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 neuromechanist/research-skills --skill plot-stylinggit clone --depth 1 https://github.com/neuromechanist/research-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/neuromechanist/research-skills/plot-styling)<a href="https://agentmods.dev/skills/neuromechanist/research-skills/plot-styling"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/plot-styling/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/neuromechanist/research-skills/plot-styling"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/plot-styling.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 | $0.00177 | $0.02110 |
| Opus 5 | $0.00088 | $0.01055 |
| Sonnet 5 | $0.00035 | $0.00422 |
| Haiku 4.5 | $0.00018 | $0.00211 |
Grade A, and why
plot-styling 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 10d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plot Styling
Choose the right Python plotting library for the chart type, then apply journal-quality defaults so the panel that comes out of savefig is ready for the [[scientific-figure]] composer — no manual cleanup, no font-size firefighting, no chart junk.
Two questions, two minutes
- What chart type am I drawing? That answer picks the library (
references/library-decision-tree.md). - Which journal am I targeting? That answer picks the style sheet and font minimum (
references/sciplots-recipes.md).
Run those choices through the export conventions below and the output SVG should pass figure-qa's plot-script branch and feed scientific-figure without scale-down surprises.
Library decision tree (summary)
| Chart type | Library | Why |
|---|---|---|
| Line / scatter / bar with custom layout | matplotlib | Most control; the lingua franca. Pair with SciencePlots styles to fix defaults. |
| Statistical (box, violin, regression, faceted) | seaborn | Better defaults than matplotlib; less code for the common cases. Built on top of matplotlib so the SciencePlots style still applies. |
| Grammar-of-graphics / R-style faceting | plotnine | Same geom_* API as ggplot2 without the rpy2 bridge. |
| Interactive HTML supplement (deck / dashboard) | plotly | Use plotly for the interactive companion; ship a matplotlib version for print. |
| 3D / volumetric / mesh | PyVista (when interactive matters) or matplotlib 3d (for static print) | matplotlib 3d is acceptable for simple panels; PyVista when the figure is the interaction. |
| Already in matplotlib, output looks ugly | stay matplotlib + SciencePlots | plt.style.use(['science', 'nature']) fixes 80% of "ugly defaults" complaints without rewriting. |
Full decision tree with concrete code snippets per branch: references/library-decision-tree.md.
Journal-quality defaults (matplotlib / seaborn)
The cleanest path is to install SciencePlots and apply its style sheet at the top of every plot script. The relevant style names:
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.
- 10d ago First seen · 115 lines · 177 tokens per session scan A 7e8a9434fa78
plot-styling is a skill published in the GitHub repository neuromechanist/research-skills (45 stars, last pushed 7d ago), licensed BSD-3-Clause. It adds 177 tokens to every session and 2,110 once invoked, about $0.0009 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.
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