# ci-patch-verification-agent

> ci-patch-verification-agent — liaohaodong1122-rgb-ci-patch-verification-agent. Use this tool when you need to manage and automate Continuous Integration (CI) patch verification workflows, solving problems such as streamlining patch testing and validation processes. It takes input through local stdio tools and outputs task status and results, enabling efficient tracking and cancellation of patch verification tasks. Ideal for use in development and testing environments where reliable patch verification is crucial.

Canonical page: https://skillsregistry.net/skills/liaohaodong1122-rgb-ci-patch-verification-agent  
JSON: https://api.skillsregistry.net/v1/skills/liaohaodong1122-rgb-ci-patch-verification-agent

## Description

This MCP server enables managing CI patch verification workflows by creating, running, tracing, previewing, and canceling patch verification tasks through local stdio tools.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/brj59272ho)
- **Repository:** <https://github.com/liaohaodong1122-rgb/ci-patch-verification-agent>

## 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": "liaohaodong1122-rgb-ci-patch-verification-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/liaohaodong1122-rgb-ci-patch-verification-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/liaohaodong1122-rgb-ci-patch-verification-agent/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
