# sendiment

> sendiment — benjaminmower-sendiment. Use this tool when you need to track and analyze the sentiment of thoughts, opinions, or feedback, and cast them into a collective consciousness, solving problems of opinion aggregation and trend analysis, with inputs of text-based thoughts and outputs of sentiment scores, and use it in contexts where public opinion matters, such as social media monitoring or customer feedback analysis. It integrates with git for version control and collaboration. This tool is ideal for understanding the emotional tone of text data.

Canonical page: https://skillsregistry.net/skills/benjaminmower-sendiment  
JSON: https://api.skillsregistry.net/v1/skills/benjaminmower-sendiment

## Description

cast your thoughts into the river of consciousness

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/benjaminmower/sendiment)

## 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": "benjaminmower-sendiment"
    }
  }
}
```

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