← 返回 Skills 市场

Data Visualizer

Name: Data Visualizer
Author: xueyetianya

作者 bytesagain4 · GitHub ↗ · v3.0.1 · MIT-0

cross-platform ⚠ suspicious

1058

总下载

当前安装

版本数

在 OpenClaw 中安装

/install data-visualizer

功能描述

Terminal ASCII chart toolkit. Create bar charts, sparklines, histograms, and gauges from CSV or JSON data in the terminal.

使用说明 (SKILL.md)

data-visualizer

Terminal data visualization toolkit — create ASCII bar charts, sparklines, histograms, heatmaps, gauges, treemaps from data. Process CSV/JSON files with stats summaries, correlations, normalization, and pivoting. Export to SVG and HTML.

Commands

`bar`

Draw a horizontal bar chart from label:value pairs.

scripts/script.sh bar "Sales:42" "Revenue:87" "Profit:31"

`histogram`

Show frequency distribution of numeric values as a histogram.

scripts/script.sh histogram 10 15 20 20 25 30 30 30 35 40

`sparkline`

Render an inline sparkline chart from a series of values.

scripts/script.sh sparkline 4 8 15 16 23 42 38 29 18 10

`heatmap`

Display a color-coded heat grid from row/column data.

scripts/script.sh heatmap 3 4 1 5 9 2 8 3 7 4 6 1

`treemap`

Show proportional blocks for part-to-whole comparisons.

scripts/script.sh treemap "Chrome:65" "Safari:18" "Firefox:10" "Edge:7"

`gauge`

Display a gauge meter showing a value against a maximum.

scripts/script.sh gauge 73 100 "CPU Usage"

`matrix`

Render a CSV file as a formatted matrix/table view.

scripts/script.sh matrix data.csv

`summarize`

Compute min/max/average/median statistics for each numeric column in a CSV file.

scripts/script.sh summarize sales.csv

`distribution`

Show the value distribution of numeric data in a CSV file across bins.

scripts/script.sh distribution scores.csv 8

`correlate`

Compute a Pearson correlation matrix across all numeric columns in a CSV file.

scripts/script.sh correlate metrics.csv

`normalize`

Normalize all numeric columns to 0-1 range and output as CSV.

scripts/script.sh normalize raw_data.csv > normalized.csv

`pivot`

Group rows by a column and aggregate numeric values (sum, avg, min, max).

scripts/script.sh pivot sales.csv region

`from-csv`

Auto-visualize a CSV file with summary statistics.

scripts/script.sh from-csv data.csv

`from-json`

Auto-visualize a JSON file — shows structure, keys, and numeric column summaries.

scripts/script.sh from-json data.json

`to-svg`

Export CSV data as an SVG bar chart.

scripts/script.sh to-svg sales.csv

`to-html`

Export CSV data as an HTML table with styling.

scripts/script.sh to-html report.csv

`help`

scripts/script.sh help

`version`

scripts/script.sh version

Examples

# Quick terminal charts
scripts/script.sh bar "Q1:120" "Q2:185" "Q3:210" "Q4:170"
scripts/script.sh sparkline 10 20 30 25 40 35 50 45
scripts/script.sh gauge 78 100 "Memory"

# CSV analysis pipeline
scripts/script.sh summarize data.csv
scripts/script.sh correlate data.csv
scripts/script.sh pivot data.csv category

# Export
scripts/script.sh to-svg data.csv
scripts/script.sh to-html data.csv

Configuration

Variable	Required	Description
`DATAVIZ_DIR`	No	Data directory (default: `~/.local/share/data-visualizer/`)

Data Storage

History logged in ~/.local/share/data-visualizer/history.log.

Requirements

bash 4.0+
python3 (for CSV processing, correlations, JSON parsing, SVG export)

Powered by BytesAgain | bytesagain.com | [email protected]

安全使用建议

This skill appears to do what it claims: local CSV/JSON analysis and ASCII/SVG/HTML exports. Before installing or running it, review the bundled scripts (scripts/script.sh) yourself, ensure you have bash 4+ and python3, and be aware it will create ~/.local/share/data-visualizer/ and a history.log there. If you are cautious, run the script in a sandbox/container or review the full script for any unexpected commands. Note: the script contains some coding issues (shell arithmetic and heredoc variable-expansion mistakes) that may cause runtime errors — these are quality bugs, not indicators of deliberate malicious behavior.

功能分析

Type: OpenClaw Skill Name: data-visualizer Version: 3.0.1 The data-visualizer skill contains a critical shell injection vulnerability in the `cmd_to_html` function within `scripts/script.sh`. This occurs because the script processes CSV lines using `echo "$line"` inside a subshell expansion, which allows for arbitrary command execution if a CSV file contains payloads like `$(command)`. Additionally, the `cmd_distribution` function is currently broken due to a bug where shell variables (e.g., `$bins`) are placed inside a quoted Python heredoc, preventing their expansion. While these appear to be unintentional coding flaws rather than deliberate malice, the RCE risk via CSV processing warrants a suspicious classification.

能力评估

✓ Purpose & Capability

Name/description (terminal ASCII charts, CSV/JSON processing) match the provided script and SKILL.md. Declared optional DATAVIZ_DIR and use of python3/bash are reasonable for the stated capabilities.

✓ Instruction Scope

Runtime instructions limit actions to reading user-supplied CSV/JSON files, producing terminal visualizations/exports, and writing a local data directory/history log. The SKILL.md and script do not attempt to read unrelated system credentials or send data to external endpoints.

✓ Install Mechanism

No install spec; the skill is instruction + a bundled shell script. No external downloads or package installations are performed by the skill itself.

ℹ Credentials

The skill requests no secrets and uses only standard environment vars (DATAVIZ_DIR, XDG_DATA_HOME, HOME). It creates and writes under a per-user data directory (~/.local/share/data-visualizer) and logs history there — expected for this type of tool but worth noting for privacy-conscious users.

✓ Persistence & Privilege

always is false and the skill does not request elevated or cross-skill configuration. It creates and uses its own data directory/history log (normal for a CLI tool).

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 data-visualizer
安装完成后，直接呼叫该 Skill 的名称或使用 /data-visualizer 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

v3.0.1

test

v3.0.0

v3.0.0: All 16 commands fully implemented (heatmap, matrix, correlate, normalize, pivot, from-json, to-svg, to-html).

v2.1.5

v2.1.5: Fixed unsafe Python heredocs, accurate ASCII chart description.

v2.1.4

v2.1.4: Fix config paths and dependency declarations.

v2.1.3

v2.1.3: SKILL.md accurately describes ASCII terminal visualizations, no SVG/HTML claims.

v2.1.2

v2.1.2: SKILL.md from script help output

v2.1.0

v2.1.0: SKILL.md rewritten to match script.sh commands exactly.

v2.0.3

update

v2.0.2

Fix VT: remove old skeleton scripts, align SKILL.md

v2.0.1

SKILL.md aligned with script.sh for moderation fix

v2.0.0

v2.5 standard: Use-when desc, homepage, source, security fix

v2.3.4

yaml-fix+quality

v2.3.3

yaml-fix+quality

v2.3.2

Quality upgrade

v2.4.0

Major upgrade: custom commands and real functionality

v2.3.1

Quality update: docs, examples, standards compliance

v2.3.0

Quality fixes: aligned docs with implementation

v2.2.0

Enhanced descriptions for better AI triggering

v1.0.2

Runtime fix

v1.0.1

- Removed the tips.md file. - No changes to functionality or documentation in SKILL.md.

元数据

Slug data-visualizer

版本 3.0.1

许可证 MIT-0

累计安装 16

当前安装数 15

历史版本数 21

常见问题

Data Visualizer 是什么？

Terminal ASCII chart toolkit. Create bar charts, sparklines, histograms, and gauges from CSV or JSON data in the terminal. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1058 次。

如何安装 Data Visualizer？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install data-visualizer」即可一键安装，无需额外配置。

Data Visualizer 是免费的吗？

是的，Data Visualizer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Data Visualizer 支持哪些平台？

Data Visualizer 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 Visualizer？

由 bytesagain4（@xueyetianya）开发并维护，当前版本 v3.0.1。

Data Visualizer

data-visualizer

Commands

bar

histogram

sparkline

heatmap

treemap

gauge

matrix

summarize

distribution

correlate

normalize

pivot

from-csv

from-json

to-svg

to-html

help

version