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/holtwood/awesome-cursorrules-zhWrote 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/rules/holtwood/awesome-cursorrules-zh/matplotlib-visualization)<a href="https://agentmods.dev/rules/holtwood/awesome-cursorrules-zh/matplotlib-visualization"><img src="https://agentmods.dev/badge/rules/holtwood/awesome-cursorrules-zh/matplotlib-visualization/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/rules/holtwood/awesome-cursorrules-zh/matplotlib-visualization"><img src="https://agentmods.dev/badge/rules/holtwood/awesome-cursorrules-zh/matplotlib-visualization.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 | $0.00172 | $0.00172 |
| Opus 5.5 | $0.00069 | $0.00069 |
| Sonnet 5.5 | $0.00034 | $0.00034 |
| Haiku 4.5 | $0.00017 | $0.00017 |
Grade A, and why
matplotlib-visualization 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 1mo 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.
What it actually says
Matplotlib 可视化指南
基础图表
创建多子图布局
import matplotlib.pyplot as plt
fig, axes = plt.subplots(2, 2, figsize=(10, 8))
# 散点图
axes[0, 0].scatter(x, y, s=20, alpha=0.5)
axes[0, 0].set_title('散点图')
# 折线图
axes[0, 1].plot(x, y, 'g-', linewidth=2)
# 直方图
axes[1, 0].hist(data, bins=20, color='skyblue')
# 箱线图
axes[1, 1].boxplot([data1, data2])
plt.tight_layout()
plt.show()
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.
- 1mo ago First seen · 27 lines · 172 tokens per session scan A 05bdb6b8ec84
matplotlib-visualization is a cursor rule published in the GitHub repository holtwood/awesome-cursorrules-zh (239 stars, last pushed 6d ago), licensed MIT. It adds 172 tokens to every session, about $0.0007 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 2026-09-03.
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