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 modu-ai/moai-cowork --skill collab-pm-reportgit clone --depth 1 https://github.com/modu-ai/moai-coworkWrote 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/modu-ai/moai-cowork/collab-pm-report)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/collab-pm-report"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/collab-pm-report/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/modu-ai/moai-cowork/collab-pm-report"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/collab-pm-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00205 | $0.03957 |
| Opus 5 | $0.00102 | $0.01978 |
| Sonnet 5 | $0.00041 | $0.00791 |
| Haiku 4.5 | $0.00020 | $0.00396 |
Grade A, and why
collab-pm-report 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weekly Report: 한국 팀 주간보고(WBR) 자동 생성
moai-pm | 한국 주간보고 문화 + 글로벌 베스트 프랙티스
개요
월요 오전 WBR(Weekly Business Review) 또는 금요 마무리 보고용 주간 리포트를 자동 작성합니다. 한국 직장 문화에서 정착된 6섹션 표준(KPI / Done / In Progress / Plan / Risks / Decisions)을 기본으로 하며, 임원용 1pager와 팀 내부 상세 두 버전을 동시 생성합니다.
트리거 키워드
주간보고 WBR 위클리 리포트 주간 회의자료 주간 업무보고 weekly report 임원 주간보고 팀 주간보고
실전 주간보고·회의·회고 패턴 (한국 팀)
주간보고는 단독 산출물이 아니라 WBR 미팅 + 회고 + 다음 주 우선순위 결정의 종합 보조 자료입니다. 한국 조직 문화에 최적화된 노하우입니다.
6개 핵심 패턴
① 한국 WBR 표준 6섹션 (이미 적용 + vault 검증)
| # | 섹션 | 한국 실무 함정 |
|---|---|---|
| 1 | 이번 주 핵심 (KPI) | 목표 대비 % 표시 필수 — 절대값만 보고 ❌ |
| 2 | 완료 (Done) | "노력함" X, 임팩트 정량 (-30% 비용, +15% 유저) |
| 3 | 진행 중 (In Progress) | 진행률 % + 다음 주 완료 예정 여부 명시 |
| 4 | 차주 계획 (Plan) | P0/P1/P2 우선순위 — 시간 단위 추정 금지 |
| 5 | 이슈·리스크 | 단순 나열 X — 영향도 + 대응안 동반 |
| 6 | 의사결정 요청 | 옵션 2-3개 제시 — 단순 질문 X |
② 회고 프레임워크 KPT·4Ls (한국 기획자 검증)
주간보고에 회고 섹션 통합 권장. 2종 프레임워크 중 선택:
KPT (가장 흔함):
- Keep: 지속할 것
- Problem: 개선 필요한 것
- Try: 새로 시도할 것
4Ls (감정 포함):
- Likes: 좋았던 점·성과
- Learned: 배운 점 (성공·실패에서)
- Lacked: 부족했던 점
- Longed for: 바랐던 점
회고는 머릿속 추상을 '읽을 수 있는 언어' 로 표현 → 기획자의 필수 역량 "소통 능력" 훈련.
③ 의사결정 요청 표준 포맷 (한국 임원 보고)
## 의사결정 요청 — [주제]
### 배경
[1~2줄 맥락]
### 옵션
| 옵션 | 장점 | 단점 | 비용·일정 |
|---|---|---|---|
| A (권장) | ... | ... | ... |
| B | ... | ... | ... |
| C | ... | ... | ... |
### 권장 사유
[1~2줄 핵심]
### 결정 마감일
[명시]
"고민됩니다, 어떻게 할까요"식 질문 X — 임원은 옵션 + 권장을 함께 보길 원함.
④ 스크럼 주기 결정 매트릭스 (주간보고 입력)
| 프로젝트 단계 | 권장 스크럼 주기 | 주간보고 입력 |
|---|---|---|
| 빠른 실행·MVP | 데일리 스크럼 | 매일 노트 → 주간 요약 |
| 일반 개발·기획 | 주 2-3회 | 스크럼 메모 직접 통합 |
| 검토·승인 중심 | 주 1회 | 주 1회 + 비동기 업데이트 |
| 장기 R&D | 격주 | 격주 + 마일스톤 보고 |
스크럼 = 주간보고의 raw input. 데일리 스크럼 메모를 미리 정리해두면 주간보고는 30분 안에 작성 가능.
⑤ 톤 자동 매핑 (한국 조직 위계 반영)
| 보고 대상 | 톤 | 어조 예시 |
|---|---|---|
| C-Level (CEO/CFO/COO) | 격식체 + 결론 우선 | "-합니다", "-로 판단됩니다" |
| 부서장·팀장 | 격식체 | "-합니다", 정중한 보고체 |
| 팀 내부 (Slack) | 해요체 | "-했어요", "-할 예정이에요" |
| 외부 클라이언트 | 격식체 + 존경어 | "-하셨습니다", "-해 주시면 감사하겠습니다" |
| 회고 (팀 내) | 자기 성찰체 | "-했더라고요", "-를 배웠어요" |
What ships with it
1 file 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.
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.
- 12d ago First seen · 289 lines · 205 tokens per session scan A 4fc1bf0251bb
collab-pm-report is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 8d ago), licensed Apache-2.0. It adds 205 tokens to every session and 3,957 once invoked, about $0.0010 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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