mod's changes

skills AGENTS.md is an instructions file published in the GitHub repository DaleStudy/skills (4 stars, last pushed 4mo ago), licensed MIT. It adds 1,618 tokens to every session, about $0.0081 per session on Opus 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.