yd-agents-yaml

yd-agents-yaml is a skill for Claude Code from LeeYudok/agents-scaffold. It costs 129 tokens per session (1,807 once invoked), scanned A, original, MIT.

A repository setup guide that creates or updates AGENTS.md for people, AGENTS.yaml for machine-readable facts, and a shell script that checks the YAML. These files describe a codebase's structure, commands, paths, environment variables, and known constraints.

In plain words
What is it for?
Use it to set up agent instructions in a new repository, update them when components or deployment settings change, record commands and environment-variable names, and verify that the YAML is valid and current.
Why use it?
Coding agents otherwise spend time rediscovering repository details, and written instructions can drift away from the actual code. Separating human guidance from checked, structured facts makes those details easier to maintain.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions AGENTS.md.

Good fit Use it to set up agent instructions in a new repository, update them when components or deployment settings change, record commands and environment-variable names, and verify that the YAML is valid and current.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leeyudok/agents-scaffold/yd-agents-yaml
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.

Any agent
npx skills add LeeYudok/agents-scaffold --skill yd-agents-yaml
Clone the repo
git clone --depth 1 https://github.com/LeeYudok/agents-scaffold

Made for: Claude Code.

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 yd-agents-yaml

README.md
[![agentmods](https://agentmods.dev/badge/skills/leeyudok/agents-scaffold/yd-agents-yaml/github.svg)](https://agentmods.dev/skills/leeyudok/agents-scaffold/yd-agents-yaml)
Your own site
<a href="https://agentmods.dev/skills/leeyudok/agents-scaffold/yd-agents-yaml"><img src="https://agentmods.dev/badge/skills/leeyudok/agents-scaffold/yd-agents-yaml/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.

agentmods 80×15 button for yd-agents-yaml

Your own site · 80×15
<a href="https://agentmods.dev/skills/leeyudok/agents-scaffold/yd-agents-yaml"><img src="https://agentmods.dev/badge/skills/leeyudok/agents-scaffold/yd-agents-yaml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,807 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00129 $0.01807
Opus 5.5 $0.00052 $0.00723
Sonnet 5.5 $0.00026 $0.00361
Haiku 4.5 $0.00013 $0.00181

Measured today against content hash f7e744ae37a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

yd-agents-yaml 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 today.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/check-agents-yaml.sh, tests/test_check_agents_yaml.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/yd-agents-yaml/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

yd-agents-yaml

에이전트가 저장소를 파악하는 데 드는 탐색을 줄이려고, 저장소의 구조적 사실을 AGENTS.yaml 한 파일에 모은다. 사람이 읽는 규칙과 배경은 AGENTS.md 에 남기고, AGENTS.yaml 은 구성요소 그래프·명령·시크릿 위치·정책 요약·알려진 함정처럼 파싱해서 쓰는 사실만 담는다. 검증기가 YAML 의 조용한 타입 변환과 부패한 경로를 잡는다.

파일 역할
AGENTS.md 사람용 지침(SoT). 맨 위에 AGENTS.yaml 안내 한 단락
AGENTS.yaml 기계 판독용 사실. 서술이 충돌하면 AGENTS.md 와 실제 코드가 이긴다
scripts/check-agents-yaml.sh 이 스킬의 scripts/ 에서 수정 없이 복사

언제 쓰나

  • AGENTS.yaml 이 없는 저장소에서 작업을 시작할 때 — 그 저장소 작업의 첫 chore 이슈로 세팅한다
  • 구성요소·포트·경로·명령·환경변수가 바뀐 MR — 같은 MR 에서 AGENTS.yaml 도 고치고 검증기를 돌린다
  • AGENTS.yaml 과 실제가 어긋난 걸 발견했을 때 — 실제(코드·파일시스템)를 확인해 둘 다 고친다

세팅 절차

  1. 조사 — 아래를 실제로 확인한다. 추측으로 채우지 않는다.
    • 진입점·패키지 구조 (ls, 모듈 파일, 서브커맨드 분기)
    • 코드가 읽는 환경변수 이름: grep -rhoE 'Getenv\("[A-Z0-9_]+"' --include='*.go' / os.environ / process.env 등
    • 배포 단위(컨테이너·유닛·타이머·CI job)와 그 EnvironmentFile 경로
    • 외부 의존(DB·LLM·API·소켓)과 어느 코드가 부르는지
    • 시크릿 파일의 키 이름만: grep -oE '^[A-Z_]+=' <file> — 값이 출력되는 명령(cat, env, inspect)은 쓰지 않는다
    • 기존 메모리·README 의 함정(known issues)
  2. AGENTS.yaml 작성 — assets/AGENTS.yaml 뼈대에서 시작한다. 섹션 규칙은 아래.
  3. 검증기 설치 — cp <skill>/scripts/check-agents-yaml.sh <repo>/scripts/ && chmod +x. 저장소에 맞게 고치지 않는다(아래 "확장").
  4. AGENTS.md 연결 — 맨 위에 다음 단락을 넣는다.

    기계 판독용 정보는 AGENTS.yaml — 구성요소 그래프(nodes/edges), commands, secret_files(경로·키 이름만), policies, known_issues 등. 작업 전 이 파일을 먼저 읽고, 구성요소·경로·명령·환경변수가 바뀌면 이 문서와 함께 갱신한다. 두 파일이 어긋나면 실제 코드·파일시스템을 확인해 둘 다 고친다. 고친 뒤엔 scripts/check-agents-yaml.sh 로 검증한다. 날짜·버전 값은 항상 따옴표로 감싼다.

  5. 검증 — scripts/check-agents-yaml.sh 가 [OK] 인지, 그리고 일부러 망가뜨린 사본(따옴표 뺀 날짜, 없는 노드로 가는 엣지, 없는 경로)을 잡는지 한 번 확인한다.
  6. 이슈 → 브랜치 → MR 로 올린다. AGENTS.yaml, 검증기, AGENTS.md 를 한 MR 에.

섹션 규칙

섹션 필수 내용
schema_version O '1.0' (따옴표)
meta O 이름·설명·저장소/이슈 URL·브랜치 전략·updated: 'YYYY-MM-DD'
nodes O 구성요소. id(유일)·type·label·path(저장소 상대). 외부 의존도 노드로 둔다
edges O {from, to, rel} + 해당 연결이 읽는 env: [키 이름]
environments local / prod / ci 실행 환경
ports {port: 정수, service, scope}
commands 그룹별 실행 명령. 첫 토큰이 저장소 파일이면 검증기가 존재를 확인한다
secret_files {host, path, keys: [이름만], used_by}. 값은 절대 넣지 않는다
env_keys 컴포넌트별 코드가 읽는 환경변수 이름
policies {id, rule: 한 줄, source: 상세 문서 경로} — 상세는 source 가 SoT
known_issues {id, summary, source, files} — 한 번 밟은 함정
docs 문서 포인터
x-* 저장소 고유 섹션 (예: x-deliverables, x-catalog)

Read the full file on GitHub · 79 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. today First seen · 79 lines · 129 tokens per session scan A f7e744ae37a0

Subscribe to this mod's changes

yd-agents-yaml is a skill published in the GitHub repository LeeYudok/agents-scaffold (36 stars, last pushed today), licensed MIT. It adds 129 tokens to every session and 1,807 once invoked, about $0.0005 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 2026-10-25.