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 QinghongLin/data2story-skill --skill dataviz-craftgit clone --depth 1 https://github.com/QinghongLin/data2story-skillWrote 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/qinghonglin/data2story-skill/dataviz-craft)<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/dataviz-craft"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/dataviz-craft/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/qinghonglin/data2story-skill/dataviz-craft"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/dataviz-craft.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 | $0.00135 | $0.01743 |
| Opus 5 | $0.00068 | $0.00872 |
| Sonnet 5 | $0.00027 | $0.00349 |
| Haiku 4.5 | $0.00014 | $0.00174 |
Grade A, and why
dataviz-craft 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 11d 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dataviz Craft
A shared library for choosing and building charts that carry one idea cleanly. This is not a pipeline stage; it is a reference the Designer reads to pick the right chart type for the message, the Programmer reads to build it as an editorial Vega-Lite spec, and the Auditor/Critic reads to judge whether a chart is honest and legible.
It is the chart-craft counterpart to frontend-design (page/visual identity). For color scales it does not redefine anything — it cross-references frontend-design/references/design_tokens.json data_color_scales. For Vega-Lite mechanics (mount/centering/width:container/scale.zero/labelExpr) it extends data2story-pro/programmer/references/component_implementations.json, it does not duplicate it.
When to use
- Designer: before writing a
chart_specper section, name the message's intent (deviation / correlation / ranking / distribution / change-over-time / part-to-whole / magnitude / spatial / flow) and pick a ranked candidate fromreferences/chart_chooser.json. Record the chart type + intent + what to highlight indesigner.json. If the chosen type is taggedvega_lite_native: false, flag it for the D3 fallback. - Programmer: implement the chosen type from
references/vega_recipes.json(editorial Vega-Lite skeleton), add reference/threshold/label layers fromreferences/annotation_layers.json, apply the de-clutter config fromreferences/axis_label_polish.json, and obeyreferences/encoding_craft.json(area-not-radius, sort-by-value, no dual-axis, colorblind-safe). For anative:falsetype usereferences/d3_fallback_recipes.json. - Auditor / Critic: review a chart against the same files — is the chart type right for the stated intent (chart_chooser), does the baseline lie (axis_label_polish zero-baseline rule), is the key datum annotated (annotation_layers), is the encoding accurate and colorblind-safe (encoding_craft, Cleveland–McGill ordering)?
What ships with it
6 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.
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.
- 11d ago First seen · 41 lines · 135 tokens per session scan A ceef4ba5c304
dataviz-craft is a skill published in the GitHub repository QinghongLin/data2story-skill (155 stars, last pushed 2mo ago), licensed MIT. It adds 135 tokens to every session and 1,743 once invoked, about $0.0007 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 2026-08-30.
Other skills, from other repositories
data-scientist
!cat skills/shared/protocols/ux-protocol.md 2>/dev/null || true !cat skills/shared/protocols/input-validation.md 2>/dev/null || true !cat skills/shared/protocols/tool-efficiency.md 2>/dev/null || true !cat .production-grade.yaml 2>/dev/null || echo "No config — using defaults".
LDAvis
R LDAvis package for topic model visualization. Use for interactive visualization of LDA topic models.
r-network-viz
R network visualization with ggraph, visNetwork. Use for graph layouts and interactive networks.
ggraph
R ggraph package for network visualization. Use for grammar of graphics style network plots.
r-spatial-mapping
R mapping with tmap, leaflet, mapview. Use for static and interactive maps.
cartography
R cartography package for thematic mapping. Use for creating publication-quality thematic maps.