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在 OpenClaw 中安装
/install parfait-charts
功能描述
Stacked bar charts showing composition and performance. Use for analyzing structure and trends.
安全使用建议
This skill is a simple, coherent template for producing stacked-bar (parfait) chart analyses and appears safe to install. Before using it, decide how the agent will receive data: avoid supplying sensitive files or credentials as the SKILL.md does not define data sources or validation. Test the skill with non-sensitive sample data to confirm output shape and ensure the agent does not attempt to fetch external resources or access unrelated system files. If you need the agent to work with private datasets, prefer explicitly-scoped data-provision steps and review any future updates that add install scripts or environment requirements.
功能分析
Type: OpenClaw Skill
Name: parfait-charts
Version: 1.0.0
The skill bundle is a template for generating text-based stacked bar charts and composition analysis. It contains no executable code, network requests, or suspicious instructions, and its content is entirely consistent with its stated purpose in SKILL.md.
能力评估
Purpose & Capability
Name and description describe creating stacked composition/performance charts and the SKILL.md contains templates and examples for exactly that. There are no unrelated required binaries, environment variables, or config paths.
Instruction Scope
Instructions are narrowly scoped to producing chart analyses and include an explicit template and output format. They do use a generic placeholder ($ARGUMENTS) and don't specify how data is supplied or validated, so callers should confirm what input the agent will be provided (avoid giving it private files or credentials). No instructions read files, access env vars, or transmit data to external endpoints.
Install Mechanism
No install spec and no code files — this is an instruction-only skill. That is the lowest-risk install profile (nothing is written to disk).
Credentials
The skill declares no environment variables, credentials, or config paths. There is no disproportionate request for secrets or system access relative to the stated purpose.
Persistence & Privilege
always:false (default) and user-invocable. It does not request permanent presence or any modifications to other skills or system-wide settings. Note: the platform default allows autonomous invocation; that normal capability is not by itself a problem here.
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 parfait-charts - 安装完成后，直接呼叫该 Skill 的名称或使用
/parfait-charts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 parfait-charts skill:
- Provides stacked bar chart (parfait chart) visualizations for composition and performance analysis.
- Outlines standard chart structure and sample output format.
- Includes clear use cases like revenue mix, cost structure, and portfolio breakdown.
- Supplies step-by-step instructions and tips for effective analysis.
- Delivers template for presenting trends, key insights, and strategic implications.
元数据
常见问题
Parfait Charts 是什么？
Stacked bar charts showing composition and performance. Use for analyzing structure and trends. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 149 次。
如何安装 Parfait Charts？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install parfait-charts」即可一键安装，无需额外配置。
Parfait Charts 是免费的吗？
是的，Parfait Charts 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Parfait Charts 支持哪些平台？
Parfait Charts 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 Parfait Charts？
由 linuszz（@linuszz）开发并维护，当前版本 v1.0.0。
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