Train in Silence

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

→ hlpun/Train-in-Silence · listed on glama

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// 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.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configTIS_ALLOW_SAMPLE_FALLBACK

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 5 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 Score](https://m8ven.ai/badge/mcp/hlpun-train-in-silence-1d6puv)](https://m8ven.ai/mcp/hlpun-train-in-silence-1d6puv)

commit: a93bcbcb44800c1e5305ffe0ab83bb577a1b86dd

code hash: 6131b0e251ce832617ce589abc19da0c6f11f1bb4c14246075df7f3fa15535ba

verified: 6/17/2026, 11:39:32 AM

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