# sentry-observability

> sentry-observability — sergical-sentry-observability. Use this tool when you need to monitor and troubleshoot issues in your OpenClaw instance, sending errors, logs, and traces to Sentry for enhanced observability. It solves problems related to error tracking, logging, and performance monitoring, providing valuable insights for debugging and optimization. Ideal for use cases requiring real-time visibility into application health and performance.

Canonical page: https://skillsregistry.net/skills/sergical-sentry-observability  
JSON: https://api.skillsregistry.net/v1/skills/sergical-sentry-observability

## Description

Add observability to your OpenClaw instance — errors, logs, and traces sent to Sentry.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** monitoring
- **Updated:** 2026-09-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/sergical-sentry-observability)

## 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": "sergical-sentry-observability"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sergical-sentry-observability` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sergical-sentry-observability/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