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/fprochazka/claude-code-plugins/migrate-to-uvnpx skills add fprochazka/claude-code-plugins --skill migrate-to-uvgit clone --depth 1 https://github.com/fprochazka/claude-code-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/skills/fprochazka/claude-code-plugins/migrate-to-uv)<a href="https://agentmods.dev/skills/fprochazka/claude-code-plugins/migrate-to-uv"><img src="https://agentmods.dev/badge/skills/fprochazka/claude-code-plugins/migrate-to-uv.svg" alt="Measured on agentmods" 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 | $0.00124 | $0.03413 |
| Opus 5 | $0.00062 | $0.01707 |
| Sonnet 5 | $0.00025 | $0.00683 |
| Haiku 4.5 | $0.00012 | $0.00341 |
Grade C, and why
migrate-to-uv scanned grade C with 1 finding 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 4d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf .venv How it starts
The opening of the file, as written. The whole thing — 455 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Migrate to uv
Convert Python projects from Poetry/pipx/pip to uv.
Pre-Migration Assessment
IMPORTANT: Before starting any migration, assess the project for blockers. Read pyproject.toml, setup.py (if present), and the build configuration to check for the following. Report findings to the user before proceeding.
Check 1: C/C++/Rust Extensions
Look for signs of compiled extensions:
setup.pywithext_modules,cffi,cython, orExtension()calls- Build dependencies like
setuptools,cffi,cython,pybind11,maturin,scikit-build-core .c,.cpp,.pyx, or.rssource files referenced in the build
If found: uv_build does NOT support compiling C/C++/Rust extensions. The project must use a compatible build backend (setuptools, scikit-build-core, maturin, or hatchling with extension plugins). This is a non-trivial change — warn the user that the build backend swap may require significant effort and testing, especially for projects with complex setup.py logic.
Check 2: Private Package Indexes
Look for [[tool.poetry.source]] sections or references to private PyPI mirrors.
If found: uv handles authentication differently from Poetry. Poetry uses poetry config http-basic.<name> <user> <pass>, while uv uses environment variables:
UV_INDEX_<NAME>_USERNAME/UV_INDEX_<NAME>_PASSWORD- Or
UV_INDEX_URLwith credentials embedded - Or keyring integration
The migration tool won't convert auth config. The user needs to set up credentials separately for CI and local dev. See the "Private indexes" section below for format conversion.
Check 3: Monorepo / Multiple pyproject.toml Files
Look for multiple pyproject.toml files, path dependencies between packages, or Poetry monorepo plugins (poetry-plugin-monorepo, monoranger).
If found: This is actually a good candidate for migration — uv workspaces handle monorepos much better than Poetry. But the migration is more involved than a single-package project. See the "Monorepo / Workspace Migration" section below.
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.
- 4d ago First seen · 455 lines · 124 tokens per session scan C b912704e7a1c
migrate-to-uv is a skill published in the GitHub repository fprochazka/claude-code-plugins (11 stars, last pushed today), licensed MIT. It adds 124 tokens to every session and 3,413 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…