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 CHENyiru3/AI-Skills-Collections --skill packaginggit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote 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/chenyiru3/ai-skills-collections/packaging)<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/packaging"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/packaging/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/chenyiru3/ai-skills-collections/packaging"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/packaging.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 | $0.00079 | $0.00900 |
| Opus 5.5 | $0.00032 | $0.00360 |
| Sonnet 5.5 | $0.00016 | $0.00180 |
| Haiku 4.5 | $0.00008 | $0.00090 |
Grade A, and why
packaging-python-libraries 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 6d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Library Packaging
pyproject.toml Essentials
[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "my-package"
version = "1.0.0"
description = "Short description"
readme = "README.md"
requires-python = ">=3.10"
license = {text = "MIT"}
dependencies = []
[project.optional-dependencies]
dev = ["pytest>=7.0", "ruff>=0.1", "mypy>=1.0"]
[project.urls]
Homepage = "https://github.com/user/package"
Documentation = "https://package.readthedocs.io"
[project.scripts]
mycli = "my_package.cli:main"
[tool.setuptools.packages.find]
where = ["src"]
Building
pip install build
python -m build # Creates dist/
twine check dist/* # Validate
Publishing to PyPI
First time setup:
# Create API token at pypi.org/manage/account/token/
export TWINE_USERNAME=__token__
export TWINE_PASSWORD=pypi-xxx...
Publish:
twine upload --repository testpypi dist/* # Test first
twine upload dist/* # Production
GitHub Actions (Trusted Publishing)
# .github/workflows/publish.yml
on:
release:
types: [published]
jobs:
publish:
runs-on: ubuntu-latest
permissions:
id-token: write
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
- run: pip install build && python -m build
- uses: pypa/gh-action-pypi-publish@release/v1
Dependency Best Practices
# DO: Minimum versions
dependencies = ["requests>=2.28", "click>=8.0"]
# DON'T: Exact pins (locks users)
dependencies = ["requests==2.28.1"]
# DO: Optional for features
[project.optional-dependencies]
cli = ["click>=8.0"]
Including Package Data
[tool.setuptools.package-data]
my_package = ["py.typed", "data/*.json"]
from importlib.resources import files
data = files("my_package.data").joinpath("file.json").read_text()
For detailed templates, see:
- PYPROJECT_FULL.md - Complete pyproject.toml
- CONDA.md - Conda packaging guide
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.
- 6d ago First seen · 134 lines · 79 tokens per session scan A 52a0b207f470
packaging-python-libraries is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 79 tokens to every session and 900 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 2026-10-02.
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