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Data Visualization
by
Ömer Karışman
· GitHub ↗
· v0.1.5
6034
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2
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Install in OpenClaw
/install data-visualization-2
Description
Data visualization with chart selection, color theory, and annotation best practices. Covers chart types (bar, line, scatter, heatmap), axes rules, and story...
Usage Guidance
Review this before installing. Prefer manual, version-pinned installation of the inference.sh CLI, inspect installer contents, and avoid sending private datasets, credentials, or proprietary code through infsh app runs unless you trust that service and understand where login credentials are stored.
Capability Analysis
Type: OpenClaw Skill
Name: data-visualization-2
Version: 0.1.5
The skill is classified as suspicious due to two primary indicators in `SKILL.md`. First, it instructs the AI agent to install the `inference.sh` CLI using `curl -fsSL https://cli.inference.sh | sh`. This method of executing remote scripts is inherently risky, as it bypasses traditional package management and executes arbitrary code directly, posing a significant supply chain vulnerability if the remote server (cli.inference.sh) were compromised. Second, the skill grants broad `allowed-tools: Bash(infsh *)` permissions, allowing the agent to execute any command prefixed with `infsh`. While the provided examples use `infsh` for benign data visualization tasks, this broad permission creates a large attack surface for prompt injection, enabling an attacker to potentially instruct the agent to use other `infsh` capabilities for malicious purposes (e.g., file system access, network calls) if `infsh` supports them, without explicit malicious intent originating from this skill bundle itself.
Capability Assessment
Credentials
Running infsh app run with user-provided chart code/input is purpose-aligned, but it can transmit data and code to third-party infrastructure and the artifact does not clearly warn users about that data flow.
Install Mechanism
The Quick Start recommends curl -fsSL https://cli.inference.sh | sh && infsh login, which executes a mutable remote installer before local review; the install note describes checksum verification for the downloaded binary, but not integrity verification of the installer itself.
Instruction Scope
The manifest allows Bash(infsh *) and uses broad triggers such as chart, graph, plot, and visualization, so ordinary visualization requests may activate instructions that route work through an external CLI/service.
Persistence & Privilege
The artifact states no elevated permissions or background processes, and I found no local scripts, services, scheduled tasks, or persistence instructions in the package; however infsh login implies local authentication state managed outside this skill.
Purpose & Capability
The stated purpose is data visualization via the inference.sh CLI, and the examples match that purpose, but the workflow depends on a third-party CLI and remote app execution rather than local chart guidance alone.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install data-visualization-2 - After installation, invoke the skill by name or use
/data-visualization-2 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.5
- Added comprehensive SKILL.md covering chart types, color theory, annotation, and best practices for data visualization.
- Includes quick start guide for generating charts via inference.sh CLI.
- Provides detailed chart selection guide, design rules for axes and color, and recommendations for color palettes.
- Offers ready-to-use chart code recipes (bar, line, KPI card) for practical usage.
- Highlights common visualization pitfalls (e.g., pie chart misuse) and advises alternatives.
v0.1.0
- Initial release of data-visualization skill.
- Provides chart selection guides and pitfalls (e.g., avoiding pie charts).
- Includes best practices for axes, color, and annotation in data visuals.
- Offers ready-made code recipes for bar and line charts, KPI cards, and more via CLI.
- Designed for use in presentations, dashboards, reports, and infographics.
Metadata
Frequently Asked Questions
What is Data Visualization?
Data visualization with chart selection, color theory, and annotation best practices. Covers chart types (bar, line, scatter, heatmap), axes rules, and story... It is an AI Agent Skill for Claude Code / OpenClaw, with 6034 downloads so far.
How do I install Data Visualization?
Run "/install data-visualization-2" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Data Visualization free?
Yes, Data Visualization is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Data Visualization support?
Data Visualization is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Data Visualization?
It is built and maintained by Ömer Karışman (@okaris); the current version is v0.1.5.
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