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Ai Intelligent Employee Survey
by
yang1002378395-cmyk
· GitHub ↗
· v1.0.0
· MIT-0
298
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install ai-intelligent-employee-survey
Description
员工调研，问卷 + 分析 + 报告。
README (SKILL.md)
AI 智能员工调研系统
描述
员工调研，问卷 + 分析 + 报告。
功能
- 问卷设计（可视化设计）
- 匿名调研（隐私保护）
- 数据分析（自动分析）
- 报告生成（自动生成）
- 改进跟踪（问题跟踪）
定价
- 基础版：¥49/月（5 调研/月）
- 专业版：¥199/月（50 调研/月）
- 企业版：¥799/月（无限调研）
适用场景
- 员工满意度
- 组织诊断
- 意见收集
- 改进跟踪
技术栈
- Python + FastAPI
- 问卷系统
- 数据分析
- 报告生成
安装
git clone https://github.com/openclaw-skills/ai-intelligent-employee-survey
cd ai-intelligent-employee-survey
pip install -r requirements.txt
python app.py
创建：2026-03-13 作者：OpenClaw Skills Team
Usage Guidance
This skill tells you to clone and run a GitHub repository that is not bundled with the skill — that is the main red flag. Before installing or running anything: 1) Inspect the GitHub repository and specific commit/branch the instructions point to; do not run master/main blindly. 2) Review requirements.txt and the repository code for network calls, credential exfiltration, or surprising install-time scripts. 3) Run the code in an isolated environment (VM or sandbox) and a Python virtualenv, not on a production host. 4) Prefer a pinned release (tag/commit) and checksum verification; ask the skill author for a homepage, maintainer contact, or packaged release. 5) Consider privacy: decide where survey data will be stored and who can access it; confirm the server does not upload responses to third-party endpoints. If you cannot verify the remote repository and its behavior, do not run these instructions on systems that contain sensitive data.
Capability Analysis
Type: OpenClaw Skill
Name: ai-intelligent-employee-survey
Version: 1.0.0
The skill bundle contains only metadata and a descriptive markdown file (SKILL.md) for an AI-driven employee survey system. It lacks any executable code, suspicious instructions, or indicators of malicious intent, providing only standard documentation and installation steps for a FastAPI-based application.
Capability Assessment
Purpose & Capability
The name and description (employee survey, questionnaire + analysis + reports) match the declared tech stack (Python + FastAPI) and the installation steps. However, the skill package contains no code or install spec — instead the SKILL.md tells you to fetch a GitHub repository. That is plausible but inconsistent with an instruction-only skill that otherwise provides its runtime logic inline.
Instruction Scope
Runtime instructions tell the operator to run: git clone https://github.com/openclaw-skills/ai-intelligent-employee-survey; pip install -r requirements.txt; python app.py. Those steps fetch and execute remote code and install external Python packages; the SKILL.md does not require or list any environment variables, nor does it specify verifying repository origin, tag, or checksums. Asking the agent/operator to fetch and execute arbitrary external code is scope creep from a simple instructive description and increases risk.
Install Mechanism
There is no formal install spec in the skill metadata; the only install mechanism is the free-text instructions to clone a GitHub repo and pip-install dependencies. While GitHub is a common host, the instructions do not pin a release or commit, do not instruct verifying signatures/checksums, and pip install will pull packages from PyPI (potentially with install-time scripts). This is higher risk than an instruction-only skill that performs no external fetches.
Credentials
The skill does not request environment variables or credentials in its metadata, which is proportionate to the description. However, because this is an employee-survey system that will process potentially sensitive personnel data, absence of declared secrets does not eliminate privacy or data-exfiltration risks — the fetched code could require or send credentials or upload data to external endpoints not documented here.
Persistence & Privilege
The skill does not request always: true, nor does it declare any privileged or persistent agent modifications. The instructions would run a separate server (python app.py) if followed, but the skill itself does not request elevated platform privileges in the metadata.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-intelligent-employee-survey - After installation, invoke the skill by name or use
/ai-intelligent-employee-survey - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
ai-intelligent-employee-survey 1.0.0
- 首次发布，提供员工调研问卷的设计、匿名收集、自动数据分析和报告生成功能
- 支持调研改进跟踪与问题追踪
- 提供多种定价方案以满足不同规模企业需求
- 基于 Python + FastAPI 技术栈构建
Metadata
Frequently Asked Questions
What is Ai Intelligent Employee Survey?
员工调研，问卷 + 分析 + 报告。 It is an AI Agent Skill for Claude Code / OpenClaw, with 298 downloads so far.
How do I install Ai Intelligent Employee Survey?
Run "/install ai-intelligent-employee-survey" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ai Intelligent Employee Survey free?
Yes, Ai Intelligent Employee Survey is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ai Intelligent Employee Survey support?
Ai Intelligent Employee Survey is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ai Intelligent Employee Survey?
It is built and maintained by yang1002378395-cmyk (@yang1002378395-cmyk); the current version is v1.0.0.
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