# okf-ons

> okf-ons — chris-page-gov-okf-ons. Use this tool when you need to efficiently discover and select ONS datasets without incurring network costs, and it solves problems of data exploration and filtering by providing access to dataset descriptions, dimensions, and alternatives. It takes a frozen metadata bundle as input and returns relevant dataset information as output. This tool is ideal for use cases where offline or low-latency data discovery is required.

Canonical page: https://skillsregistry.net/skills/chris-page-gov-okf-ons  
JSON: https://api.skillsregistry.net/v1/skills/chris-page-gov-okf-ons

## Description

Enables discovery and selection of ONS datasets using a frozen metadata bundle, providing bounded access to dataset descriptions, dimensions, and alternatives without making network calls or returning observation values.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yfrr1wm7cw)
- **Repository:** <https://github.com/chris-page-gov/okf-ons>

## 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": "chris-page-gov-okf-ons"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chris-page-gov-okf-ons` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chris-page-gov-okf-ons/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