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 agentmods add skills/x-cmd/skill/matplotlibnpx skills add x-cmd/skill --skill matplotlibgit clone --depth 1 https://github.com/x-cmd/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/x-cmd/skill/matplotlib)<a href="https://agentmods.dev/skills/x-cmd/skill/matplotlib"><img src="https://agentmods.dev/badge/skills/x-cmd/skill/matplotlib.svg" alt="Measured on agentmods" 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 | $0.00077 | $0.03113 |
| Opus 5 | $0.00039 | $0.01556 |
| Sonnet 5 | $0.00015 | $0.00623 |
| Haiku 4.5 | $0.00008 | $0.00311 |
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 2d 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
81% identical to matplotlib — 62 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 — 361 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
Core Concepts
The Matplotlib Hierarchy
Matplotlib uses a hierarchical structure of objects:
- Figure - The top-level container for all plot elements
- Axes - The actual plotting area where data is displayed (one Figure can contain multiple Axes)
- Artist - Everything visible on the figure (lines, text, ticks, etc.)
- Axis - The number line objects (x-axis, y-axis) that handle ticks and labels
Two Interfaces
1. pyplot Interface (Implicit, MATLAB-style)
import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4])
plt.ylabel('some numbers')
plt.show()
- Convenient for quick, simple plots
- Maintains state automatically
- Good for interactive work and simple scripts
2. Object-Oriented Interface (Explicit)
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot([1, 2, 3, 4])
ax.set_ylabel('some numbers')
plt.show()
- Recommended for most use cases
- More explicit control over figure and axes
- Better for complex figures with multiple subplots
- Easier to maintain and debug
Common Workflows
1. Basic Plot Creation
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.
- 2d ago First seen · 361 lines · 77 tokens per session scan A 0c20cceb3a05
matplotlib is a skill published in the GitHub repository x-cmd/skill (26 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 3,113 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to matplotlib, differing in 62 lines, and is treated as a copy.
Other skills, from other repositories
yolo-training
This skill should be used when user asks to "improve my mAP", "why is my model overfitting", "my training is diverging", "read my results.csv", "interpret my training curves", "my AP50 is good but AP50-95 is bad", "my recall is low", "how do I pick learning rate", "which augmentations should I use", "should I use a…
iterate-ml-experiment
Owns the iteration loop on top of an ML workspace: the journal/JOURNAL.md index and the per-experiment journal/NNshortname.md design notes that must be drafted and approved by the user before experiments/NNshortname.py is created. Drives the propose → iterate → approve → implement → record loop; dispatches to…
iterate-from-user
Source the next ML experiment proposal from the user via one of three entry points selected by AskUserQuestion: (a) a scientific article URL the agent must read and synthesize, (b) a resource link or path (GitHub issue / spec file / reference repo), or (c) free-text the user types directly. In every branch, the agent…
iterate-from-skore
Source the next ML experiment proposal by reading the audit digest at scratch/audit/ /audit.md (produced by audit-ml-pipeline at § 4 record-outcome). For every row in the digest's ## Checks summary whose severity is issue or tip, follow the row's documentationurl to draft a Backlog row whose Item is the mitigation the…
hugging-face-stat
获取 Hugging Face 上的模型、数据集和 Space 的统计信息.
esmfold2
Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al. 2026, github.com/Biohub/esm). Single-sequence and MSA modes; protein, DNA, RNA, ligand (CCD/SMILES), modified residues. FoldBench Ab-Ag 50-55%, PPI 70-77% DockQ-pass. Also covers the ESMC-{300M,600M,6B} protein language models from the same release…