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 Lzy599775/agent-auto-sci-skills --skill matplotlibgit clone --depth 1 https://github.com/Lzy599775/agent-auto-sci-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/lzy599775/agent-auto-sci-skills/matplotlib)<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/matplotlib"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/matplotlib/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/lzy599775/agent-auto-sci-skills/matplotlib"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/matplotlib.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 | $0.00072 | $0.04189 |
| Opus 5.5 | $0.00029 | $0.01676 |
| Sonnet 5.5 | $0.00014 | $0.00838 |
| Haiku 4.5 | $0.00007 | $0.00419 |
Grade A, and why
matplotlib 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 13d 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
100% identical to matplotlib — 112 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 — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Matplotlib
Overview
Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. This skill provides guidance on using matplotlib effectively, covering both the pyplot interface (MATLAB-style) and the object-oriented API (Figure/Axes), along with best practices for creating publication-quality visualizations.
When to Use This Skill
This skill should be used when:
- Creating any type of plot or chart (line, scatter, bar, histogram, heatmap, contour, etc.)
- Generating scientific or statistical visualizations
- Customizing plot appearance (colors, styles, labels, legends)
- Creating multi-panel figures with subplots
- Exporting visualizations to various formats (PNG, PDF, SVG, etc.)
- Building interactive plots or animations
- Working with 3D visualizations
- Integrating plots into Jupyter notebooks or GUI applications
Setup
For project work, install Matplotlib with uv:
uv add "matplotlib==3.11.2" numpy scipy
For notebook interactivity:
uv add "matplotlib==3.11.2" ipympl
Then enable the widget backend in Jupyter with %matplotlib widget or %matplotlib ipympl.
Targets Matplotlib 3.11.2 (Python 3.11+), reviewed 2026-10-01. The bundled
scripts and representative examples were executed using Agg and PNG/PDF/SVG output.
GUI windows, Jupyter widgets, and external LaTeX are environment-dependent and were
not exercised. Fragment examples assume imports and named data; adapt and validate
them before use. Check the 3.11 API changes
when migrating older code: use tick_labels and orientation for box plots,
mpl.colormaps[name] for colormaps, and label contour lines rather than contourf.
File output needs no GUI. Use MPLBACKEND=Agg for batch scripts, or select Agg before
importing pyplot. Interactive output requires an installed GUI toolkit such as
PySide6 (QtAgg) or working Tk (TkAgg); plt.ioff() does not remove GUI thread
requirements. See backends.
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.
- 13d ago Changed · +41 lines · -5 tokens per session 60b80aaa802e
- 1mo ago Changed · +16 lines 57c8fb3c504a
- 1mo ago First seen · 379 lines · 77 tokens per session scan A 3558028333b2
matplotlib is a skill published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 9d ago), licensed MIT. It adds 72 tokens to every session and 4,189 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to matplotlib, differing in 112 lines, and is treated as a copy.
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