# some-skill

> Use this tool when you need to search and discover AI agents, as it provides access to a vast database of agents via the OpenClaw API, solving problems of agent discovery and integration, and accepts queries as input to output relevant agent information. It is ideal for use cases requiring AI agent cataloging, filtering, and retrieval. This tool streamlines the process of finding suitable AI agents for various applications and projects.

Canonical page: https://skillsregistry.net/skills/victor775-some-skill  
JSON: https://api.skillsregistry.net/v1/skills/victor775-some-skill

## Description

Search and discover AI agents via the OpenClaw (8004scan.io) API.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-06-11

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/victor775-some-skill)

## 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": "victor775-some-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/victor775-some-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/victor775-some-skill/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