# Acceptance Criteria Extractor

> Acceptance Criteria Extractor — yanke1816-acceptance-criteria-extractor. Use this tool when you need to extract and structure acceptance criteria from requirement documents or user stories, to clarify and organize testing conditions. It solves problems of manual criteria identification and test case creation, by automatically parsing texts and returning structured criteria and Given/When/Then pieces. This tool is ideal for use in software development, testing, and quality assurance contexts, where clear acceptance criteria are essential.

Canonical page: https://skillsregistry.net/skills/yanke1816-acceptance-criteria-extractor  
JSON: https://api.skillsregistry.net/v1/skills/yanke1816-acceptance-criteria-extractor

## Description

Extracts explicitly written acceptance criteria from requirement documents, user stories, and similar texts, returning structured criteria and Given/When/Then pieces.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oh4kyawb68)
- **Repository:** <https://github.com/YanKe1816/acceptance-criteria-extractor>

## 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": "yanke1816-acceptance-criteria-extractor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yanke1816-acceptance-criteria-extractor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yanke1816-acceptance-criteria-extractor/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