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Install in OpenClaw
/install parfait-charts
Description
Stacked bar charts showing composition and performance. Use for analyzing structure and trends.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install parfait-charts - After installation, invoke the skill by name or use
/parfait-charts - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Parfait Charts?
Stacked bar charts showing composition and performance. Use for analyzing structure and trends. It is an AI Agent Skill for Claude Code / OpenClaw, with 149 downloads so far.
How do I install Parfait Charts?
Run "/install parfait-charts" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Parfait Charts free?
Yes, Parfait Charts is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Parfait Charts support?
Parfait Charts is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Parfait Charts?
It is built and maintained by linuszz (@linuszz); the current version is v1.0.0.
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