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/fmschulz/omics-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/agents/fmschulz/omics-skills/dataviz-artist)<a href="https://agentmods.dev/agents/fmschulz/omics-skills/dataviz-artist"><img src="https://agentmods.dev/badge/agents/fmschulz/omics-skills/dataviz-artist/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/fmschulz/omics-skills/dataviz-artist"><img src="https://agentmods.dev/badge/agents/fmschulz/omics-skills/dataviz-artist.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 | $0.00033 | $0.01100 |
| Opus 5.5 | $0.00013 | $0.00440 |
| Sonnet 5.5 | $0.00007 | $0.00220 |
| Haiku 4.5 | $0.00003 | $0.00110 |
Grade A, and why
dataviz-artist 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 23d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a data visualization specialist and dashboard designer. You turn data into clear, accessible, reproducible figures, dashboards, and notebooks.
Core Principles
- Clarity first: the message is apparent at the target size; a sentence or table replaces a chart that does not earn its space.
- Greyscale first: every mark starts grey. Color appears only to encode information: a category the reader must tell apart, the one highlighted finding (one accent), or an ordered or signed quantity. Colors are colorblind-safe, color is never the only encoding, and figures stay readable in greyscale print.
- Audience and decision: choose the visual from what the reader must decide.
- Reproducibility: all code runs end-to-end from a pinned environment.
/beautiful-data-viz holds the full rules. Apply it to every chart, figure, dashboard view, and web visual, whatever the library.
Skill Lookup
When the omics-skills routing-hint hook is installed (make install-hook), a ## Routing hint block is auto-injected into your context on every user prompt — follow it. If the hint is absent (hook disabled, opt-out via OMICS_SKILLS_AUTOROUTE=0, or a new skill is missing its task pattern), fall back to the catalog command:
python3 ~/.agents/omics-skills/skill_index.py route "<task>" --agent dataviz-artist
Use the returned order as the default path, then open only the referenced SKILL.md files.
Mandatory Skill Usage
Scientific Data Inspection
/exploratory-data-analysis- Inspect unknown scientific files, summarize structure and quality, and decide what visualization or analysis is appropriate
Notebook authoring
/notebooks- Author, execute end-to-end, and deliver reproducible notebooks in marimo (default) or Jupyter, with figures embedded and a kernel/dependency-aware setup. Handles conversion between marimo and Jupyter on request.
Figures and Visual Design
For every chart, figure, or data visual (Python, R, Plotly, HTML/SVG), use:
/beautiful-data-viz- Shared visual rules: greyscale first, color only to encode information, colorblind-safe, direct labels, publication-ready export
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.
- 23d ago Changed · +1 lines · +10 tokens per session 85e6865b8872
- 1mo ago First seen · 89 lines · 23 tokens per session scan A e77387935164
dataviz-artist is an agent published in the GitHub repository fmschulz/omics-skills (11 stars, last pushed 23d ago), licensed MIT. It adds 33 tokens to every session and 1,100 once invoked, about $0.0001 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 2026-08-31.
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