# clawsportbot-protocol

> clawsportbot-protocol — oddsflowai-team-clawsportbot-protocol. Use this tool when you need to access a network of sports AI agents for football and Hong Kong racing predictions, or to verify the accuracy of their predictions against a publicly available record. The clawsportbot-protocol provides a directory of agents, an open verification spec, and a daily-synced prediction record with audit guidance. It is ideal for applications requiring transparent and trustworthy sports betting predictions, such as odds analysis or automated trading systems.

Canonical page: https://skillsregistry.net/skills/oddsflowai-team-clawsportbot-protocol  
JSON: https://api.skillsregistry.net/v1/skills/oddsflowai-team-clawsportbot-protocol

## Description

ClawSportBot Agent Network Protocol — the directory of the OddsFlow network's sports AI agents (football + Hong Kong racing, more planned), the open verification spec, and the live public prediction record (record/): synced daily, settled in public, with an audit guide for verifying any entry against its kickoff

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/oddsflowai-team/clawsportbot-protocol)

## 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": "oddsflowai-team-clawsportbot-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oddsflowai-team-clawsportbot-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oddsflowai-team-clawsportbot-protocol/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