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 rules/ivangrynenko/cursorrules/code-generation-standardsgit clone --depth 1 https://github.com/ivangrynenko/cursorrulesWhat 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 | $0.00000 | $0.00716 |
| Opus 5 | $0.00000 | $0.00358 |
| Sonnet 5 | $0.00000 | $0.00143 |
| Haiku 4.5 | $0.00000 | $0.00072 |
Grade A, and why
code-generation-standards scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- code-generation-standards — 91% identical, 100 lines differ
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enhanced Code Generation Standards
Ensures high-quality, executable code generation adhering to best practices across multiple programming languages.
Rule Details
-
Name: enhanced_code_generation_standards
-
Description: Enforce standards for code generation ensuring high quality and integration readiness
Filters
- file extension pattern:
"\\.(php|js|ts|vue|jsx|tsx|py|rb|java)$" # Expanded to include Ruby and Java
Enforcement Checks
- Conditions:
- pattern
// TODO:|#\\s*TODO:– Replace TODOs with actual implementation - no placeholders allowed. - pattern
function\\s+\\w+\\s*\\([^)]*\\)\\s*\\{\\s*(?:return\\s+null|throw\\s+new\\s+Error|console\\.log)\\s*\\}– Implement full functionality - no stub methods. - pattern
\\bif\\b\\s*\\(\\s*false\\s*\\)– Remove or replace conditional statements that are always false. - pattern
\\bconsole\\.[^(]+|print\\s*\\(– negatedDEBUG|LOGGING– Remove debug logging unless it's conditional on a debug flag. - pattern
^\\s*#\\s*\\w+:\\s*\\w+\\s*$– In Python, prefer type hints over comments for type annotations.
- pattern
Suggestions
- Guidance: Code Generation Best Practices:
- Executable Solutions: Generate fully functional code, not just skeletons or stubs.
- Readability:
- Prioritize code readability, with clear naming conventions and logical structure.
- Use whitespace effectively to enhance code clarity.
- Error Handling:
- Implement comprehensive error handling with appropriate exceptions or error codes.
- Consider edge cases and provide meaningful error messages.
- Imports/Dependencies:
- Include all necessary imports or require statements at the beginning of the file.
- Manage dependencies to ensure the code is self-contained or clearly documented for setup.
- Integration:
- Code should be immediately usable within the project's existing framework or technology stack.
- Ensure compatibility with existing patterns or libraries used in the project.
- Formatting:
- Adhere to the project's coding style guide (e.g., Prettier, Black for Python, etc.).
- Use linters and formatters to maintain consistent code style.
- Testing:
- Include unit or integration tests where applicable to validate generated code.
- Encourage test-driven development if part of the project's culture.
- Documentation:
- Provide inline comments for complex logic or algorithms.
- Write docstrings or JSDoc for functions, classes, and modules to describe usage, parameters, and return values.
- Consider generating external documentation if the project uses tools like Swagger for APIs or Sphinx for Python.
- Security:
- Avoid hardcoded credentials or sensitive information.
- Follow security best practices for the language (e.g., SQL injection prevention in PHP, XSS in JavaScript).
- Performance: While readability takes precedence, be mindful of performance implications of the generated code.
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.
- yesterday First seen · 60 lines · 716 tokens per session scan A e90556ea7d40
code-generation-standards is a cursor rule published in the GitHub repository ivangrynenko/cursorrules (87 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 716 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
angular
Angular: signals, standalone components, RxJS patterns.
django
Django: models, views, ORM best practices.
java
Modern Java: records, sealed classes, streams, virtual threads.
javascript
Modern JavaScript: ES2023+, async patterns, common traps.
rust
Rust patterns: ownership, Result types, iterators.
accessibility
Accessibility: semantic HTML, ARIA, keyboard navigation, testing.