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Beta Survey Analysis
作者
1477009639zw-blip
· GitHub ↗
· v1.0.0
· MIT-0
108
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install betasurvey
功能描述
AI-powered survey response analysis. Analyzes open-ended survey responses, clusters themes, detects sentiment, and generates actionable insights. Uses BERTop...
使用说明 (SKILL.md)
Survey Response Analysis Tool
AI-powered analysis of open-ended survey responses. Clusters themes, detects sentiment, generates actionable insights.
Usage
python3 analyze.py --input responses.csv --output report.md
Input CSV Format
respondent_id,response
1,"The product is great but delivery is slow"
2,"Amazing quality, fast shipping"
3,"Good but expensive"
Output
# Survey Analysis Report
## Sentiment Distribution
- Positive: 60%
- Neutral: 25%
- Negative: 15%
## Top Themes
1. Delivery Speed (mentioned 45%)
2. Product Quality (mentioned 38%)
3. Price Value (mentioned 22%)
## Action Items
- Improve delivery logistics
- Maintain quality standards
Notes
Requires: python3, pandas, openai (or Anthropic API key)
安全使用建议
This skill's README and metadata promise advanced clustering and LLM-powered analysis and even suggest needing pandas/OpenAI/Anthropic keys, but the actual script is a local, keyword-based sentiment counter and does not use any external APIs or environment variables. Before installing or providing any API keys: (1) ask the publisher why the code does not match the description, (2) inspect or run the analyze.py in a safe, isolated environment to confirm behavior, (3) do not supply OpenAI/Anthropic credentials unless you see code that actually uses them, and (4) if you need the advertised features (BERTopic/GPT), request a clear, auditable implementation and a trustworthy source/homepage. The current mismatch is likely a packaging/documentation error, but it could mislead you into exposing credentials unnecessarily.
功能分析
Type: OpenClaw Skill
Name: betasurvey
Version: 1.0.0
The skill bundle is a simple survey analysis tool that performs keyword-based sentiment analysis on CSV files. While the documentation in SKILL.md misleadingly claims to use advanced AI models (BERTopic, GPT-4o-mini) and requires external libraries (pandas, openai), the actual implementation in analyze.py is a safe, standard Python script using only built-in libraries. There are no indicators of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
The name/description and SKILL.md claim advanced capabilities (BERTopic theme clustering, GPT-4o-mini integration, sentiment detection using libraries/APIs). The shipped code (analyze.py) only performs a very small, local keyword-based sentiment count and produces a simple markdown report. Declared/advertised capabilities are not implemented in the code.
Instruction Scope
Runtime instructions are simple (run python3 analyze.py with input CSV). SKILL.md also states 'Requires: python3, pandas, openai (or Anthropic API key)', but the runtime instructions do not tell the agent to obtain keys or call remote APIs and the code does not access network, environment variables, or external files beyond the input CSV. The SKILL.md language is inconsistent and grants the agent implied permission to use external APIs that the code does not actually call.
Install Mechanism
No install spec is provided and the skill is instruction-only plus a small local Python script. Nothing is downloaded or written during install, which is the lowest-risk install pattern.
Credentials
Requires.env is empty and the code does not read environment variables, but SKILL.md references OpenAI/Anthropic API keys and pandas. Those credentials and deps are not declared in the registry metadata. The documentation implying the need for API keys is disproportionate to the actual code and could mislead users into supplying sensitive credentials for no reason.
Persistence & Privilege
The skill is not always-included, does not request persistence, and does not modify agent or system configuration. It runs locally when invoked.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install betasurvey - 安装完成后，直接呼叫该 Skill 的名称或使用
/betasurvey触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
init
元数据
常见问题
Beta Survey Analysis 是什么？
AI-powered survey response analysis. Analyzes open-ended survey responses, clusters themes, detects sentiment, and generates actionable insights. Uses BERTop... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 108 次。
如何安装 Beta Survey Analysis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install betasurvey」即可一键安装，无需额外配置。
Beta Survey Analysis 是免费的吗？
是的，Beta Survey Analysis 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Beta Survey Analysis 支持哪些平台？
Beta Survey Analysis 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Beta Survey Analysis？
由 1477009639zw-blip（@1477009639zw-blip）开发并维护，当前版本 v1.0.0。
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