mastering-python-skill

A Python development guide covering basic language concepts, project setup, testing, web APIs, databases, and deployment. It includes runnable examples and patterns for tools such as pytest, FastAPI, Poetry, and PDM.

In plain words
What is it for?
Use it to write or explain Python code, create a Python project, build FastAPI endpoints, configure dependencies and database migrations, run tests, or prepare a package for deployment.
Why use it?
It gives developers a defined workflow for creating, checking, testing, and packaging Python projects instead of requiring them to assemble practices themselves.

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/spillwavesolutions/agent-brain/mastering-python-skill
Any agent
npx skills add SpillwaveSolutions/agent-brain --skill mastering-python-skill
Clone the repo
git clone --depth 1 https://github.com/SpillwaveSolutions/agent-brain

Made for: Claude Code, Codex.

Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,446 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 $0.00127 $0.01446
Opus 5 $0.00063 $0.00723
Sonnet 5 $0.00025 $0.00289
Haiku 4.5 $0.00013 $0.00145

Measured yesterday against content hash 18af56abd3d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mastering-python-skill 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.

The scan reads SKILL.md. This mod also ships 4 executable files (sample-cli/async_fetcher.py, sample-cli/code_validator.py, sample-cli/config_loader.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.

.claude/skills/mastering-python-skill/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mastering Python Skill

Production-ready Python patterns with runnable code examples.

Contents


Workflow

Phase 1: Setup

  1. Verify Python version

    python --version  # Require 3.10+, prefer 3.12+
    
  2. Create and activate virtual environment

    python -m venv .venv && source .venv/bin/activate
    
  3. Install dependencies

    poetry install  # or: pip install -r requirements.txt
    

Phase 2: Develop

  1. Reference appropriate patterns:

  2. Follow project structure from project-structure.md

Phase 3: Validate

  1. Run quality checks

    ruff check . && ruff format --check .
    mypy src/
    
  2. Run tests with coverage

    pytest -v --cov=src --cov-report=term-missing
    

Phase 4: Deploy

  1. Build and verify package

    python -m build && twine check dist/*
    
  2. Deploy per docker-deployment.md or ci-cd-pipelines.md

Pre-Completion Checklist:

- [ ] All tests pass
- [ ] mypy reports no errors
- [ ] ruff check clean
- [ ] Coverage ≥80%
- [ ] No security warnings in dependencies

Reference Files

Category Files Key Topics
Foundations syntax-essentials, type-systems, project-structure, code-quality Variables, type hints, generics, src layout, ruff, mypy
Patterns async-programming, error-handling, decorators, context-managers, generators async/await, exceptions, Result type, with statements, yield
Testing pytest-essentials, mocking-strategies, property-testing Fixtures, parametrize, unittest.mock, Hypothesis
Web APIs fastapi-patterns, pydantic-validation, database-access Dependencies, middleware, validators, SQLAlchemy async
Packaging poetry-workflow, pyproject-config, docker-deployment Lock files, PEP 621, multi-stage builds
Production ci-cd-pipelines, monitoring, security GitHub Actions, OpenTelemetry, OWASP, JWT

Read the full file on GitHub · 142 lines

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 · 142 lines · 127 tokens per session scan A 18af56abd3d7

Subscribe to this mod's changes

mastering-python-skill is a skill published in the GitHub repository SpillwaveSolutions/agent-brain (117 stars, last pushed 2d ago), licensed MIT. It adds 127 tokens to every session and 1,446 once invoked, about $0.0006 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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