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19 hours ago

annotation-pipeline-skill

Local-first agent skill for LLM-managed annotation pipelines

→ stardustai/annotation-pipeline-skill· 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.

How we verified

⚡ Live Monitored: not connected

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⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

stardustai

Source: github_code

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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// key findings
🚨
Reads files from sensitive locations
Touches: .credentials.json
// 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.
configVITE_API_TARGETUse =http://127.0.0.1:<port> when the API runs on another port.
// quality suggestions

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

No access to sensitive paths

Reads sensitive paths: .credentials.json

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

Shell command execution

1 child_process/subprocess call in production code — runs shell commands (annotation_pipeline_skill/interfaces/cli.py:2042)

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

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 3 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/stardustai-annotation-pipeline-skill-ee8saj?variant=verified)](https://m8ven.ai/mcp/stardustai-annotation-pipeline-skill-ee8saj)
Shows verification status without the grade. Want the grade badge instead? Remove ?variant=verified from the URL.
commit: 2dcbbe8cd546fab003f31afc9f4f529d67f02277
code hash: dc7bfc2cdeab854b1adffcae3ab23be7f91ecd45e40cd92bd842630c91a8680d
verified: 8/19/2026, 3:24:37 AM
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