# gherkio

> gherkio — muhfaris-gherkio. Use this tool when you need to simplify HTTP-based integration testing by describing scenarios in declarative YAML files, allowing for easy definition of requests, assertions, and variable extractions. It solves problems of test maintenance and readability, providing a human-readable format for orchestrating tests. Ideal for use in git-based development workflows where maintainable and scalable testing is crucial.

Canonical page: https://skillsregistry.net/skills/muhfaris-gherkio  
JSON: https://api.skillsregistry.net/v1/skills/muhfaris-gherkio

## Description

Gherkio lets you describe HTTP-based integration tests as declarative YAML scenarios. Define requests, assertions, variable extractions, and orchestration — all in a simple, human-readable format that stays maintainable over time.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/muhfaris/gherkio)

## 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": "muhfaris-gherkio"
    }
  }
}
```

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