python

A coding reference for Python type hints, protocols, data classes, asynchronous code, decorators, and data models. It favors explicit function boundaries and named error cases.

In plain words
What is it for?
Use it when designing typed Python APIs, modeling data, organizing services, handling errors, or writing asynchronous code.
Why use it?
It makes flexible Python code easier to understand, check, and maintain as the project grows.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/dean0x/devflow/python
Any agent
npx skills add dean0x/devflow --skill python
Clone the repo
git clone --depth 1 https://github.com/dean0x/devflow

Made for: Claude Code, Codex.

Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,195 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00065 $0.01195
Opus 5 $0.00032 $0.00598
Sonnet 5 $0.00013 $0.00239
Haiku 4.5 $0.00006 $0.00120

Measured yesterday against content hash 2d792e5ea867, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python 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.

src/assets/skills/python/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Patterns

Iron Law

EXPLICIT IS BETTER THAN IMPLICIT [3]

Type-hint every function signature. Name every exception. Use dataclasses over raw dicts. Python's flexibility is a strength only when boundaries are explicit.

When This Skill Activates

Working with Python codebases, designing typed APIs, modeling data with dataclasses or Pydantic, implementing async code, structuring Python packages.


Type Safety

Type Hint Everything [4][17][18]

# BAD: def process(data, config): ...
def process(data: list[dict[str, Any]], config: AppConfig) -> ProcessResult: ...

Dropbox's 4M-line mypy migration eliminated entire bug classes [18]. Use from __future__ import annotations for forward references [22].

Protocols for Structural Typing [5][1]

from typing import Protocol

class Repository(Protocol):
    def find_by_id(self, id: str) -> User | None: ...
    def save(self, entity: User) -> User: ...

PEP 544 formalizes duck typing as "static duck typing" — no implements required [5]. Any class with matching methods satisfies the Protocol [1].

Strict Optional Handling [4][23]

PEP 604 X | Y syntax replaces verbose Optional[X] [23]:

def get_name(user: User | None) -> str:
    return "Anonymous" if user is None else user.name

Error Handling [2][8][9]

class AppError(Exception): ...

class NotFoundError(AppError):
    def __init__(self, entity: str, id: str) -> None:
        super().__init__(f"{entity} {id} not found")
        self.entity, self.id = entity, id

@contextmanager
def database_transaction(conn: Connection):
    try:
        yield conn; conn.commit()
    except Exception:
        conn.rollback(); raise

Google Style Guide prohibits bare except: — catches SystemExit [8]. Cosmic Python wraps the unit-of-work in a context manager [9].


Data Modeling [6][12][14]

# Internal value objects — frozen enforces immutability [6][14]
@dataclass(frozen=True)
class User:
    name: str
    email: str
    created_at: datetime = field(default_factory=lambda: datetime.now(timezone.utc))

# API boundary models — Pydantic validates on instantiation [12]
class CreateUserRequest(BaseModel):
    name: str
    email: EmailStr
    age: int = Field(ge=0, le=150)

Read the full file on GitHub · 157 lines

Files

What ships with it

5 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.

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. yesterday First seen · 157 lines · 65 tokens per session scan A 2d792e5ea867

Subscribe to this mod's changes

python is a skill published in the GitHub repository dean0x/devflow (19 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 1,195 once invoked, about $0.0003 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 2026-08-30.

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