# human-survey

> human-survey — sunsiyuan-human-survey. Use this tool when you need to collect and analyze human feedback and opinions through surveys, solving problems related to user research, market analysis, and customer satisfaction. It takes in survey questions and respondent data as inputs and produces aggregated results and insights as outputs. Ideal for use cases where understanding human perspectives and behaviors is crucial, such as product development, marketing strategies, and social research.

Canonical page: https://skillsregistry.net/skills/sunsiyuan-human-survey  
JSON: https://api.skillsregistry.net/v1/skills/sunsiyuan-human-survey

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/sunsiyuan/human-survey)

## 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": "sunsiyuan-human-survey"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sunsiyuan-human-survey` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sunsiyuan-human-survey/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