# llmprobe

> Use this tool when you need to assess the performance of Large Language Model (LLM) APIs, as it probes endpoints and reports key health metrics such as time to first token, latency, and throughput, helping resolve issues with API responsiveness and data processing efficiency. It takes LLM API endpoints as input and outputs detailed performance reports. Use llmprobe to troubleshoot and optimize LLM API integrations in applications where timely and reliable language processing is critical.

Canonical page: https://skillsregistry.net/skills/jwrede-llmprobe  
JSON: https://api.skillsregistry.net/v1/skills/jwrede-llmprobe

## Description

Probe LLM API endpoints and report health metrics including time to first token, latency, and throughput.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/psprx255wv)
- **Repository:** <https://github.com/Jwrede/llmprobe>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jwrede-llmprobe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jwrede-llmprobe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jwrede-llmprobe/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt