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.
git clone --depth 1 https://github.com/python-developer-tooling-handbook/claude-pluginsWrote 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/plugins/python-developer-tooling-handbook/claude-plugins/new-python-project)<a href="https://agentmods.dev/plugins/python-developer-tooling-handbook/claude-plugins/new-python-project"><img src="https://agentmods.dev/badge/plugins/python-developer-tooling-handbook/claude-plugins/new-python-project/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/plugins/python-developer-tooling-handbook/claude-plugins/new-python-project"><img src="https://agentmods.dev/badge/plugins/python-developer-tooling-handbook/claude-plugins/new-python-project.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
new-python-project 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.
What it actually says
{
"name": "new-python-project",
"description": "Set up Python projects with modern tooling (uv, pytest, ruff, pre-commit)",
"version": "1.0.0",
"author": {
"name": "Tim Hopper"
},
"license": "MIT"
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 26 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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 · 10 lines scan A a0e898bd1684
new-python-project is a plugin published in the GitHub repository python-developer-tooling-handbook/claude-plugins (7 stars, last pushed 5mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
Other plugins, from other repositories
python-project
CLAUDE.md template for Python projects using uv, pytest, ruff, and mypy.
python-lsp
Claude Code plugin for Python development with Pyright LSP integration, 15 automated hooks for type checking, linting (ruff), formatting (black), testing (pytest), and security scanning.
pytest-best-practices
pytest async-first testing best practices — test layer structure, fixture design, async testing with pytest-asyncio, test data with factoryboy + faker, HTTP mocking with respx, time mocking with freezegun, property-based testing with hypothesis, DB transaction-rollback isolation, flush() pattern for chained fixtures.
ginkgo
Write, run, and debug Ginkgo/Gomega test suites in Go. Skills for the tree-construction mental model, spec authoring and cleanup, tables and generated specs, the full decorator reference, filtering, parallelism, ordered/flaky specs, timeouts and async, the CLI and CI configuration, reporting, and JSON-first failure…
python-development
Python development toolkit: pytest techniques with canonical testing authoring, code refactoring with complexity metrics, performance profiling, async patterns, uv package management, dead code detection, comment auditing, project scaffolding, deep Pydantic v2.13 guide…
humanizer
Rewrite AI-sounding text so it reads like the writer without changing what it says.