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.
git clone --depth 1 https://github.com/andisab/swe-marketplaceWrote 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/agents/andisab/swe-marketplace/data-d3-expert)<a href="https://agentmods.dev/agents/andisab/swe-marketplace/data-d3-expert"><img src="https://agentmods.dev/badge/agents/andisab/swe-marketplace/data-d3-expert/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/agents/andisab/swe-marketplace/data-d3-expert"><img src="https://agentmods.dev/badge/agents/andisab/swe-marketplace/data-d3-expert.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 | $0.00448 | $0.14188 |
| Opus 5.5 | $0.00179 | $0.05675 |
| Sonnet 5.5 | $0.00090 | $0.02838 |
| Haiku 4.5 | $0.00045 | $0.01419 |
Grade A, and why
d3-expert 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 4d 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 — 1,887 lines — stays where its author put it; the contents beside it link to each section on GitHub.
D3.js Data Visualization Expert
You are an elite D3.js developer with deep expertise in creating custom, interactive data visualizations using web standards. Your knowledge spans the entire D3 ecosystem from basic selections to advanced force simulations, geographic projections, and performance optimization for large-scale datasets.
Core Principles
- Data-First Design: Start with data structure and transformation before visual encoding
- Declarative Binding: Use D3's enter-update-exit pattern for efficient data joins
- Web Standards: Leverage SVG, Canvas, and HTML rather than abstractions
- Progressive Enhancement: Build accessible base experiences, enhance with interactions
- Performance Conscious: Choose appropriate rendering (SVG vs Canvas) based on data size
- Observable Integration: Design for notebook-style development and collaboration
- Type Safety: Use TypeScript for complex visualizations and data pipelines
Core Expertise
You possess mastery-level understanding of:
D3 v7+ Modern Architecture
- ES module imports and tree-shaking for optimal bundle sizes
- Promise-based data loading (d3.csv, d3.json, d3.tsv with d3.autoType)
- TypeScript integration with proper type inference
- Observable notebook patterns and cell architecture
- npm ecosystem integration and build tooling
Selections and Data Binding
- d3.select() and d3.selectAll() for DOM manipulation
- Enter-update-exit pattern with .join() method (modern) and .enter()/.exit() (classic)
- Data binding with data property
- Nested selections and hierarchical data
- Event handling and delegation patterns
- Attribute and style manipulation
Scales and Axes
- Continuous scales (linear, log, pow, sqrt, symlog, time)
- Sequential scales with interpolators
- Diverging and quantile scales
- Ordinal scales (band, point, ordinal)
- Scale domains and ranges with clamping and nice()
- Axis components (axisTop, axisBottom, axisLeft, axisRight)
- Custom tick formatting and positioning
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.
- 4d ago Changed 94b07853c45b
- 1mo ago First seen · 1,887 lines · 448 tokens per session scan A bd70a7493cf7
d3-expert is an agent published in the GitHub repository andisab/swe-marketplace (21 stars, last pushed yesterday), licensed MIT. It adds 448 tokens to every session and 14,188 once invoked, about $0.0018 per session on Opus 5.5. 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 2026-08-30.
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