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 denyszhak/pystack-skills --skill python-antipatterns-cheatsheetgit clone --depth 1 https://github.com/denyszhak/pystack-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/denyszhak/pystack-skills/python-antipatterns-cheatsheet)<a href="https://agentmods.dev/skills/denyszhak/pystack-skills/python-antipatterns-cheatsheet"><img src="https://agentmods.dev/badge/skills/denyszhak/pystack-skills/python-antipatterns-cheatsheet/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/denyszhak/pystack-skills/python-antipatterns-cheatsheet"><img src="https://agentmods.dev/badge/skills/denyszhak/pystack-skills/python-antipatterns-cheatsheet.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00129 | $0.01487 |
| Opus 5.5 | $0.00052 | $0.00595 |
| Sonnet 5.5 | $0.00026 | $0.00297 |
| Haiku 4.5 | $0.00013 | $0.00149 |
Grade A, and why
python-antipatterns-cheatsheet 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.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-pattern cheatsheet
The GoF book was written for C++ and Java in 1994. Some of its patterns address language constraints those languages had (no first-class functions, no modules-as-namespaces, mandatory new) that Python doesn't. Agents still import those shapes into Python, usually as ceremony.
This is the quick reference for the imported patterns that show up in real Python reviews. It is not a GoF encyclopedia.
The cheatsheet
Singleton — anti-pattern
Symptom: class Logger: _instance = None; def __new__(cls): if cls._instance is None: ...; or Logger.instance() as the canonical accessor; or @singleton decorator.
Why it fights Python: Python has modules. A module is loaded once. A module-level variable IS a singleton. There's no new keyword to prevent — there's just construction, which you can choose not to do.
For services with app-lifetime state (DB pool, HTTP client), use dependency injection — create once in lifespan, store on app.state, inject through Depends. Singletons hide their dependencies; DI makes them explicit and testable.
Use instead:
- Module-level constants for true constants
- Dependency injection for services and pools (
python-fastapi-sa-app-setup)
# Don't
class StripeClient:
_instance: "StripeClient | None" = None
@classmethod
def instance(cls) -> "StripeClient":
if cls._instance is None:
cls._instance = cls(...)
return cls._instance
# Do — init in lifespan, inject via Depends
async def init_stripe_client(app: FastAPI, config: StripeConfig) -> None:
app.state.stripe_client = StripeClient(...)
def get_stripe_client(request: Request) -> StripeClient:
return request.app.state.stripe_client
See: python-fastapi-sa-app-setup, python-external-client
Abstract Factory — anti-pattern
Symptom: class AbstractEmailClientFactory: @abstractmethod def create(...); concrete factory subclasses for each "family" of products.
Why it fights Python: Classes are first-class objects — you can pass the class itself, or store classes in a dict, and the dispatch becomes a one-line lookup. No AbstractFactory → ConcreteFactory → Product hierarchy needed.
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.
- yesterday Changed · +4 lines 9fd265fab6bc
- 1mo ago First seen · 150 lines · 129 tokens per session scan A cd0321acf6c5
python-antipatterns-cheatsheet is a skill published in the GitHub repository denyszhak/pystack-skills (4 stars, last pushed yesterday), licensed MIT. It adds 129 tokens to every session and 1,487 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 2026-08-31.
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