# agent-regress

> agent-regress — gaurav7974-agent-regress. Use this tool when you need to execute and evaluate regression tests for Large Language Model (LLM) agents, providing a local MCP server for AI coding agents to diff and refine their performance. It solves problems related to testing and validation of LLM agents, ensuring their accuracy and reliability. The tool accepts test inputs and outputs evaluation results, making it ideal for use cases where thorough testing and debugging of AI models are required.

Canonical page: https://skillsregistry.net/skills/gaurav7974-agent-regress  
JSON: https://api.skillsregistry.net/v1/skills/gaurav7974-agent-regress

## Description

A local MCP server that provides tools for AI coding agents to execute, evaluate, and diff regression tests for LLM agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m6al9vg2qk)
- **Repository:** <https://github.com/Gaurav7974/agent-regress>

## 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": "gaurav7974-agent-regress"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gaurav7974-agent-regress` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gaurav7974-agent-regress/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