Borrowing it
Nothing to install: this file belongs to LeeYudok/doksam-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/LeeYudok/doksam-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/LeeYudok/doksam-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/leeyudok/doksam-skills/agents-md)<a href="https://agentmods.dev/instructions/leeyudok/doksam-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/leeyudok/doksam-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/leeyudok/doksam-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/leeyudok/doksam-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 | $0.06815 | $0.06815 |
| Opus 5 | $0.03408 | $0.03408 |
| Sonnet 5 | $0.01363 | $0.01363 |
| Haiku 4.5 | $0.00681 | $0.00681 |
Grade B, and why
doksam-skills AGENTS.md scanned grade B with 1 finding 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
| Antigravity | `~/.gemini/config/skills/` | 플러그인 `agents/*.md` (`agy plugin install`) | `agy agents` | How it starts
The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
doksam-skills - AI Agent Guidelines
이 문서는 AI 에이전트(Gemini, Claude 등)가 이 저장소(Repository)에서 작업할 때 지켜야 할 규칙과 프로젝트 컨텍스트를 정의합니다. GEMINI.md, CLAUDE.md 등에서 이 파일을 참조합니다.
1장~3장은 스킬 개수와 무관한 저장소 공통 규약이고, 4장부터는 스킬별 작업 지침입니다.
1. 프로젝트 개요 (Project Context)
- 성격: 이 저장소는 Agent Skill 모음(doksam-skills)입니다.
skills/아래 스킬 하나가 배포 단위이며,install.sh가 전부를 Claude Code / Codex / Antigravity 경로에 심링크로 노출합니다. - 소유 원칙: 스킬 하나가 자기 자산을 전부 소유합니다. 행동 계약(
SKILL.md), 리소스, 스크립트, 테스트, 세 런타임 Agent Adapter 가 모두skills/<skill>/안에 있습니다. 저장소 루트에는 설치기와 공통 규약 검증만 둡니다. 특정 스킬에만 쓰이는 파일을 루트scripts/나tests/에 두지 않습니다. - 기술 스택: 스킬 정의는 Markdown, 템플릿은 HTML5 + Vanilla CSS, 검증/테스트 스크립트는 Python 3 stdlib 와 bash 입니다.
- 언어 정책 (한국어 우선): 이 저장소는 한국인 사용자를 위한 스킬 모음입니다.
SKILL.md본문·frontmatterdescription·Agent Adapter·문서·커밋/이슈/PR 본문은 한국어로 작성합니다. 단, 영어가 더 정확하거나 필수인 것은 영어를 유지합니다 — 코드 식별자·클래스명·명령어·파일/키 이름(name,description키 등), 고유 기술용어(IA, Storyboard, SSOT, frontmatter 등), 외부 도구가 요구하는 형식. 트리거 매칭에 쓰이는 description 은 한국어 문장으로 쓰되 핵심 키워드는 한/영을 병기할 수 있습니다.
2. 스킬 레이아웃 규약
skills/<skill>/
SKILL.md 필수. frontmatter 는 name·description 두 개뿐이고 name 은 디렉터리명과 같다
agents/ 선택. 아래 파일명만 허용한다
claude.md Claude Code Agent Adapter
codex.toml Codex custom agent (name 은 스킬명의 - 를 _ 로 바꾼 것)
antigravity.md Gemini API Managed Agent 등록용 역할 정의 원본
openai.yaml Codex UI 용 스킬 메타데이터
resources/ 템플릿 등
scripts/ 이 스킬 전용 스크립트
tests/ 이 스킬 전용 테스트
루트 .claude/agents/<skill>.md 와 .codex/agents/<skill_>.toml 은 위 원본을 가리키는 심링크입니다. 원본을 그 자리에 직접 두지 않습니다.
Agent Adapter 에 스킬의 행동 규칙을 복제하지 않습니다. 공통 행동 계약은 SKILL.md 한 곳에서 관리하고 Adapter 는 역할·호출·완료 조건만 정의합니다.
claude.md 와 antigravity.md 는 YAML frontmatter(name·description)가 필수입니다. 특히 agy 는 frontmatter 가 없는 agent md 를 오류도 경고도 없이 무시합니다 — 플러그인에는 파일이 복사돼 있는데 agy agents 에는 안 나오는 상태가 됩니다 (2026-08-11 agy 1.1.11 실측, 이슈 #110). 등록 여부는 파일 존재가 아니라 agy agents 출력으로 확인하세요.
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 · 295 lines · 6,815 tokens per session scan B 6e2db6b0c832
doksam-skills AGENTS.md is an instructions file published in the GitHub repository LeeYudok/doksam-skills (10 stars, last pushed 17d ago), licensed MIT. It adds 6,815 tokens to every session, about $0.0341 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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.