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 julianobarbosa/claude-code-skills --skill python-design-patternsgit clone --depth 1 https://github.com/julianobarbosa/claude-code-skillsWrote 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/julianobarbosa/claude-code-skills/python-design-patterns)<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/python-design-patterns"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/python-design-patterns/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.
<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/python-design-patterns"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/python-design-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00044 | $0.02914 |
| Opus 5 | $0.00022 | $0.01457 |
| Sonnet 5 | $0.00009 | $0.00583 |
| Haiku 4.5 | $0.00004 | $0.00291 |
Grade A, and why
python-design-patterns 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 422 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Design Patterns
Write maintainable Python code using fundamental design principles. These patterns help you build systems that are easy to understand, test, and modify.
When to Use This Skill
- Designing new components or services
- Refactoring complex or tangled code
- Deciding whether to create an abstraction
- Choosing between inheritance and composition
- Evaluating code complexity and coupling
- Planning modular architectures
Core Concepts
1. KISS (Keep It Simple)
Choose the simplest solution that works. Complexity must be justified by concrete requirements.
2. Single Responsibility (SRP)
Each unit should have one reason to change. Separate concerns into focused components.
3. Composition Over Inheritance
Build behavior by combining objects, not extending classes.
4. Rule of Three
Wait until you have three instances before abstracting. Duplication is often better than premature abstraction.
Quick Start
# Simple beats clever
# Instead of a factory/registry pattern:
FORMATTERS = {"json": JsonFormatter, "csv": CsvFormatter}
def get_formatter(name: str) -> Formatter:
return FORMATTERS[name]()
Fundamental Patterns
Pattern 1: KISS - Keep It Simple
Before adding complexity, ask: does a simpler solution work?
# Over-engineered: Factory with registration
class OutputFormatterFactory:
_formatters: dict[str, type[Formatter]] = {}
@classmethod
def register(cls, name: str):
def decorator(formatter_cls):
cls._formatters[name] = formatter_cls
return formatter_cls
return decorator
@classmethod
def create(cls, name: str) -> Formatter:
return cls._formatters[name]()
@OutputFormatterFactory.register("json")
class JsonFormatter(Formatter):
...
# Simple: Just use a dictionary
FORMATTERS = {
"json": JsonFormatter,
"csv": CsvFormatter,
"xml": XmlFormatter,
}
def get_formatter(name: str) -> Formatter:
"""Get formatter by name."""
if name not in FORMATTERS:
raise ValueError(f"Unknown format: {name}")
return FORMATTERS[name]()
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.
- 8d ago First seen · 422 lines · 44 tokens per session scan A 0d0e88f1c401
python-design-patterns is a skill published in the GitHub repository julianobarbosa/claude-code-skills (10 stars, last pushed 16d ago), licensed MIT. It adds 44 tokens to every session and 2,914 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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