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 marketing-evidence-auditgit 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/marketing-evidence-audit)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/marketing-evidence-audit"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/marketing-evidence-audit/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/marketing-evidence-audit"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/marketing-evidence-audit.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 | $0.00054 | $0.00456 |
| Opus 5.5 | $0.00022 | $0.00182 |
| Sonnet 5.5 | $0.00011 | $0.00091 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
marketing-evidence-audit 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 17d 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
마케팅 산출물 근거 검수
원본을 수정하지 않고 목표, 데이터 원본, 광고·콘텐츠 산출물을 대조한다.
- 고객군과 메시지가 맞는지 확인한다. 고객 자료 없이 특정 고객의 문제라고 단정한 표현은 근거 부족으로 기록한다.
- 채널별 예산, 기대 CPA·ROAS, 시험 예산과 집행 기간의 산식을 다시 계산한다. 카피·계획·보고서의 숫자와 기간이 일치하는지 대조한다.
- CPC·CTR·ROAS·전환율 등 기준값이 실제 인사이트나 명시된 출처에 있는지 확인한다. 출처가 없거나 현재성이 확인되지 않으면 미검증으로 남긴다.
- 채널 형식·글자 수·광고 정책과 국내 표시·메시지 발송 규정에 관한 주장은 해당 최신 기준을 확인한다. 법령·정책 원문을 확인할 수 없으면 준수 PASS를 내지 않는다.
- CTA의 약속이 랜딩페이지 내용과 일치하는지 확인한다. 승인되지 않은 게시나 광고 상태 변경을 완료로 적었는지도 확인한다.
보고서는 판정(PASS/FAIL/미확인), 확인 자료, 수치별 재계산, 심각도·위치·근거가 있는 발견, 미검증 항목으로 작성한다. 핵심 근거가 없으면 그 범위를 PASS로 판정하지 않는다. 독립된 검수자를 실행하지 않았다면 독립 감사라고 부르지 않는다.
Claude의 performance-auditor 에이전트와 목적이 겹친다. ChatGPT 플러그인에서는 이 스킬이 발견 가능한 진입점이다.
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.
- 17d ago Changed · +1 lines a24587f42223
- 28d ago First seen · 21 lines · 54 tokens per session scan A 0fa0d500a512
marketing-evidence-audit is a skill published in the GitHub repository modu-ai/moai-cowork (311 stars, last pushed 15d ago), licensed Apache-2.0. It adds 54 tokens to every session and 456 once invoked, about $0.0002 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 2026-09-26.
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