# EvalView

> Use this tool when you need to validate AI agent workflows and ensure their output quality, particularly in regression testing scenarios where consistency and accuracy are crucial. EvalView solves problems related to workflow reliability, CI/CD pipeline integration, and framework compatibility, supporting multiple AI frameworks. It takes in workflow configurations and test cases as inputs and outputs evaluation results, including optional LLM-as-judge scoring, to help refine AI agent performance.

Canonical page: https://skillsregistry.net/skills/hidai25-evalview  
JSON: https://api.skillsregistry.net/v1/skills/hidai25-evalview

## Description

Provides regression testing capabilities for AI agent workflows including golden baseline comparisons, CI/CD pipeline integration, and support for multiple frameworks like LangGraph, CrewAI, OpenAI, and Claude. Tests can evaluate tool usage, execution sequences, and output quality with optional LLM-as-judge scoring.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hidai25-evalview)
- **Repository:** <https://github.com/hidai25/eval-view>

## 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": "hidai25-evalview"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hidai25-evalview` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hidai25-evalview/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