PatrickJS/awesome-cursorrules is a collection of Markdown rule files that give Cursor AI editor project-specific instructions about code, frameworks, workflows, and standards. Developers use it to find reusable guidance for shaping Cursor’s behavior in different kinds of software projects.
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/PatrickJS/awesome-cursorrulesWrote 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/patrickjs/awesome-cursorrules/clean-code)<a href="https://agentmods.dev/rules/patrickjs/awesome-cursorrules/clean-code"><img src="https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/clean-code/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/patrickjs/awesome-cursorrules/clean-code"><img src="https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/clean-code.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 | $0.00000 | $0.00374 |
| Opus 5.5 | $0.00000 | $0.00150 |
| Sonnet 5.5 | $0.00000 | $0.00075 |
| Haiku 4.5 | $0.00000 | $0.00037 |
Grade A, and why
clean-code 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- clean-code — 97% identical, 6 lines differ
- clean-code — 97% identical, 6 lines differ
- clean-code — 97% identical, 6 lines differ
- clean_code — 97% identical, 5 lines differ
- Clean-code — 97% identical, 13 lines differ
- clean-code — 95% identical, 7 lines differ
- clean-code — 95% identical, 9 lines differ
- clean-code — 95% identical, 11 lines differ
What it actually says
Clean Code Guidelines
Constants Over Magic Numbers
- Replace hard-coded values with named constants
- Use descriptive constant names that explain the value's purpose
- Keep constants at the top of the file or in a dedicated constants file
Meaningful Names
- Variables, functions, and classes should reveal their purpose
- Names should explain why something exists and how it's used
- Avoid abbreviations unless they're universally understood
Smart Comments
- Don't comment on what the code does - make the code self-documenting
- Use comments to explain why something is done a certain way
- Document APIs, complex algorithms, and non-obvious side effects
Single Responsibility
- Each function should do exactly one thing
- Functions should be small and focused
- If a function needs a comment to explain what it does, it should be split
DRY (Don't Repeat Yourself)
- Extract repeated code into reusable functions
- Share common logic through proper abstraction
- Maintain single sources of truth
Clean Structure
- Keep related code together
- Organize code in a logical hierarchy
- Use consistent file and folder naming conventions
Encapsulation
- Hide implementation details
- Expose clear interfaces
- Move nested conditionals into well-named functions
Code Quality Maintenance
- Refactor continuously
- Fix technical debt early
- Leave code cleaner than you found it
Testing
- Write tests before fixing bugs
- Keep tests readable and maintainable
- Test edge cases and error conditions
Version Control
- Write clear commit messages
- Make small, focused commits
- Use meaningful branch names
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 · 57 lines · 0 tokens per session scan A ebbf56b9e6df
clean-code is a cursor rule published in the GitHub repository PatrickJS/awesome-cursorrules (40,948 stars, last pushed 4mo ago), licensed CC0-1.0. It costs nothing until one of its globs matches a file; then it loads 374 tokens. 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.
Other cursor rules, from other repositories
karen-repo-reviewer
Use Karen for brutally honest repository reviews with market-aware Karen Scores. Analyzes entire codebases for over-engineering, completion honesty, and whether the project actually solves a real problem.
general-code-quality-and-style
Project-wide rules for readable, maintainable TypeScript code, functional programming, file organization, naming, modular design, reviews, and web performance.
ai-interaction-guidelines
A rule for keeping AI-generated code comments to a minimum and using clear names for variables and functions instead.
refactoring-existing-code
Code-refactoring rules guide changes to existing software with attention to readability, performance, and maintainability. They also require keeping JSDoc comments unchanged.
refactoring
Refactoring: systematic approach, extract/inline, guard clauses, early returns.
clean-code
Clean code: naming, functions, simplicity.