py-clean-arch

py-clean-arch is a skill for Claude Code, Codex from CJHwong/py-clean-architecture-examples. It costs 113 tokens per session (1,816 once invoked), scanned A, original, no licence file.

A project-specific guide to applying Clean Architecture in Python. Clean Architecture separates business rules from interfaces and external tools, and this guide defines the project’s layers, folders, boundaries, and import rules.

In plain words
What is it for?
Use it when working on the referenced Python architecture, especially when adding layers, defining boundary interfaces, or checking import contracts.
Why use it?
It reduces uncertainty about where Python code belongs and which parts of the system may depend on one another.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it when working on the referenced Python architecture, especially when adding layers, defining boundary interfaces, or checking import contracts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cjhwong/py-clean-architecture-examples/py-clean-arch
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.

Any agent
npx skills add CJHwong/py-clean-architecture-examples --skill py-clean-arch
Clone the repo
git clone --depth 1 https://github.com/CJHwong/py-clean-architecture-examples

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for py-clean-arch

README.md
[![agentmods](https://agentmods.dev/badge/skills/cjhwong/py-clean-architecture-examples/py-clean-arch/github.svg)](https://agentmods.dev/skills/cjhwong/py-clean-architecture-examples/py-clean-arch)
Your own site
<a href="https://agentmods.dev/skills/cjhwong/py-clean-architecture-examples/py-clean-arch"><img src="https://agentmods.dev/badge/skills/cjhwong/py-clean-architecture-examples/py-clean-arch/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.

agentmods 80×15 button for py-clean-arch

Your own site · 80×15
<a href="https://agentmods.dev/skills/cjhwong/py-clean-architecture-examples/py-clean-arch"><img src="https://agentmods.dev/badge/skills/cjhwong/py-clean-architecture-examples/py-clean-arch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,816 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found 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 5.1 $0.00113 $0.01816
Opus 5.5 $0.00045 $0.00726
Sonnet 5.5 $0.00023 $0.00363
Haiku 4.5 $0.00011 $0.00182

Measured 1mo ago against content hash 1cc7ce88d34a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

py-clean-arch 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 1mo ago.

The scan reads SKILL.md. This mod also ships 18 executable files (references/__init__.py, references/l1_entities/__init__.py, references/l1_entities/entity.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/py-clean-arch/SKILL.md · 119 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 1mo ago First seen · 119 lines · 113 tokens per session scan A 1cc7ce88d34a

Subscribe to this mod's changes

py-clean-arch is a skill published in the GitHub repository CJHwong/py-clean-architecture-examples (12 stars, last pushed 16d ago), with no licence file. It adds 113 tokens to every session and 1,816 once invoked, about $0.0005 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 2026-08-30.

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