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Data Analyzer
by
371166758-qq
· GitHub ↗
· v1.0.0
· MIT-0
141
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Active Installs
1
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Install in OpenClaw
/install qf-data-analyzer
Description
Interpret CSV, JSON, and structured data to profile, identify trends, detect anomalies, compare categories, extract insights, and recommend clear visualizati...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install qf-data-analyzer - After installation, invoke the skill by name or use
/qf-data-analyzer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Systematic data analysis for CSV/JSON: profiling, trend analysis, anomaly detection, visualization recommendations. Structured insight extraction with actionable findings.
Metadata
Frequently Asked Questions
What is Data Analyzer?
Interpret CSV, JSON, and structured data to profile, identify trends, detect anomalies, compare categories, extract insights, and recommend clear visualizati... It is an AI Agent Skill for Claude Code / OpenClaw, with 141 downloads so far.
How do I install Data Analyzer?
Run "/install qf-data-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Data Analyzer free?
Yes, Data Analyzer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Data Analyzer support?
Data Analyzer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Data Analyzer?
It is built and maintained by 371166758-qq (@371166758-qq); the current version is v1.0.0.
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