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Bytesagain Data Analytics
by
loutai0307-prog
· GitHub ↗
· v1.0.0
· MIT-0
150
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0
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1
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1
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Install in OpenClaw
/install bytesagain-data-analytics
Description
Analyze CSV files with statistical summaries, correlations, and pivot tables. Use when exploring new datasets, checking data quality, finding column correlat...
README (SKILL.md)
bytesagain-data-analytics
Terminal data analysis toolkit for CSV files. Compute statistical summaries, correlation matrices, top value rankings, trend charts, data quality reports, and pivot tables — no Python data science libraries required.
Usage
bytesagain-data-analytics describe \x3Ccsv_file>
bytesagain-data-analytics correlate \x3Ccsv_file>
bytesagain-data-analytics top \x3Ccsv_file> \x3Ccolumn>
bytesagain-data-analytics trend \x3Ccsv_file> \x3Ccolumn>
bytesagain-data-analytics clean \x3Ccsv_file>
bytesagain-data-analytics pivot \x3Ccsv_file> \x3Crow_col> \x3Cvalue_col>
Commands
describe— Per-column statistics: count, mean, std, percentiles, top categoriescorrelate— Pearson correlation matrix across all numeric columnstop— Rank top 15 values in any column with percentage and bar charttrend— ASCII line chart showing value trend over rows with direction indicatorclean— Data quality report: null counts, low cardinality, coverage per columnpivot— Group by a category column and aggregate a numeric column
Examples
bytesagain-data-analytics describe sales.csv
bytesagain-data-analytics correlate metrics.csv
bytesagain-data-analytics top customers.csv country
bytesagain-data-analytics trend revenue.csv amount
bytesagain-data-analytics clean user-data.csv
bytesagain-data-analytics pivot orders.csv category revenue
Requirements
- bash
- python3
When to Use
Use when exploring a new dataset, checking data quality before analysis, finding correlations between metrics, or generating quick visual summaries from CSV exports without opening a spreadsheet.
Usage Guidance
This skill appears to do what it claims (local CSV analysis) and does not request credentials or perform network I/O. Before installing or running: (1) review the full scripts in the repository — the provided script listing here was truncated, so confirm the complete file contents; (2) be aware of a likely bug where the Python heredocs are single-quoted so shell variable $file may not be expanded — test the tool on non-sensitive sample CSVs first; (3) run it in a sandbox or isolated environment if you have sensitive data, and check file permissions before execution. If you rely on this tool for production, ask the author/maintainer to fix the variable-expansion bug and provide automated tests or a packaged release.
Capability Analysis
Type: OpenClaw Skill
Name: bytesagain-data-analytics
Version: 1.0.0
The skill is a data analysis toolkit for CSV files, providing commands for statistical summaries, correlations, and pivot tables. The implementation in `scripts/script.sh` uses Bash to wrap Python snippets that perform standard data processing using built-in libraries like `csv` and `math`. While the code contains functional bugs—specifically, the use of quoted heredocs (`'PYEOF'`) prevents the shell from expanding the `$file` variable, which will likely cause the Python scripts to fail when trying to open a literal filename "$file"—there is no evidence of malicious intent, data exfiltration, or unauthorized execution. The logic is entirely consistent with the stated purpose in `SKILL.md`.
Capability Assessment
Purpose & Capability
Name/description match what is included: a terminal CSV analysis toolkit implemented as a bash wrapper that runs python3 snippets. The declared requirements (bash, python3) align with the implementation and no unrelated credentials or services are requested.
Instruction Scope
SKILL.md and the script operate only on local CSV files and produce summaries, correlations, pivot tables, and quality reports. There are no network calls or references to external endpoints. Note: the script uses environment variables DA_COL/DA_ROW/DA_VAL to pass column names into Python, which is appropriate, but the embedded Python heredocs are single-quoted so shell variables like $file appear literally in the Python code — this appears to be a coding bug (not a malicious behavior).
Install Mechanism
No install spec (instruction-only with an included script) — lowest install risk. The code uses only standard Python libraries and bash, and there are no downloads or package installs declared.
Credentials
No required environment variables, credentials, or config paths are declared. The script sets transient environment variables when invoking Python to pass column names; nothing requests secrets or unrelated tokens.
Persistence & Privilege
always is false, the skill is user-invocable and does not request elevated persistence or modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install bytesagain-data-analytics - After installation, invoke the skill by name or use
/bytesagain-data-analytics - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: CSV analytics with stats, correlation, pivot tables
Metadata
Frequently Asked Questions
What is Bytesagain Data Analytics?
Analyze CSV files with statistical summaries, correlations, and pivot tables. Use when exploring new datasets, checking data quality, finding column correlat... It is an AI Agent Skill for Claude Code / OpenClaw, with 150 downloads so far.
How do I install Bytesagain Data Analytics?
Run "/install bytesagain-data-analytics" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Bytesagain Data Analytics free?
Yes, Bytesagain Data Analytics is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Bytesagain Data Analytics support?
Bytesagain Data Analytics is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Bytesagain Data Analytics?
It is built and maintained by loutai0307-prog (@loutai0307-prog); the current version is v1.0.0.
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