# plzebo-mcp

> plzebo-mcp — wkoverfield-plzebo. Use this tool when you need to benchmark agent loops for cost parity, as it enables paired trials and provides statistical verdicts through retrieved receipts. It solves problems of uncertain cost comparisons and inconsistent trial evaluations by offering a standardized monitoring and benchmarking process. Ideal for use cases requiring data-driven decision-making and optimization of agent performance.

Canonical page: https://skillsregistry.net/skills/wkoverfield-plzebo  
JSON: https://api.skillsregistry.net/v1/skills/wkoverfield-plzebo

## Description

Enables cost-parity benchmarking of agent loops by starting, extending, and monitoring paired trials, and retrieving receipts with statistical verdicts.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v6cp2cen5g)
- **Repository:** <https://github.com/wkoverfield/plzebo>

## 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": "wkoverfield-plzebo"
    }
  }
}
```

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