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 cs-voc-triagegit 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/cs-voc-triage)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/cs-voc-triage"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/cs-voc-triage/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/cs-voc-triage"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/cs-voc-triage.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 | $0.00372 | $0.02822 |
| Opus 5 | $0.00186 | $0.01411 |
| Sonnet 5 | $0.00074 | $0.00564 |
| Haiku 4.5 | $0.00037 | $0.00282 |
Grade A, and why
cs-voc-triage 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 8d 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
고객의 소리 통합 (Commerce VOC)
개요
고객의 소리(VOC)는 리뷰·문의·CS·SNS 댓글 등 여러 원천에서 들어옵니다. 이 스킬은 VOC 엄브렐러로서 두 가지 모드를 한 곳에서 제공합니다.
| 모드 | 트리거 발화 예 | 산출물 |
|---|---|---|
| 리뷰 집계 모드 | "리뷰 모아서 분석해줘", "쿠팡 리뷰 키워드", "멀티채널 리뷰 통합" | 4채널 리뷰 통합 → 감정·키워드·인사이트·액션플랜 4단 분석 |
| VOC 분류·트리아지 모드 | "VOC 분류해줘", "고객 문의 우선순위", "응급 VOC 분류" | 3축 분류 × KTAS 5단계 응급도 → 처리 순서 + 응답 템플릿 |
리뷰는 VOC의 한 원천이므로 두 모드는 자연스럽게 이어집니다: 리뷰 집계 모드로 모은 리뷰·문의를 VOC 분류·트리아지 모드로 넘겨 처리 우선순위를 매깁니다. 모드는 CLI 플래그가 아니라 발화로 결정됩니다.
리뷰 집계 모드 (멀티채널 리뷰 4단 분석)
네이버 스마트스토어·쿠팡·자사몰·YouTube·인스타그램 등 멀티채널 리뷰를 통합 수집·분석해 감정·키워드·인사이트·액션플랜 4단 분석 리포트를 생성합니다.
책임 한 줄: 상품 ID 또는 채널별 리뷰 데이터 입력 → 4단 분석 → (선택) PPT 자동화 출력.
4단 분석
- 감정 분석 — 긍정·부정·중립 비율(%) + 강한 감정 표현 추출 + 시간별 감정 추이(월/분기)
- 키워드 분석 — 상위 20개 키워드(빈도순) + 긍정/부정 분류 + 키워드별 대표 문장 1개
- 인사이트 도출 — 제품 강점 3개 + 약점 3개 + 서비스(배송·CS) 평가 별도 + 경쟁사 언급
- 액션플랜 우선순위 5개 — 즉각(1주)·단기(1-3개월)·중기(3-6개월)·장기(6개월+)·모니터링
채널별 수집 가이드
| 채널 | 수집 방법 | 비용 | 자동화 가능성 |
|---|---|---|---|
| 네이버 스마트스토어 | API (네이버 커머스 API) | 무료 (인증 필요) | 자동화 가능 |
| 쿠팡 윙 | Wing API 또는 윙 대시보드 CSV | 무료 (셀러 한정) | 부분 자동화 |
| 자사몰 (카페24/아임웹) | API 또는 어드민 CSV | 무료 | 자동화 가능 |
| YouTube | YouTube Data API | 무료 (한도 내) | 자동화 가능 |
| 인스타그램 | Instagram Graph API (브랜드 계정만) | 무료 | 자동화 가능 |
데이터 연동: 연결된 커머스 MCP 커넥터가 있으면 직접 조회하고, 없으면 사용자가 첨부한 내보내기 파일·스크린샷이나 Claude의 자체 분석으로 동일한 산출물을 생성합니다.
리뷰 집계 출력 형식
{
"product": "비건 세럼 50ml",
"total_reviews": 1247,
"channels": {"smartstore": 580, "coupang": 412, "self_mall": 255},
"sentiment": {"positive": 78, "negative": 12, "neutral": 10},
"top_keywords": [
{"keyword": "흡수력 좋음", "freq": 234, "polarity": "+"},
{"keyword": "향이 별로", "freq": 87, "polarity": "-"}
],
"insights": {
"strengths": ["흡수력·발림성", "비건 인증 신뢰", "용기 디자인"],
"weaknesses": ["향 호불호", "용량 부족 (50ml)", "가격 부담"],
"service": "배송 빠름, CS 친절"
},
"action_plan": [
{"priority": 1, "term": "즉각", "action": "상세페이지에 향 정보 보강 (라벤더 향)"},
{"priority": 2, "term": "단기", "action": "100ml 대용량 SKU 추가"}
]
}
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.
- 8d ago First seen · 174 lines · 372 tokens per session scan A 504303ca7ba3
cs-voc-triage is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 9d ago), licensed Apache-2.0. It adds 372 tokens to every session and 2,822 once invoked, about $0.0019 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 2026-09-03.
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