# opik-openclaw

> opik-openclaw — brucekumar-opik-openclaw. Use this tool when you need to export OpenClaw agent traces for enhanced monitoring and diagnostics, solving issues with observability and insight into system performance. It takes OpenClaw agent traces as input and outputs compatible data for monitoring systems, providing a seamless interface for improved system analysis. Ideal for use cases requiring in-depth diagnostic insights and performance optimization.

Canonical page: https://skillsregistry.net/skills/brucekumar-opik-openclaw  
JSON: https://api.skillsregistry.net/v1/skills/brucekumar-opik-openclaw

## Description

Export OpenClaw agent traces to monitoring systems for improved observability and diagnostic insights.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/brucekumar/opik-openclaw)

## 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": "brucekumar-opik-openclaw"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brucekumar-opik-openclaw` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brucekumar-opik-openclaw/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