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/tazwake/public/clean-codegit clone --depth 1 https://github.com/TazWake/PublicWhat 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 | $0.00042 | $0.00376 |
| Opus 5 | $0.00021 | $0.00188 |
| Sonnet 5 | $0.00008 | $0.00075 |
| Haiku 4.5 | $0.00004 | $0.00038 |
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 2d 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.
This is a copy
91% identical to clean-code — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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
- 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.
- 2d ago First seen · 57 lines · 42 tokens per session scan A 91320a5b725c
clean-code is a cursor rule published in the GitHub repository TazWake/Public (44 stars, last pushed 13d ago), licensed CC0-1.0. It adds 42 tokens to every session and 376 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to clean-code, differing in 10 lines, and is treated as a copy.
Other cursor rules, from other repositories
project-overview
Project overview and architecture reference.
bundling
The project uses a custom type bundling system to provide full TypeScript IntelliSense support in the Monaco editor for @bubblelab/bubble-core and its dependencies. This is necessary because Monaco cannot directly resolve workspace packages or external dependencies.
case-uco-sdk
CASE/UCO SDK usage patterns for building digital forensics investigation graphs.
extension-authoring
Guidance for authoring CASE/UCO extension ontologies per the CDO Community Playground Guide.
api
For creating tests for the backend in bubblelab-api.
commit
Check commit styling guide at @COMMIT.md at / folder to see best styling practice for git commit messages.