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在 OpenClaw 中安装
/install smart-data-insights
功能描述
Enterprise-grade data analysis assistant. Clean, analyze, and visualize data automatically. **Triggers when user mentions:** - Data cleaning: "数据清洗", "整理数据",...
安全使用建议
This skill mostly looks like a normal local Python data-analysis tool, but you should not install or run it blind. Before installing: (1) Ask for and review the full contents of test.sh and all tools/*.py to ensure there are no network calls, telemetry, or commands that exfiltrate files or credentials. (2) Inspect install.sh and test.sh locally (do not run them) or run them in a disposable/sandboxed environment (container or VM). (3) Confirm the apparent mismatch in registry metadata (it says "instruction-only" but includes install scripts and code) and ask the publisher to explain enterprise features (API/SSO) referenced in marketing — if those exist, review how credentials are handled. (4) If you must run it on sensitive data, run a code-only dry run (static review) or run it against synthetic data first, and ensure no automatic uploads (S3, mail, analytics) are triggered. If you can't review the omitted Python files, treat the package as untrusted.
功能分析
Type: OpenClaw Skill
Name: smart-data-insights
Version: 1.0.2
The 'smart-data-insights' skill is a legitimate data analysis utility designed to clean, analyze, and visualize tabular data (CSV, Excel, JSON) locally using standard Python libraries like pandas and matplotlib. A review of the core logic in tools/analyze.py and the installation scripts (install.sh, test.sh) reveals no evidence of malicious intent, data exfiltration, or unauthorized system modifications. The package includes extensive documentation and marketing materials consistent with a well-developed, benign productivity tool.
能力评估
Purpose & Capability
The skill name, description, required binaries (python3, pip3), and listed Python deps (pandas, openpyxl, matplotlib) align with a local data analysis tool. However: (1) registry metadata at the top claims "No install spec — instruction-only skill" while SKILL.md includes an install section and installScripts (install.sh), and code files are present — this is inconsistent; (2) marketing/pricing mention enterprise features (API access, SSO, hosted signup) that are not implemented or justified by the packaged code and docs. These mismatches are worth clarifying.
Instruction Scope
SKILL.md instructs local processing and shows only local commands (calling tools/analyze.py etc.), which is appropriate. But the runtime install script runs test.sh and the repository contains executable Python tools (tools/*.py) whose full sources were omitted from the provided content. Because test.sh and the tools code were not shown, we cannot confirm they confine themselves to local data — test scripts or tools could perform network I/O or other unexpected actions. Documentation includes example commands that optionally upload or email reports (aws s3 cp, mail) — these are examples, not necessarily executed by the skill, but they indicate possible integration points that could be used to send data externally if enabled.
Install Mechanism
The install flow uses pip3 to install common Python packages (pandas, openpyxl, matplotlib, seaborn) and an install.sh script to run tests and chmod files. This is a standard packaging approach and does not pull code from obscure URLs or use archive extraction. Risk is moderate because pip installs packages from PyPI (expected for Python projects), and install.sh executes test.sh (contents not shown), so the script should be reviewed before running.
Credentials
The skill requests no environment variables or credentials. It creates/uses a per-skill config path (~/.openclaw/skills/data-analyst/config.json) which is reasonable. There are no declared credentials or sensitive env vars required by the skill, so requested environment access appears proportionate to the declared purpose.
Persistence & Privilege
The skill is not marked always:true and does not claim or appear to modify other skills or global agent settings. install.sh sets permissions and runs tests inside the skill folder; that is standard for self-installing skills and not privileged beyond the user's account. No autonomous invocation flags are unusual beyond the platform defaults.
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 smart-data-insights - 安装完成后，直接呼叫该 Skill 的名称或使用
/smart-data-insights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
v1.0.2
- Added support for install scripts: metadata now includes an "installScripts" entry with ["install.sh"].
- No other functional or descriptive changes.
v1.0.1
Version 1.0.1 of smart-data-insights
- No code or document changes detected in this release.
- Existing SKILL.md and feature set remain unchanged.
v1.0.0
Initial release of the smart-data-insights (data-analyst) skill:
- Automates data cleaning, analysis, and visualization for enterprise data workflows.
- Supports Excel (.xlsx), CSV, JSON, and TSV file formats for reading and writing.
- Provides tools for statistical summaries, trend analysis, visualizations (charts/graphs), and automated report generation.
- Install instructions and troubleshooting guidance included for smooth setup.
- Includes Chinese trigger phrases for seamless integration with various data-related tasks.
元数据
常见问题
Data Analyst 是什么？
Enterprise-grade data analysis assistant. Clean, analyze, and visualize data automatically. **Triggers when user mentions:** - Data cleaning: "数据清洗", "整理数据",... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 132 次。
如何安装 Data Analyst？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install smart-data-insights」即可一键安装，无需额外配置。
Data Analyst 是免费的吗？
是的，Data Analyst 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Data Analyst 支持哪些平台？
Data Analyst 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 Data Analyst？
由 analytica（@wuyandong8）开发并维护，当前版本 v1.0.2。
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