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 calesthio/generative-media-skills --skill d3-animated-data-visualizationgit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/d3-animated-data-visualization)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/d3-animated-data-visualization"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/d3-animated-data-visualization/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/calesthio/generative-media-skills/d3-animated-data-visualization"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/d3-animated-data-visualization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00082 | $0.03895 |
| Opus 5 | $0.00041 | $0.01947 |
| Sonnet 5 | $0.00016 | $0.00779 |
| Haiku 4.5 | $0.00008 | $0.00390 |
Grade A, and why
d3-animated-data-visualization 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 9d 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 — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
D3 animated data visualization
Use this skill when data determines the marks, scales, layout, labels, and animation of a rendered-media sequence. D3 is useful when standard chart components cannot express the required encoding or choreography with sufficient control.
The job is not to make numbers move. The job is to preserve meaning while controlling attention over time. Source integrity, denominator, units, uncertainty, scale, and transformations are production inputs, not footer decoration.
Evidence stance
- Documented fact: behavior or requirement from official D3, W3C, or cited standards documentation.
- Production heuristic: a practical choice that depends on the dataset, audience, and delivery.
- Empirical observation: a measured result from the actual data, layout, rendered frames, or encoded output.
D3 packages and APIs are versioned independently. Facts were checked 2026-07-12. Record exact module versions and re-check official documentation when the installed set differs.
When to use D3
Use D3 for:
- custom visual encodings built from scales, shapes, axes, and SVG or Canvas marks;
- timelines, distributions, hierarchies, geographic projections, flows, and networks;
- data joins where stable identities must persist between states;
- precise annotations and source notes tied to data;
- deterministic frame evaluation inside browser-rendered video;
- responsive chart variants that require recalculated scales and layout.
Prefer a standard chart component when it already supports the truthful chart, labeling, accessibility, and export needs. Prefer a motion compositor when data is already reduced to a few approved values and no data-driven layout remains. Do not use D3 to lend false authority to illustrative or invented numbers.
Establish the data and claim contract
Before selecting a chart, record:
- question and intended takeaway;
- source organization, dataset/table, URL or identifier, access date, license, and owner;
- population, geography, timeframe, sample, denominator, unit, currency basis, and definitions;
- missing values, exclusions, revisions, censoring, and known collection changes;
- transformations: aggregation, normalization, indexing, inflation adjustment, smoothing, rolling windows, interpolation, projection, or model output;
- uncertainty, confidence interval, margin of error, scenario range, or estimate status;
- approved claim and claims the visualization must not imply;
- aspect ratios, duration, fps, caption/source-note area, and accessible alternative;
- data checksum and visualization configuration version.
What ships with it
1 file 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.
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.
- 9d ago First seen · 333 lines · 82 tokens per session scan A 83909abbfb38
d3-animated-data-visualization is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 82 tokens to every session and 3,895 once invoked, about $0.0004 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 2026-09-03.
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