# askhuman

> askhuman — hagiss-askhuman. Use this tool when you need to leverage human judgment and decision-making to validate or inform AI-driven outcomes, solving problems such as data ambiguity, edge cases, or tasks requiring nuanced understanding. It takes in uncertain or complex inputs from AI systems and returns human-validated outputs, enabling more accurate and reliable decision-making. Ideal for use cases where AI alone is insufficient, such as content moderation, data annotation, or critical decision-support systems.

Canonical page: https://skillsregistry.net/skills/hagiss-askhuman  
JSON: https://api.skillsregistry.net/v1/skills/hagiss-askhuman

## Description

Human Judgment as a Service for AI agents.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-24

## Source

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

## 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": "hagiss-askhuman"
    }
  }
}
```

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