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 PKU-YuanGroup/OpenAI4S --skill bio-data-visualization-multipanel-figuresgit clone --depth 1 https://github.com/PKU-YuanGroup/OpenAI4SWrote 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/pku-yuangroup/openai4s/bio-data-visualization-multipanel-figures)<a href="https://agentmods.dev/skills/pku-yuangroup/openai4s/bio-data-visualization-multipanel-figures"><img src="https://agentmods.dev/badge/skills/pku-yuangroup/openai4s/bio-data-visualization-multipanel-figures/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/pku-yuangroup/openai4s/bio-data-visualization-multipanel-figures"><img src="https://agentmods.dev/badge/skills/pku-yuangroup/openai4s/bio-data-visualization-multipanel-figures.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 | $0.00108 | $0.03352 |
| Opus 5 | $0.00054 | $0.01676 |
| Sonnet 5 | $0.00022 | $0.00670 |
| Haiku 4.5 | $0.00011 | $0.00335 |
Grade A, and why
bio-data-visualization-multipanel-figures 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 8d 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.
This is a copy
91% identical to bio-data-visualization-multipanel-figures — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Version Compatibility
Reference examples tested with: patchwork 1.2+ (axes='collect' requires this version, released 2024-01-05), cowplot 1.1+, ggplot2 3.5+, matplotlib 3.8+ (subfigures stable since 3.4).
Before using code patterns, verify installed versions match. If versions differ:
- R:
packageVersion('<pkg>')then?function_name - Python:
pip show <package>thenhelp(module.function)
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Multi-Panel Figures
"Combine plots into a multi-panel figure" -> Arrange individual plots into a single composed figure with consistent sizing, shared legends/axes, and panel labels (a, b, c) in the Nature/Cell convention. The decision space: which composition library (patchwork most modern in R; matplotlib subfigures in Python), how to share legends and axes, and how to size at journal specifications.
- R:
patchwork(modern; supports axes/guides collection since 1.2),cowplot(older; align_plots),gridExtra(basic grid arrange) - Python:
matplotlib.gridspec.GridSpec,fig.subfigures()(matplotlib 3.4+)
The Single Most Important Modern Insight -- Axes Collection Requires patchwork ≥ 1.2.0
patchwork 1.2.0 (released 2024-01-05) added axes = 'collect' and axis_titles = 'collect' to plot_layout(). These collect repeated axes / titles across subplots into a single shared axis label — the same way guides = 'collect' (available since patchwork 1.0) collects legends.
Without this, multi-panel figures with shared axes show redundant labels on every subplot (visually cluttered AND non-Nature compliant). Verify patchwork version is ≥ 1.2.0; older versions silently ignore the axes argument.
patchwork -- Modern R Composition
Goal: Compose 4 ggplot objects into a 2×2 panel figure with shared legend, collected axes, and bold panel labels (a, b, c, d) in upper-left of each subplot.
Approach: Combine plots with +, /, | operators; apply plot_layout(guides='collect', axes='collect') for shared elements; add plot_annotation(tag_levels='a') for Nature-style panel labels.
What ships with it
3 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.
- 8d ago First seen · 299 lines · 108 tokens per session scan A 54b3a3b41746
bio-data-visualization-multipanel-figures is a skill published in the GitHub repository PKU-YuanGroup/OpenAI4S (407 stars, last pushed yesterday), licensed MIT. It adds 108 tokens to every session and 3,352 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to bio-data-visualization-multipanel-figures, differing in 12 lines, and is treated as a copy.
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