# human-state

> Use this tool when you need to analyze or understand human emotions, behaviors, or physical conditions, as it provides insights into various aspects of human states, solving problems related to sentiment analysis, emotional intelligence, or health monitoring. It takes in text, speech, or physiological data as inputs and outputs categorized human states, such as emotions, activities, or health status. This tool is useful in contexts like customer service, mental health support, or human-computer interaction.

Canonical page: https://skillsregistry.net/skills/nefesh-ai-human-state  
JSON: https://api.skillsregistry.net/v1/skills/nefesh-ai-human-state

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-27

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/nefesh-ai/human-state)

## 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": "nefesh-ai-human-state"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nefesh-ai-human-state` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nefesh-ai-human-state/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