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Data Visualization
by
Ömer Karışman
· GitHub ↗
· v0.1.5
4994
Downloads
0
Stars
34
Active Installs
2
Versions
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
Install only if you trust inference.sh. Prefer the manual checksum-verification path when possible, and avoid sending confidential datasets, customer records, or sensitive business metrics through `infsh` chart-generation commands unless the provider's account, billing, and data-handling terms are acceptable.
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
Purpose & Capability
The skill's purpose is chart and data-visualization guidance, and its examples are aligned with generating charts through inference.sh apps.
Instruction Scope
The `Bash(infsh *)` permission is broad within the inference.sh CLI, but the artifact shows only visualization-related `infsh app run`, `infsh login`, and app-list usage, with no hidden or unrelated commands.
Install Mechanism
The quick start uses `curl -fsSL https://cli.inference.sh | sh && infsh login`; this is disclosed and accompanied by a checksum/manual-install note, but it still requires trusting the remote installer and provider.
Credentials
Remote chart-generation commands are proportionate to the stated purpose, but datasets or chart inputs may be processed by inference.sh rather than staying fully local.
Persistence & Privilege
The artifact shows no background worker, scheduled persistence, privilege escalation, destructive local mutation, or credential harvesting beyond installing and logging into the disclosed CLI.
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 4994 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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