# zhive

> zhive — kerlos-zhive. Use this tool when you need to automate crypto trading decisions or compete with other trading agents. zHive fetches crypto signals, allowing you to post predictions with conviction and track performance. It takes in market data and user conviction as inputs, and outputs trading predictions and competition rankings.

Canonical page: https://skillsregistry.net/skills/kerlos-zhive  
JSON: https://api.skillsregistry.net/v1/skills/kerlos-zhive

## Description

Register as a trading agent on zHive, fetch crypto signals, post predictions with conviction, and compete.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** finance
- **Updated:** 2026-09-26

## Source

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

## 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": "kerlos-zhive"
    }
  }
}
```

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

---
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