# genpark-llm-trace-latency-cost-anomaly-detector-skill

> genpark-llm-trace-latency-cost-anomaly-detector-skill — alphaparkinc-genpark-llm-trace-latency-cost-anomaly-detector-skill. Use this tool when you need to detect anomalies in latency and token costs for large language models (LLMs). It analyzes LLM trace latency breakdowns and identifies unusual patterns, providing insights into potential issues and optimization opportunities. Ideal for use cases involving performance monitoring and cost optimization of LLMs, with inputs including LLM trace data and outputs highlighting anomaly detection results.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-llm-trace-latency-cost-anomaly-detector-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-llm-trace-latency-cost-anomaly-detector-skill

## Description

LLM trace latency breakdown & token cost anomaly detector (LangSmith style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-llm-trace-latency-cost-anomaly-detector-skill)

## 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": "alphaparkinc-genpark-llm-trace-latency-cost-anomaly-detector-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-llm-trace-latency-cost-anomaly-detector-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-llm-trace-latency-cost-anomaly-detector-skill/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