# config-field

> config-field — redcontritio-config-field. Use this tool when you need to validate OpenClaw configuration fields against the official Zod schema to ensure data consistency and accuracy. It solves problems related to invalid or malformed configuration data by checking inputs against a predefined schema and outputting validation results. Ideal for use cases where configuration data needs to be verified, such as during setup or deployment processes.

Canonical page: https://skillsregistry.net/skills/redcontritio-config-field  
JSON: https://api.skillsregistry.net/v1/skills/redcontritio-config-field

## Description

Validate OpenClaw configuration fields against the official Zod schema.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/redcontritio-config-field)

## 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": "redcontritio-config-field"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/redcontritio-config-field` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/redcontritio-config-field/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