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41/100
2 days ago

agent-learning-roadmap

→ MyuDaWang/agent-learning-roadmap· listed on github_code

Warning. Serious findings were identified. Review the full report before connecting. 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

MyuDaWang

Source: github_code

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// key findings
🚨
Reads files from sensitive locations
Touches: ~/.config/libreoffice/4/user/basic/Standard
🔐
You'll be asked for 1 credential: ANTHROPIC_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.
configANTHROPIC_BASE_URL
configMODEL_ID
🔐 secretANTHROPIC_API_KEY
configMODEL_NAME
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

10/10 tools missing one or more hints — mcp (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); bash (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); bashoutput (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +7 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool test coverage

5/10 tools referenced in tests (50%)

Write tests that reference each tool by name so every tool has at least one test.

No access to sensitive paths

Reads sensitive paths: ~/.config/libreoffice/4/user/basic/Standard

Remove reads of sensitive system paths. If you genuinely need them, document why in the README.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// 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 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Verified](https://m8ven.ai/badge/mcp/myudawang-agent-learning-roadmap-1mzj37?variant=verified)](https://m8ven.ai/mcp/myudawang-agent-learning-roadmap-1mzj37)
Shows verification status without the grade. Want the grade badge instead? Remove ?variant=verified from the URL.
commit: dd259545c9afc51da3150dd4781f1486231a5f4f
code hash: c1bc98bbfd2fdc6bf4de1eb793eb027434519ea9cfa09f2e7491fd872a55dc1c
verified: 8/17/2026, 10:03:42 AM
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