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 skills add KunanonJ/ai-skills-hub --skill clean-codegit clone --depth 1 https://github.com/KunanonJ/ai-skills-hubWrote 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/skills/kunanonj/ai-skills-hub/clean-code)<a href="https://agentmods.dev/skills/kunanonj/ai-skills-hub/clean-code"><img src="https://agentmods.dev/badge/skills/kunanonj/ai-skills-hub/clean-code.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.01172 |
| Opus 5 | $0.00019 | $0.00586 |
| Sonnet 5 | $0.00008 | $0.00234 |
| Haiku 4.5 | $0.00004 | $0.00117 |
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 7d 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
86% identical to clean-code — 2 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clean Code Skill
This skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."
🧠 Core Philosophy
"Code is clean if it can be read, and enhanced by a developer other than its original author." — Grady Booch
When to Use
Use this skill when:
- Writing new code: To ensure high quality from the start.
- Reviewing Pull Requests: To provide constructive, principle-based feedback.
- Refactoring legacy code: To identify and remove code smells.
- Improving team standards: To align on industry-standard best practices.
1. Meaningful Names
- Use Intention-Revealing Names:
elapsedTimeInDaysinstead ofd. - Avoid Disinformation: Don't use
accountListif it's actually aMap. - Make Meaningful Distinctions: Avoid
ProductDatavsProductInfo. - Use Pronounceable/Searchable Names: Avoid
genymdhms. - Class Names: Use nouns (
Customer,WikiPage). AvoidManager,Data. - Method Names: Use verbs (
postPayment,deletePage).
2. Functions
- Small!: Functions should be shorter than you think.
- Do One Thing: A function should do only one thing, and do it well.
- One Level of Abstraction: Don't mix high-level business logic with low-level details (like regex).
- Descriptive Names:
isPasswordValidis better thancheck. - Arguments: 0 is ideal, 1-2 is okay, 3+ requires a very strong justification.
- No Side Effects: Functions shouldn't secretly change global state.
3. Comments
- Don't Comment Bad Code—Rewrite It: Most comments are a sign of failure to express ourselves in code.
- Explain Yourself in Code:
vs# Check if employee is eligible for full benefits if employee.flags & HOURLY and employee.age > 65:if employee.isEligibleForFullBenefits(): - Good Comments: Legal, Informative (regex intent), Clarification (external libraries), TODOs.
- Bad Comments: Mumbling, Redundant, Misleading, Mandated, Noise, Position Markers.
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.
- 7d ago First seen · 100 lines · 39 tokens per session scan A d90261fd5e38
clean-code is a skill published in the GitHub repository KunanonJ/ai-skills-hub (4 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 1,172 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to clean-code, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
swarm-pr-review
Run a graph-guided, tool-augmented PR review using context packing, parallel exploration, mandatory repository-agnostic risk-family coverage with dispatch scaled to diff size and risk, independent reviewer validation, critic challenge, and metrics writeback. Use for deep pull request review with low false-positive…
plankton-code-quality
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.
critic-gate
Full execution protocol for MODE: CRITIC-GATE -- plan critic review, revision loops, and hard stop before execution.
swarm-pr-feedback
Codex adapter for closing known PR feedback in any repository. Use when asked to address pasted review feedback, GitHub review comments or threads, requested changes, CI/check failures, merge conflicts, stale PR branches, or follow-up work that must verify and close all known PR issues.
codebase-review-swarm
Codex adapter for running a rigorous, quote-grounded codebase review or security/QA/accessibility/performance/AI-slop/enhancement audit. Use for full-repo or large-subsystem review reports; not for normal implementation.
swarm-pr-review
Thin adapter for the canonical swarm-pr-review skill. The authoritative workflow lives in .opencode and this file only preserves the mirror contract for Codex-side skill discovery.