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/performance-optimization)<a href="https://agentmods.dev/rules/holtwood/awesome-cursorrules-zh/performance-optimization"><img src="https://agentmods.dev/badge/rules/holtwood/awesome-cursorrules-zh/performance-optimization/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/performance-optimization"><img src="https://agentmods.dev/badge/rules/holtwood/awesome-cursorrules-zh/performance-optimization.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 | $0.00152 | $0.00152 |
| Opus 5.5 | $0.00061 | $0.00061 |
| Sonnet 5.5 | $0.00030 | $0.00030 |
| Haiku 4.5 | $0.00015 | $0.00015 |
Grade A, and why
performance-optimization 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
- 使用 Django ORM 的
select_related和prefetch_related优化关联对象的查询性能。 - 使用 Django 的缓存框架及后端支持（如 Redis 或 Memcached）来减少数据库负载。
- 实现数据库索引和查询优化技术以获得更好的性能。
- 对 I/O 密集型或长时间运行的操作使用异步视图和后台任务（通过 Celery）。
- 使用 Django 的静态文件管理系统（如 WhiteNoise 或 CDN 集成）优化静态文件处理。
- 在开发的每个阶段都优先考虑安全和性能优化。
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 · 11 lines · 152 tokens per session scan A 659e4d44ee90
performance-optimization is a cursor rule published in the GitHub repository holtwood/awesome-cursorrules-zh (240 stars, last pushed 11d ago), licensed MIT. It adds 152 tokens to every session, about $0.0006 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.
Other cursor rules, from other repositories
fastapi-performance-optimization
description: Outlines performance optimization techniques for FastAPI applications, including asynchronous operations and caching. globs: /.py.
java-springboot-jpa-cursorrules-prompt-file
Cursor rules for Java development with Springboot and JPA integration.
nodejs-mongodb-cursorrules-prompt-file-tutorial
Cursor rules for Node.js development with MongoDB integration.
using-archipy-adapters
Using and writing adapters in ArchiPy apps — extras, ports, test fakes, boundary errors.
nodejs-mongodb-jwt-express-react-cursorrules-promp
Cursor rules for Node.js development with MongoDB, JWT, Express, and React integration.
prisma
Prisma: schema modeling, queries, migrations.