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 justanesta/claude-code-resources --skill modern-python-patternsgit clone --depth 1 https://github.com/justanesta/claude-code-resourcesWrote 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/justanesta/claude-code-resources/modern-python-patterns)<a href="https://agentmods.dev/skills/justanesta/claude-code-resources/modern-python-patterns"><img src="https://agentmods.dev/badge/skills/justanesta/claude-code-resources/modern-python-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/justanesta/claude-code-resources/modern-python-patterns"><img src="https://agentmods.dev/badge/skills/justanesta/claude-code-resources/modern-python-patterns.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 | $0.00062 | $0.01427 |
| Opus 5.5 | $0.00025 | $0.00571 |
| Sonnet 5.5 | $0.00012 | $0.00285 |
| Haiku 4.5 | $0.00006 | $0.00143 |
Grade A, and why
modern-python-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 2mo 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Modern Python Patterns
Modern Python patterns for 3.10+ emphasizing readability, type safety, and idiomaticity.
Core Principles
- Type hints everywhere - Function signatures, class attributes, variables when unclear
- Dataclasses over dicts - Structured data with validation
- Pathlib over os.path - Object-oriented file paths
- f-strings over .format() - Readable string formatting
Type Hints
Always annotate function signatures
from typing import Optional, Union
from collections.abc import Sequence
def process_items(
items: Sequence[str],
threshold: float = 0.5,
max_count: Optional[int] = None
) -> list[str]:
"""Process items with optional limit."""
return [item for item in items if len(item) > threshold]
Modern patterns (3.10+):
- Use
list[str]notList[str](PEP 585) - Use
str | NonenotOptional[str](PEP 604) - Use
collections.abcnottypingfor abstract types
See type-hints-examples.md for:
- Generic types with TypeVar
- Protocol classes for structural typing
- Literal types and type narrowing
- typing.cast() and type guards
Dataclasses
Use dataclasses for structured data
from dataclasses import dataclass, field
@dataclass
class Config:
host: str
port: int = 8080
debug: bool = False
tags: list[str] = field(default_factory=list)
Benefits:
- Auto-generated
__init__,__repr__,__eq__ - Type validation with type hints
- Immutable with
frozen=True - Post-init processing with
__post_init__
See dataclass-examples.md for:
- Validation patterns
- Inheritance and composition
- Integration with Pydantic
- Slots for memory optimization
Pattern Matching (3.10+)
Use match/case for complex conditionals
def process_response(response: dict) -> str:
match response:
case {"status": "success", "data": data}:
return f"Success: {data}"
case {"status": "error", "code": code, "message": msg}:
return f"Error {code}: {msg}"
case {"status": status}:
return f"Unknown status: {status}"
case _:
return "Invalid response"
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 216 lines · 62 tokens per session scan A 3c8fe89b1a88
modern-python-patterns is a skill published in the GitHub repository justanesta/claude-code-resources (2 stars, last pushed 6mo ago), licensed MIT. It adds 62 tokens to every session and 1,427 once invoked, about $0.0002 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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