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 timwukp/agent-skills-best-practice --skill python-project-setupgit clone --depth 1 https://github.com/timwukp/agent-skills-best-practiceWrote 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/timwukp/agent-skills-best-practice/python-project-setup)<a href="https://agentmods.dev/skills/timwukp/agent-skills-best-practice/python-project-setup"><img src="https://agentmods.dev/badge/skills/timwukp/agent-skills-best-practice/python-project-setup/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/timwukp/agent-skills-best-practice/python-project-setup"><img src="https://agentmods.dev/badge/skills/timwukp/agent-skills-best-practice/python-project-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.01579 |
| Opus 5.5 | $0.00028 | $0.00632 |
| Sonnet 5.5 | $0.00014 | $0.00316 |
| Haiku 4.5 | $0.00007 | $0.00158 |
Grade A, and why
python-project-setup 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 1mo 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 — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Project Setup
Instructions
Step 1: Gather Requirements
Ask:
- What type of project? (library/package, web app, CLI tool, data pipeline)
- Minimum Python version? (default: 3.11+)
- Package manager preference? (pip, uv, poetry, pdm)
- Layout preference? (src-layout or flat-layout)
- What frameworks? (FastAPI, Django, Flask, Click, Typer)
- CI platform? (GitHub Actions, GitLab CI)
Step 2: Project Structure
src-layout (recommended for libraries):
my-project/
src/
my_package/
__init__.py
main.py
models.py
tests/
__init__.py
conftest.py
test_main.py
pyproject.toml
README.md
.pre-commit-config.yaml
.github/
workflows/
ci.yml
flat-layout (simpler, for apps):
my-project/
my_package/
__init__.py
main.py
tests/
conftest.py
test_main.py
pyproject.toml
README.md
Use src-layout by default. It prevents accidental imports of the source during testing.
Step 3: Generate pyproject.toml
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "my-package"
version = "0.1.0"
description = "A brief description of the project"
readme = "README.md"
license = "MIT"
requires-python = ">=3.11"
authors = [
{ name = "Your Name", email = "[email protected]" },
]
dependencies = []
[project.optional-dependencies]
dev = [
"pytest>=8.0",
"pytest-cov>=5.0",
"ruff>=0.4",
"mypy>=1.10",
"pre-commit>=3.7",
]
[project.scripts]
my-cli = "my_package.main:cli"
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = [
"--strict-markers",
"--strict-config",
"-ra",
]
[tool.ruff]
target-version = "py311"
line-length = 88
[tool.ruff.lint]
select = [
"E", # pycodestyle errors
"W", # pycodestyle warnings
"F", # pyflakes
"I", # isort
"B", # flake8-bugbear
"C4", # flake8-comprehensions
"UP", # pyupgrade
"SIM", # flake8-simplify
]
[tool.ruff.lint.isort]
known-first-party = ["my_package"]
[tool.mypy]
python_version = "3.11"
strict = true
warn_return_any = true
warn_unused_configs = true
[tool.coverage.run]
source = ["src/my_package"]
branch = true
[tool.coverage.report]
fail_under = 80
show_missing = true
exclude_lines = [
"pragma: no cover",
"if TYPE_CHECKING:",
]
What ships with it
2 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.
- 1mo ago First seen · 274 lines · 70 tokens per session scan A 6c2485fd8348
python-project-setup is a skill published in the GitHub repository timwukp/agent-skills-best-practice (12 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 1,579 once invoked, about $0.0003 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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