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Data Analyzer
作者
371166758-qq
· GitHub ↗
· v1.0.0
· MIT-0
141
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install qf-data-analyzer
功能描述
Interpret CSV, JSON, and structured data to profile, identify trends, detect anomalies, compare categories, extract insights, and recommend clear visualizati...
安全使用建议
This skill is instruction-only and consistent with its stated purpose. Before using it, avoid pasting sensitive personal or proprietary data unless you trust the destination; prefer anonymized or sampled data for initial analysis. Verify any derived conclusions (correlation vs causation, anomaly causes) with domain knowledge or original data sources, and use local tools (Excel, pandas, BI) for processing very large datasets rather than pasting them into chat.
功能分析
Type: OpenClaw Skill
Name: qf-data-analyzer
Version: 1.0.0
The skill bundle provides a standard framework for data analysis, profiling, and visualization recommendations for CSV and JSON data. The instructions in SKILL.md are purely analytical and do not contain any malicious directives, network requests, or attempts to access sensitive system information.
能力评估
Purpose & Capability
The name and description (CSV/JSON/structured data profiling, trends, anomalies, visualization recommendations) match the SKILL.md content. There are no unexpected requirements (no credentials, binaries, or unrelated services) requested.
Instruction Scope
The instructions are narrowly focused on data profiling, statistical summaries, trend and anomaly detection, insight structuring, and visualization recommendations. The SKILL.md does not instruct the agent to read unrelated system files, environment variables, or to transmit data to external endpoints beyond normal analysis guidance. It assumes the user provides the dataset (paste/upload) which is appropriate for this purpose.
Install Mechanism
There is no install spec and no code files — this is an instruction-only skill. That minimizes disk writes and arbitrary code execution risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. The analysis tasks described do not appear to need additional secrets or privileged access.
Persistence & Privilege
Defaults are used (always: false, model invocation enabled). The skill does not request permanent presence or modification of other skills or agent-wide settings.
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 qf-data-analyzer - 安装完成后，直接呼叫该 Skill 的名称或使用
/qf-data-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
Systematic data analysis for CSV/JSON: profiling, trend analysis, anomaly detection, visualization recommendations. Structured insight extraction with actionable findings.
元数据
常见问题
Data Analyzer 是什么？
Interpret CSV, JSON, and structured data to profile, identify trends, detect anomalies, compare categories, extract insights, and recommend clear visualizati... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 141 次。
如何安装 Data Analyzer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qf-data-analyzer」即可一键安装，无需额外配置。
Data Analyzer 是免费的吗？
是的，Data Analyzer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Data Analyzer 支持哪些平台？
Data 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 Data Analyzer？
由 371166758-qq（@371166758-qq）开发并维护，当前版本 v1.0.0。
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