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.
npx skills add mupengi-bot/mupengism --skill skill-composergit clone --depth 1 https://github.com/mupengi-bot/mupengismWrote 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/skills/mupengi-bot/mupengism/skill-composer)<a href="https://agentmods.dev/skills/mupengi-bot/mupengism/skill-composer"><img src="https://agentmods.dev/badge/skills/mupengi-bot/mupengism/skill-composer/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/skills/mupengi-bot/mupengism/skill-composer"><img src="https://agentmods.dev/badge/skills/mupengi-bot/mupengism/skill-composer.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 | $0.00031 | $0.00678 |
| Opus 5 | $0.00015 | $0.00339 |
| Sonnet 5 | $0.00006 | $0.00136 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
skill-composer 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 10d 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.
What it actually says
skill-composer
스킬 오케스트레이터 — 여러 스킬을 조합해 복합 워크플로우를 자동 실행하는 메타 스킬입니다.
🎯 목적
단일 스킬로는 해결할 수 없는 복합적인 업무를 여러 스킬의 조합으로 자동화합니다. 각 스킬의 출력을 다음 스킬의 입력으로 연결하여 파이프라인을 구성합니다.
🔧 기능
워크플로우 정의
YAML 또는 마크다운으로 스텝을 나열하여 워크플로우를 정의합니다.
정의 파일 위치: workspace/workflows/*.md
예시 워크플로우
주간 리포트 자동화
trend-radar → competitor-watch → daily-report → mail
콘텐츠 생산 파이프라인
seo-content-planner → copywriting → cardnews → insta-post
아침 루틴
tokenmeter import → mail 체크 → daily-report
📊 이벤트 버스 연동
각 스텝은 이전 스텝의 events/ 디렉토리 출력을 입력으로 받습니다.
- 스킬 A →
events/workflow-step-A.json생성 - 스킬 B →
events/workflow-step-A.json읽기 → 실행 →events/workflow-step-B.json생성
🚀 사용법
워크플로우 실행
# 정의된 워크플로우 실행
"주간 리포트 워크플로우 실행해줘"
# 특정 워크플로우 이름으로 실행
--workflow 주간리포트
# 미리보기 (실제 실행 없이 스텝만 확인)
--dry-run
🎤 트리거
다음 키워드로 스킬을 활성화할 수 있습니다:
- "워크플로우"
- "자동화"
- "skill compose"
- "파이프라인 실행"
📁 워크플로우 정의 예시
# 주간-리포트.md
1. trend-radar: 최신 트렌드 수집
2. competitor-watch: 경쟁사 동향 분석
3. daily-report: 리포트 작성
4. mail: 형님에게 메일 발송
⚙️ 구현 가이드
workspace/workflows/디렉토리의 워크플로우 정의 파일 읽기- 각 스텝 순차 실행
- 각 스텝의 출력을
events/디렉토리에 저장 - 다음 스텝은 이전 이벤트를 읽어 컨텍스트 확보
- 전체 워크플로우 완료 후 결과 요약
🐧 Built by 무펭이 — 무펭이즘(Mupengism) 생태계 스킬
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.
- 10d ago First seen · 93 lines · 31 tokens per session scan A fc076e0801fa
skill-composer is a skill published in the GitHub repository mupengi-bot/mupengism (10 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 678 once invoked, about $0.0002 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.
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