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Bytesagain Data Analytics

Name: Bytesagain Data Analytics
Author: loutai0307-prog

作者 loutai0307-prog · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

150

总下载

当前安装

版本数

在 OpenClaw 中安装

/install bytesagain-data-analytics

功能描述

Analyze CSV files with statistical summaries, correlations, and pivot tables. Use when exploring new datasets, checking data quality, finding column correlat...

使用说明 (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 categories
correlate — Pearson correlation matrix across all numeric columns
top — Rank top 15 values in any column with percentage and bar chart
trend — ASCII line chart showing value trend over rows with direction indicator
clean — Data quality report: null counts, low cardinality, coverage per column
pivot — 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.

安全使用建议

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.

功能分析

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`.

能力评估

✓ 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.

ℹ 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.

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 bytesagain-data-analytics
安装完成后，直接呼叫该 Skill 的名称或使用 /bytesagain-data-analytics 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: CSV analytics with stats, correlation, pivot tables

元数据

Slug bytesagain-data-analytics

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题