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 agentmods add skills/niuverse/skills/python-architectnpx skills add niuverse/skills --skill python-architectgit clone --depth 1 https://github.com/niuverse/skillsWhat 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 | $0.00143 | $0.02101 |
| Opus 5 | $0.00072 | $0.01051 |
| Sonnet 5 | $0.00029 | $0.00420 |
| Haiku 4.5 | $0.00014 | $0.00210 |
Grade A, and why
python-architect 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 — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Architect
Expert-level Python software architecture with modern tooling and best practices.
🎯 Philosophy
- Simplicity over complexity: Simple solutions are easier to maintain
- Tests as documentation: Well-written tests explain intent
- Type safety: Use type hints to catch bugs early
- Automation: Automate checks, formatting, and releases
🛠️ Tech Stack
| Tool | Purpose | Replacement For |
|---|---|---|
| uv | Package management & virtual envs | pip, poetry, pipenv |
| ruff | Linting & formatting | flake8, black, isort, pydocstyle |
| pytest | Testing | unittest |
| mypy | Type checking | - |
| pre-commit | Git hooks | - |
| GitHub Actions | CI/CD | - |
📁 Project Structure
my-project/
├── src/
│ └── my_project/ # Source code
│ ├── __init__.py
│ ├── core/ # Domain logic
│ ├── services/ # Business logic
│ ├── repositories/ # Data access
│ └── api/ # Web interface
├── tests/
│ ├── unit/ # Unit tests
│ ├── integration/ # Integration tests
│ └── conftest.py # pytest fixtures
├── docs/ # Documentation
├── scripts/ # Utility scripts
├── .github/
│ └── workflows/ # CI/CD
├── pyproject.toml # Project config (uv, ruff, pytest, mypy)
├── README.md
├── LICENSE
└── .pre-commit-config.yaml
🚀 Quick Start
# Create new project
python scripts/init_python_project.py my-project
# Setup existing project
python scripts/setup_modern_python.py
# Run all checks
python scripts/check_project.py
📋 Best Practices
1. Project Initialization with uv
# Create project
uv init my-project
cd my-project
# Add dependencies
uv add requests pydantic
uv add --dev pytest ruff mypy
# Sync environment
uv sync
2. pyproject.toml Configuration
[project]
name = "my-project"
version = "0.1.0"
description = "A modern Python project"
requires-python = ">=3.11"
dependencies = [
"pydantic>=2.0",
]
[project.optional-dependencies]
dev = [
"pytest>=7.0",
"pytest-cov",
"ruff>=0.1.0",
"mypy>=1.0",
"pre-commit",
]
[tool.ruff]
target-version = "py311"
line-length = 88
select = [
"E", # pycodestyle errors
"F", # Pyflakes
"I", # isort
"N", # pep8-naming
"W", # pycodestyle warnings
"UP", # pyupgrade
"B", # flake8-bugbear
"C4", # flake8-comprehensions
"SIM", # flake8-simplify
]
ignore = ["E501"] # Line too long (handled by formatter)
[tool.ruff.format]
quote-style = "double"
indent-style = "space"
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
addopts = "-v --tb=short --strict-markers"
markers = [
"unit: Unit tests",
"integration: Integration tests",
"slow: Slow tests",
]
[tool.mypy]
python_version = "3.11"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true
strict = true
What ships with it
3 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.
- yesterday First seen · 318 lines · 143 tokens per session scan A b316bc1d56f4
python-architect is a skill published in the GitHub repository niuverse/skills (2 stars, last pushed 2d ago), licensed MIT. It adds 143 tokens to every session and 2,101 once invoked, about $0.0007 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 2026-08-31.
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