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.
git 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/plugins/modu-ai/moai-cowork/moai-analyst)<a href="https://agentmods.dev/plugins/modu-ai/moai-cowork/moai-analyst"><img src="https://agentmods.dev/badge/plugins/modu-ai/moai-cowork/moai-analyst/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/plugins/modu-ai/moai-cowork/moai-analyst"><img src="https://agentmods.dev/badge/plugins/modu-ai/moai-cowork/moai-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
moai-analyst 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
{
"name": "moai-analyst",
"displayName": "📊 데이터 애널리스트",
"version": "1.3.7",
"description": "데이터·공공데이터 분석 전담 AI 코워커 — 데이터 프로파일링·시각화, 공공데이터 조회(부동산·경매·주식·KOSIS·건축물대장) 스킬. KOSIS 통계·건축HUB·DART 전자공시 MCP 연동. 자연어 요청 시 매칭 스킬이 자동 호출됩니다. 이런 분께 추천: 데이터 애널리스트·사무직·기획자·자영업 운영자.",
"author": {
"name": "모두의 AI",
"email": "[email protected]"
},
"license": "Apache-2.0",
"userConfig": {
"DART_API_KEY": {
"type": "string",
"title": "OpenDART 인증키",
"description": "opendart.fss.or.kr 회원가입 후 인증키 신청 — 이메일로 즉시 발급되는 40자 키입니다. 하루 20,000건 무료.",
"sensitive": true
}
}
}
What it installs
The manifest is a name and a version. 9 skills, 2 agents travel with it, and installing the plugin installs all of them — 2,081 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill data-building-ledger A 456 tokens
- Skill data-court-auction A 272 tokens
- Skill data-realestate A 230 tokens
- Skill data-stock A 223 tokens
- Skill data-visualizer A 129 tokens
- Skill data-public A 273 tokens
- Skill data-explorer A 97 tokens
- Skill data-workflow A 67 tokens
- Skill data-provenance-audit A 68 tokens
- Agent data-analyst A 123 tokens
- Agent data-provenance-auditor A 143 tokens
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 3ab825307a09
- 28d ago Changed e007334bac91
- 1mo ago Changed · +8 lines 260e4f710a76
- 1mo ago First seen · 12 lines scan A 1628fe7498b3
moai-analyst is a plugin published in the GitHub repository modu-ai/moai-cowork (311 stars, last pushed 15d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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