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版本数
在 OpenClaw 中安装
/install chart-data-viz
功能描述
Local-first chart generation engine for trends, comparisons, distributions, and quick visual explanations. Use whenever the user wants to visualize data, com...
使用说明 (SKILL.md)
Chart
Turn numbers into clear visuals.
Core Philosophy
- Prefer clarity over chart variety.
- Choose the simplest chart that makes the comparison obvious.
- Use local generation only.
- Make outputs reusable for reports, slides, and quick decision-making.
Runtime Requirements
- Python 3 must be available as
python3 matplotlibmust be installed- No network access required
Storage
All data is stored locally only under:
~/.openclaw/workspace/memory/chart/charts.json~/.openclaw/workspace/memory/chart/output/
No cloud sync. No third-party chart APIs.
Supported Chart Types
bar: category comparisonline: trend over timepie: simple part-to-wholescatter: relationship between two variables
Key Workflows
- Suggest:
suggest_chart.py --labels ... --values ... - Generate:
make_chart.py --type bar --title "..." --labels "A,B,C" --values "10,20,15" - History:
list_charts.py - Initialize:
init_storage.py
Scripts
| Script | Purpose |
|---|---|
init_storage.py |
Initialize local chart storage |
make_chart.py |
Generate a chart image from inline data |
suggest_chart.py |
Recommend the best chart type |
list_charts.py |
Show previously generated charts |
安全使用建议
This skill runs locally and writes chart PNGs and a charts.json index to ~/.openclaw/workspace/memory/chart. Before installing: ensure you trust the publisher (there are small metadata mismatches across files), confirm you have python3 and matplotlib available, and that you are comfortable the skill will write to the indicated workspace folder. If you plan to feed sensitive data, note the scripts perform simple CSV parsing and float conversions (malformed or non-numeric values may cause the tool to exit); you may want to review the make_chart.py parsing logic or test with non-sensitive data first.
功能分析
Type: OpenClaw Skill
Name: chart-data-viz
Version: 1.0.0
The skill is a legitimate tool for local chart generation using matplotlib. It includes scripts for initializing storage, suggesting chart types, and rendering PNG images (make_chart.py) based on user-provided data. All operations are performed locally within the designated workspace (~/.openclaw/workspace/memory/chart/), and there is no evidence of network access, data exfiltration, or malicious execution patterns.
能力评估
Purpose & Capability
The name/description (local-first chart generation) matches the included scripts: suggesting charts, generating PNGs with matplotlib, listing history, and initializing local storage. All required capabilities (python3, matplotlib) are consistent with the implementation. Minor metadata inconsistencies exist between registry metadata and _meta.json/skill.json (ownerId and slug/name differences), which are packaging concerns but do not affect runtime behavior.
Instruction Scope
SKILL.md runtime instructions align with the code: scripts operate locally, reference only the user's ~/.openclaw/workspace/memory/chart path, and do not attempt to read unrelated system files or environment variables. The scripts parse command-line inputs and save chart metadata and PNGs locally.
Install Mechanism
There is no external install/download step or third-party installer referenced. The skill bundle includes Python scripts only. No URLs, package installs, or archive extraction are used by the skill itself.
Credentials
No environment variables, credentials, or network access are requested. The scripts only need local filesystem write access to ~/.openclaw/workspace/memory/chart and Python with matplotlib; these are proportionate to the stated purpose.
Persistence & Privilege
always is false and the skill does not modify other skills or global agent configuration. It stores its own data under a single workspace directory in the user's home, which is expected behavior for a local-first 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 chart-data-viz - 安装完成后,直接呼叫该 Skill 的名称或使用
/chart-data-viz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 of the chart-data-viz skill.
- Generate bar, line, pie, or scatter charts locally using Python and matplotlib.
- No internet or third-party APIs required; all charts and data stored locally.
- Supports generating charts from CSV/JSON or inline data, suggesting optimal chart types, and viewing chart history.
元数据
常见问题
Chart Data Viz 是什么?
Local-first chart generation engine for trends, comparisons, distributions, and quick visual explanations. Use whenever the user wants to visualize data, com... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 395 次。
如何安装 Chart Data Viz?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install chart-data-viz」即可一键安装,无需额外配置。
Chart Data Viz 是免费的吗?
是的,Chart Data Viz 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Chart Data Viz 支持哪些平台?
Chart Data Viz 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 Chart Data Viz?
由 panchenbo(@panchenbo)开发并维护,当前版本 v1.0.0。
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