# MCP Workflow Engine

> Use this tool when you need to automate and optimize AI coding workflows by analyzing dependencies, detecting potential impacts, and verifying build integrity. It solves problems related to workflow efficiency, error detection, and code reliability, providing inputs such as code repositories and outputs like verified builds and impact reports. Ideal for use in complex software development projects where automated workflow management is crucial.

Canonical page: https://skillsregistry.net/skills/rubinownz111-agent-accuracy  
JSON: https://api.skillsregistry.net/v1/skills/rubinownz111-agent-accuracy

## Description

Provides AI coding agents with dependency analysis, impact detection, and build verification tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mc63y5ns06)
- **Repository:** <https://github.com/rubinownz111/agent-accuracy>

## 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": "rubinownz111-agent-accuracy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rubinownz111-agent-accuracy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rubinownz111-agent-accuracy/pull`

---
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