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Ai Intelligent Employee Survey

Name: Ai Intelligent Employee Survey
Author: yang1002378395-cmyk

作者 yang1002378395-cmyk · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

298

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-intelligent-employee-survey

功能描述

员工调研，问卷 + 分析 + 报告。

使用说明 (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

安全使用建议

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.

功能分析

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.

能力评估

ℹ 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.

ℹ 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.

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 ai-intelligent-employee-survey
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-intelligent-employee-survey 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

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

元数据

Slug ai-intelligent-employee-survey

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题