# skillbench

> skillbench — g9pedro-skillbench. Use this tool when you need to track and compare the performance of different skill versions, identify areas for improvement, and receive signals for self-enhancement. It solves problems related to skill evaluation, version control, and progress monitoring, providing inputs such as skill versions and performance data, and outputs like benchmark results and improvement suggestions. Ideal for use in contexts where skill optimization and continuous improvement are crucial.

Canonical page: https://skillsregistry.net/skills/g9pedro-skillbench  
JSON: https://api.skillsregistry.net/v1/skills/g9pedro-skillbench

## Description

Track skill versions, benchmark performance, compare improvements, and get self-improvement signals.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/g9pedro-skillbench)

## 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": "g9pedro-skillbench"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/g9pedro-skillbench` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/g9pedro-skillbench/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