clean-code

A set of clean-code rules for clear names, small focused functions, simple control flow, and readable code.

In plain words
What is it for?
Use it when naming variables and functions, splitting up large functions, choosing parameters, and simplifying conditional logic.
Why use it?
It reduces the effort needed to understand, change, and review code by limiting ambiguity and unnecessary complexity.

Cursor rule

Install

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.

agentmods
npx agentmods add rules/nedcodes-ok/cursor-doctor/clean-code
Clone the repo
git clone --depth 1 https://github.com/nedcodes-ok/cursor-doctor
Per session 879 This file is loaded in full into every session.
When invoked 879 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00879 $0.00879
Opus 5 $0.00439 $0.00439
Sonnet 5 $0.00176 $0.00176
Haiku 4.5 $0.00088 $0.00088

Measured yesterday against content hash 39037c194aac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

Origin

This is a copy

100% identical to clean-code — 0 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.

pro-kit/templates/practices/clean-code.mdc · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clean Code Rules

Naming

  • Names reveal intent: remainingRetries not r, fetchActiveUsers() not getData(). If you need a comment to explain what a variable holds, the name is wrong
  • Booleans read as questions: isActive, hasPermission, canEdit, shouldRetry. Never active (adjective? noun?) or flag (flag for what?)
  • Functions are verbs: fetchUser, calculateTotal, validateInput, parseConfig. Not userData, total, validator
  • Avoid abbreviations unless universally understood (URL, ID, HTTP, API). usr, mgr, ctx save keystrokes and cost readability. Exception: loop variables (i, j) and lambda params in short chains
  • Don't encode types in names: userList, nameString, isActiveBool — the type system already tells you. Just users, name, isActive

Functions

  • One job per function — if you can describe it with "and" it's doing too much. validateAndSaveUser() is two functions
  • 3 parameters max. Beyond that, group into an options/config object: createUser({ name, email, role }) not createUser(name, email, role, isAdmin, sendWelcome)
  • Return early with guard clauses to avoid nesting: check preconditions at the top, return/throw, then the happy path stays at indent level 1
  • Side effects are lies: a function named getUser that also logs analytics and updates a cache is lying about what it does. Name it getOrCacheUser or split it
  • Keep functions under 30 lines. If you're scrolling to understand a single function, it's too long. Extract helpers with descriptive names — the function calls become the documentation

Dead Code

  • Delete commented-out code immediately — git has the history. Commented code rots: it doesn't compile, doesn't get refactored, and confuses everyone about whether it's needed
  • Remove unused imports, variables, functions, and parameters. Every dead symbol is a false signal to the next reader
  • Kill feature flags for features that shipped months ago — they add branching complexity with zero value

Read the full file on GitHub · 43 lines

Changes

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.

  1. yesterday First seen · 43 lines · 879 tokens per session scan A 39037c194aac

Subscribe to this mod's changes

clean-code is a cursor rule published in the GitHub repository nedcodes-ok/cursor-doctor (9 stars, last pushed 5mo ago), licensed MIT. It adds 879 tokens to every session, about $0.0044 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to clean-code, differing in 0 lines, and is treated as a copy.