# genpark-website-pre-launch-qa-bug-reporter-skill

> genpark-website-pre-launch-qa-bug-reporter-skill — alphaparkinc-genpark-website-pre-launch-qa-bug-reporter-skill. Use this tool when you need to automate website testing and identify bugs before launch, as it crawls and tests websites to generate comprehensive bug reports in a Superflow style. It solves problems related to manual QA testing, reducing time and effort spent on identifying and reporting issues. Input includes website URLs and git repository access, with output being detailed bug reports to facilitate swift resolution.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-website-pre-launch-qa-bug-reporter-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-website-pre-launch-qa-bug-reporter-skill

## Description

Autonomous website pre-launch QA agent that crawls, tests & generates bug reports (Superflow style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-website-pre-launch-qa-bug-reporter-skill)

## 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": "alphaparkinc-genpark-website-pre-launch-qa-bug-reporter-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-website-pre-launch-qa-bug-reporter-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-website-pre-launch-qa-bug-reporter-skill/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