# trustoracle

> trustoracle — tooloracle-trustoracle. Use this tool when you need to verify the accuracy and reliability of AI-generated information, and ensure trustworthy decision-making through standardized evidence evaluation and verification. The trustoracle tool solves problems of data integrity and authenticity by providing a robust trust layer with features like claim verification, provenance tracing, and hallucination detection. It takes in AI-generated claims and outputs a verdict schema with actions to proceed, caution, abstain, or escalate, enabling informed decision-making in high-stakes applications.

Canonical page: https://skillsregistry.net/skills/tooloracle-trustoracle  
JSON: https://api.skillsregistry.net/v1/skills/tooloracle-trustoracle

## Description

FeedOracle Trust Layer — Verifiable evidence & verification MCP server for AI agents. 10 tools: claim verification, ES256K-signed facts, provenance tracing, freshness guard, hallucination detection, confidence gates, on-chain evidence anchoring. Standardized verdict schema with proceed/caution/abstain/escalate actions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/ToolOracle/trustoracle)

## 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": "tooloracle-trustoracle"
    }
  }
}
```

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