# sanctifai

> Use this tool when you need to integrate human judgment into AI workflows, enabling tasks that require human validation or input to be created and managed programmatically. It solves problems such as data validation, content moderation, and annotation by leveraging human-in-the-loop capabilities. The tool accepts task definitions as input and outputs human-generated responses, ideal for use cases where machine learning models require high-quality, human-validated data.

Canonical page: https://skillsregistry.net/skills/ndgates-sanctifai  
JSON: https://api.skillsregistry.net/v1/skills/ndgates-sanctifai

## Description

Interface with the SanctifAI Human-in-the-Loop API to create tasks and wait for human responses.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** productivity
- **Updated:** 2026-05-21

## Source

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

## 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": "ndgates-sanctifai"
    }
  }
}
```

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