← 返回 Skills 市场
1103
总下载
0
收藏
7
当前安装
1
版本数
在 OpenClaw 中安装
/install excel-ai-analyzer
功能描述
Automatically analyze Excel data files to generate statistical summaries, detect anomalies, create visual charts, and provide analysis reports and suggestions.
使用说明 (SKILL.md)
Excel AI Analyzer
智能 Excel 数据分析技能 - 自动分析数据、生成统计报告、创建可视化图表。
功能
- 📊 自动数据分析:读取 Excel 文件,自动识别数据类型和结构
- 📈 统计分析:计算均值、中位数、标准差、趋势分析
- 🔍 异常检测:识别数据中的异常值和离群点
- 📝 报告输出:生成 Markdown 格式的分析报告
- 💡 智能建议:基于数据特征给出分析建议
使用方式
帮我分析这个 Excel 文件
上传:data.xlsx
或
分析 /path/to/file.xlsx 的销售数据
输出示例
- 数据概览(行数、列数、数据类型)
- 统计摘要(均值、最大/最小值、分布)
- 趋势分析(时间序列数据)
- 异常值标记
- 可视化图表
- 分析结论和建议
依赖
- xlsx (Excel 文件解析)
- chartjs-node-canvas (图表生成)
- markdown 生成
作者
倒里牢数 · 严谨专业版
版本
1.0.0
安全使用建议
What to consider before installing:
- The code performs local analysis only (reads an Excel file, computes stats, detects anomalies, writes a Markdown report). That matches the core description.
- The docs advertise chart generation and a chartjs-node-canvas dependency, but neither package.json nor index.js implements charting — the feature appears missing or the docs are out of date. If you need charts, ask the author or inspect/extend the code before relying on it.
- SKILL.md contains hidden unicode control characters (prompt-injection signal). Inspect the SKILL.md file in a text editor that can reveal invisible characters; remove them or request a clean copy from the author.
- There are no requested credentials or network calls in the code, which limits exfiltration risk, but still run npm install and tests in an isolated sandbox (or CI) before adding to a production agent.
- If you plan to use this on sensitive spreadsheets, run it in an isolated environment and review/modify the code to ensure it meets your security and feature requirements. If you need high confidence that nothing external is contacted, search the codebase for network APIs (http/https, child_process, net, fetch) — current files show none.
功能分析
Type: OpenClaw Skill
Name: excel-ai-analyzer
Version: 1.0.0
The skill bundle is a legitimate tool for analyzing Excel files and generating Markdown reports. The code in index.js uses the standard 'xlsx' library to perform basic statistical analysis and anomaly detection without any evidence of data exfiltration, malicious execution, or prompt injection. All behaviors align with the stated purpose in SKILL.md and README.md.
能力评估
Purpose & Capability
The skill's stated purpose (read Excel, stats, anomalies, charts, Markdown reports) mostly matches the code: index.js reads Excel, computes statistics, detects anomalies, and emits a Markdown report. However SKILL.md/README advertise chart generation and list chartjs-node-canvas as a dependency while package.json and index.js contain no chart-generation code or that dependency. This is an incoherence (possible unfinished feature or inaccurate docs).
Instruction Scope
Runtime instructions are scoped to 'upload / provide Excel file' and do not request unrelated files or credentials. However the SKILL.md contains detected unicode-control-chars (prompt-injection signal). Hidden control characters in documentation can be used to smuggle instructions into an agent context — this warrants manual inspection of SKILL.md for invisible characters before trusting the skill.
Install Mechanism
No explicit install spec is provided (instruction-only install). The package uses only the well-known npm dependency 'xlsx' (package.json/package-lock.json). There are no downloads from arbitrary URLs or archive extraction. package-lock references an npm mirror (registry.npmmirror.com), which is expected for npm distributed packages but worth noting if your environment restricts registries.
Credentials
The skill does not request environment variables, credentials, or config paths. The code performs only local file I/O on the provided Excel file. This level of access is proportionate to the claimed functionality.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent/agent-wide privileges or modify other skills. No elevated persistence or automatic always-on behavior detected.
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 excel-ai-analyzer - 安装完成后,直接呼叫该 Skill 的名称或使用
/excel-ai-analyzer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
Initial release of Excel AI Analyzer:
- Automatically analyzes Excel files, detects data types and structure.
- Provides statistical insights: mean, median, standard deviation, and trends.
- Detects anomalies and outliers in data.
- Generates analysis reports in Markdown format.
- Offers smart analysis suggestions based on data characteristics.
- Supports chart generation and markdown output.
元数据
常见问题
Excel AI Analyzer 是什么?
Automatically analyze Excel data files to generate statistical summaries, detect anomalies, create visual charts, and provide analysis reports and suggestions. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1103 次。
如何安装 Excel AI Analyzer?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install excel-ai-analyzer」即可一键安装,无需额外配置。
Excel AI Analyzer 是免费的吗?
是的,Excel AI Analyzer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Excel AI Analyzer 支持哪些平台?
Excel AI Analyzer 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 Excel AI Analyzer?
由 oct1st85(@oct1st85)开发并维护,当前版本 v1.0.0。
推荐 Skills