# io.github.craigmbrown/blindoracle

> Use this tool when you need to facilitate private and secure transactions in prediction markets, solving issues of user anonymity and data protection. It utilizes blind signatures to enable privacy-preserving agent settlement, ensuring that sensitive information remains confidential. Ideal for applications where user privacy is paramount, such as decentralized betting platforms or forecasting markets.

Canonical page: https://skillsregistry.net/skills/io-github-craigmbrown-blindoracle  
JSON: https://api.skillsregistry.net/v1/skills/io-github-craigmbrown-blindoracle

## Description

Privacy-preserving agent settlement for prediction markets via blind signatures.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 2.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.craigmbrown%2Fblindoracle)
- **Repository:** <https://github.com/craigmbrown/blindoracle-docs>

## Use it

MCP endpoint published by the skill: `https://craigmbrown.com/api/v2/`

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": "io-github-craigmbrown-blindoracle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-craigmbrown-blindoracle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-craigmbrown-blindoracle/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