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/Hansonli05/Cursor-rules-systemWrote 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/hansonli05/cursor-rules-system/clean-code)<a href="https://agentmods.dev/rules/hansonli05/cursor-rules-system/clean-code"><img src="https://agentmods.dev/badge/rules/hansonli05/cursor-rules-system/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/hansonli05/cursor-rules-system/clean-code"><img src="https://agentmods.dev/badge/rules/hansonli05/cursor-rules-system/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 | $0.00928 | $0.00928 |
| Opus 5.5 | $0.00371 | $0.00371 |
| Sonnet 5.5 | $0.00186 | $0.00186 |
| Haiku 4.5 | $0.00093 | $0.00093 |
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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clean Code Standards
Summary
Establishes consistent code quality standards and best practices for maintainable, readable code across the project.
Context
Clean code reduces technical debt, improves team collaboration, and makes the codebase more maintainable over time. These standards ensure consistency regardless of who is writing the code.
Instructions
General Principles
- Clarity over cleverness - Write code that tells a story
- Consistency - Follow established patterns throughout the codebase
- Simplicity - Prefer simple solutions over complex ones
- Single Responsibility - Each function/class should have one clear purpose
Naming Conventions
-
Variables: Use descriptive, meaningful names
- Good:
userAuthenticationToken,isEmailValid - Bad:
token,flag,data
- Good:
-
Functions: Use verb-noun combinations that describe what the function does
- Good:
validateUserEmail(),fetchUserProfile() - Bad:
check(),handle(),process()
- Good:
-
Constants: Use UPPER_SNAKE_CASE for constants
- Good:
MAX_RETRY_ATTEMPTS,API_BASE_URL - Bad:
maxRetries,apiUrl
- Good:
Function Guidelines
- Keep functions small - Aim for 20 lines or fewer
- Single responsibility - One function, one job
- Pure functions when possible - Predictable inputs and outputs
- Avoid deep nesting - Use early returns to reduce complexity
Code Organization
- Group related functionality together
- Separate concerns - Business logic, UI logic, data access
- Use consistent file structure across similar components
- Import organization - External libraries, internal modules, relative imports
Comments and Documentation
- Write self-documenting code - Good names reduce need for comments
- Comment the "why", not the "what" - Explain business logic and decisions
- Keep comments up to date - Outdated comments are worse than no comments
- Use JSDoc/TSDoc for public APIs and complex functions
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.
- 2mo ago First seen · 119 lines · 928 tokens per session scan A bce402242f67
clean-code is a cursor rule published in the GitHub repository Hansonli05/Cursor-rules-system (2 stars, last pushed 1y ago), licensed MIT. It adds 928 tokens to every session, about $0.0037 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 2026-08-31.
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