# opik-claude-code-plugin

> opik-claude-code-plugin — comet-ml-opik-claude-code-plugin. Use this tool when you need to monitor and evaluate AI model performance, specifically for logging Claude Code sessions to track and analyze their behavior. It solves problems related to observability and evaluation of AI applications, providing tracing and skills for improved model management. The plugin takes Claude Code sessions as input and outputs logged data to Opik, ideal for use cases requiring transparent and measurable AI model performance.

Canonical page: https://skillsregistry.net/skills/comet-ml-opik-claude-code-plugin  
JSON: https://api.skillsregistry.net/v1/skills/comet-ml-opik-claude-code-plugin

## Description

Log Claude Code sessions to Opik, the open-source LLM observability and evaluation platform, built by Comet. Tracing, evaluation, and skills for observable AI applications.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/comet-ml/opik-claude-code-plugin)

## 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": "comet-ml-opik-claude-code-plugin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/comet-ml-opik-claude-code-plugin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/comet-ml-opik-claude-code-plugin/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
