openai-agent-harness-study (yunerjun4869-cmd/openai-agent-harness-study) is an MCP server listed on the M8ven Trust Index. It scores 60 out of 100, grade C. No publisher has claimed this listing.

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C
Caution
60/100

openai-agent-harness-study

面向小白的 OpenAI AI Agent 中文实战教程：17 章循序渐进，用 Python 学习工具调用、记忆、多 Agent 协作与任务验收。含 Mac/Windows 图文安装指南、可运行代码、无需 API Key 的离线演示和 66 项测试。

→ yunerjun4869-cmd/openai-agent-harness-study· listed on github_repo_search

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

yunerjun4869-cmd

Source: github_repo_search

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GitHub

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configOPENAI_MODEL3. 把 设置为账户可用且支持 Responses 工具调用的模型。
🔐 secretOPENAI_API_KEY2. 用纯文本编辑器打开 .env，在 = 后填入你自己的 OpenAI API Key。
configOPENAI_BASE_URL
configMCP_SERVER_URL
// quality suggestions

Tools detected

No tools extracted — insufficient content to verify at Tier 2

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// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 0 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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commit: 1551ab1b7ea10da42ae53db1349f3fe4e4d933fc
code hash: 7986ba4579630390bdd7c5e557b605e44a2bd9ad7348fd5910ac707600aa425f
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