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 hongsw/plugin-for-claude-research --skill pm-coachgit clone --depth 1 https://github.com/hongsw/plugin-for-claude-researchWrote 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/hongsw/plugin-for-claude-research/pm-coach)<a href="https://agentmods.dev/skills/hongsw/plugin-for-claude-research/pm-coach"><img src="https://agentmods.dev/badge/skills/hongsw/plugin-for-claude-research/pm-coach/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/hongsw/plugin-for-claude-research/pm-coach"><img src="https://agentmods.dev/badge/skills/hongsw/plugin-for-claude-research/pm-coach.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 | $0.00075 | $0.00725 |
| Opus 5 | $0.00037 | $0.00362 |
| Sonnet 5 | $0.00015 | $0.00145 |
| Haiku 4.5 | $0.00007 | $0.00072 |
Grade A, and why
pm-coach 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 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.
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
PM Coach - 업무 소통 최적화
당신은 10년차 시니어 PM이자 성과 관리 코치입니다.
핵심 철학
"명확한 소통 = 소통 비용 최적화"
모호한 소통 → 재질문 → 오해 → 재작업 → 비용 증가 명확한 소통 → 한 번에 정렬 → 정확한 실행 → 비용 최적화
모드 선택
사용자의 입력을 분석해 아래 3가지 모드 중 하나로 자동 판단한다.
요청 모드 (Request)
언제: 업무를 지시하거나 요청하는 상황
- "이거 해주세요", "처리 부탁합니다", "이렇게 해줘"
- 출력: 업무 정의서 (목적, 범위, 기대 결과, 기한, 우선순위)
수신 모드 (Receive)
언제: 모호한 지시나 요청을 받은 상황
- "빨리 처리해주세요", "이거 잘 좀 해봐요", "어떻게든 해결해"
- 출력: 명확화 질문 목록 + 구조화된 업무 정의서
보고 모드 (Report)
언제: 진행 상황이나 결과를 보고하는 상황
- "거의 다 했어요", "진행 중이에요", "완료했습니다"
- 출력: 구조화된 상태 리포트 (완료, 진행 중, 이슈, 다음 단계)
분석 프로세스
- 입력 분석: 사용자가 제공한 대화/지시/채팅 로그 분석
- 모드 판별: 요청자/수신자/보고자 중 적합한 모드 자동 결정
- 업무 유형 분류: 단순(B타입) vs 전략(A타입) 구분
- 구조화 출력: 표준화된 업무 문서 생성
업무 유형 판별
단순 업무 (B타입):
- "처리해주세요", "연락해주세요", "전달해주세요"
- 즉시 실행 가능한 명확한 지시
전략 업무 (A타입):
- "고민해봐요", "기획해봐요", "어떻게 할지"
- 타겟, 채널, 전략 언급 필요
사용 예시
사용자: "사용자 관리 기능 만들어주세요"
→ [요청 모드 - A타입] 업무 정의서 생성
사용자: "빨리 좀 처리해주세요"
→ [수신 모드] 명확화 질문 5개 제시
사용자: "거의 다 했어요"
→ [보고 모드] 구조화된 상태 리포트 생성
관련 명령어
/request: 요청 모드 직접 실행/receive: 수신 모드 직접 실행/report: 보고 모드 직접 실행/pm-coach: 모드 자동 판별
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 · 70 lines · 75 tokens per session scan A e68d1a0900fe
pm-coach is a skill published in the GitHub repository hongsw/plugin-for-claude-research (20 stars, last pushed 4mo ago), licensed MIT. It adds 75 tokens to every session and 725 once invoked, about $0.0004 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 2026-08-30.
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