# github-action

> github-action — shiplightai-github-action. Use this tool when you need to automate end-to-end testing for your codebase on every pull request, streamlining your continuous integration (CI) workflow and ensuring code quality. It takes in GitHub pull requests as input and outputs test results, helping to identify and fix issues early on. Ideal for CI/CD pipelines, this tool saves time and reduces manual testing efforts.

Canonical page: https://skillsregistry.net/skills/shiplightai-github-action  
JSON: https://api.skillsregistry.net/v1/skills/shiplightai-github-action

## Description

Run Shiplight end-to-end tests in CI on every pull request

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/ShiplightAI/github-action)

## 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": "shiplightai-github-action"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shiplightai-github-action` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shiplightai-github-action/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