Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add veelenga/preview-skills --skill preview-d3git clone --depth 1 https://github.com/veelenga/preview-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/veelenga/preview-skills/preview-d3)<a href="https://agentmods.dev/skills/veelenga/preview-skills/preview-d3"><img src="https://agentmods.dev/badge/skills/veelenga/preview-skills/preview-d3/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/veelenga/preview-skills/preview-d3"><img src="https://agentmods.dev/badge/skills/veelenga/preview-skills/preview-d3.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.02269 |
| Opus 5 | $0.00012 | $0.01135 |
| Sonnet 5 | $0.00005 | $0.00454 |
| Haiku 4.5 | $0.00002 | $0.00227 |
Grade A, and why
preview-d3 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preview D3 Skill
Interactive D3.js visualization viewer that renders custom data visualizations with built-in zoom, pan, and export capabilities.
Agent Usage
When the user asks to create a D3 visualization, write the D3 code and pipe it to the script. Use the Bash tool to execute this skill's run.sh script:
# Pipe D3 code
cat visualization.js | ./run.sh
# Or from a file
./run.sh chart.d3
The script handles all HTML generation and automatically opens the result in the browser. Do NOT open the file manually to avoid duplicate tabs.
Usage
# Preview a D3 visualization file
/preview-d3 network-graph.d3
# Pipe D3 code (preferred for temporary content)
cat visualization.js | /preview-d3
echo "const svg = d3.select('#visualization').append('svg')..." | /preview-d3
Best Practice: For temporary or generated visualizations, prefer piping over creating temporary files. This avoids cluttering your filesystem and the content is automatically cleaned up.
Options
The script works with sensible defaults but supports these flags for flexibility:
-o, --output PATH- Custom output path--no-browser- Skip browser, output file path only
Features
- Universal D3 compatibility - Works with any D3 code from the web
- Zoom and pan - Mouse wheel to zoom (0.5x to 10x), drag to pan
- Reset zoom button
- Code viewer toggle
- Export to SVG functionality
- Preserves interactions - Tooltips, draggable nodes, animations all work
- Automatic container detection - Works with any selector
- Responsive design adapts to screen size
When to Use This Skill
Use this skill when the user wants to:
- Create custom data visualizations
- Render charts, graphs, and network diagrams
- Visualize hierarchical data
- Create interactive dashboards
- Test D3 code snippets from online examples
D3 Code Requirements
Your D3 code should be self-contained JavaScript that:
- Gets container dimensions from the DOM
- Creates its own SVG element
- Handles tooltips directly (if needed)
- Embeds data in the code
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- config.sh 1.9 KB runs code
- lib/browser-utils.sh 9.5 KB runs code
- lib/content-utils.sh 6.7 KB runs code
- lib/html-generator.sh 14 KB runs code
- run.sh 7.5 KB runs code
- templates/scripts/common-ui.js 5.1 KB runs code
- templates/scripts/d3-renderer.js 11 KB runs code
- templates/scripts/utils.js 1.8 KB runs code
- templates/styles/common.css 1.6 KB
- templates/styles/d3.css 5.8 KB
- templates/styles/layout.css 14 KB
- templates/user-code-template.html 236 B
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 327 lines · 24 tokens per session scan A dd86759d2ab7
preview-d3 is a skill published in the GitHub repository veelenga/preview-skills (8 stars, last pushed 29d ago), licensed MIT. It adds 24 tokens to every session and 2,269 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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