# opmetrics

> opmetrics — frostby-opmetrics. Use this tool when you need to analyze engineering operations and gain insights into delivery, cost, and risk for small software teams. It provides drillable metrics down to the source record, utilizing git data to inform decision-making. Ideal for teams seeking self-hosted analytics solutions to optimize their software development processes.

Canonical page: https://skillsregistry.net/skills/frostby-opmetrics  
JSON: https://api.skillsregistry.net/v1/skills/frostby-opmetrics

## Description

Self-hosted engineering-operations analytics for small software teams: delivery, cost and risk, drillable to the source record. FSL-1.1-ALv2, Apache 2.0 after two years.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/FrostBy/opmetrics)

## 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": "frostby-opmetrics"
    }
  }
}
```

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