# emotion-state

> emotion-state — emotion-state. Use this tool when you need to analyze the emotional tone of free-form text and identify the primary emotion expressed. It solves problems such as sentiment analysis, tone detection, and emotion recognition, providing a confidence score for the detected emotion. The tool takes in text input and outputs the primary emotion and confidence level, making it ideal for text-processing tasks that require emotional intelligence.

Canonical page: https://skillsregistry.net/skills/emotion-state  
JSON: https://api.skillsregistry.net/v1/skills/emotion-state

## Description

Lightweight sentiment/tone classifier over free-form text. Returns primary emotion + confidence. Pure-JS, runs in-Worker. Cortex BUILTIN — no bundle needed.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** worker
- **Runtime environment:** api
- **Category:** other
- **Tags:** sentiment, nlp, cortex-builtin
- **Updated:** 2026-08-30

## Source

- **Source listing:** Cognium (first-party)

## 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": "emotion-state"
    }
  }
}
```

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