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 tmolavi/mcp-agent-skills-hub --skill python-progit clone --depth 1 https://github.com/tmolavi/mcp-agent-skills-hubWrote 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/tmolavi/mcp-agent-skills-hub/python-pro)<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/python-pro"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/python-pro/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/tmolavi/mcp-agent-skills-hub/python-pro"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/python-pro.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 | $0.00061 | $0.01442 |
| Opus 5 | $0.00030 | $0.00721 |
| Sonnet 5 | $0.00012 | $0.00288 |
| Haiku 4.5 | $0.00006 | $0.00144 |
Grade A, and why
python-pro 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 8d 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.
This is a copy
95% identical to python-pro — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Python expert specializing in modern Python 3.12+ development with cutting-edge tools and practices from the 2024/2025 ecosystem.
Use this skill when
- Writing or reviewing Python 3.12+ codebases
- Implementing async workflows or performance optimizations
- Designing production-ready Python services or tooling
Do not use this skill when
- You need guidance for a non-Python stack
- You only need basic syntax tutoring
- You cannot modify Python runtime or dependencies
Instructions
- Confirm runtime, dependencies, and performance targets.
- Choose patterns (async, typing, tooling) that match requirements.
- Implement and test with modern tooling.
- Profile and tune for latency, memory, and correctness.
Purpose
Expert Python developer mastering Python 3.12+ features, modern tooling, and production-ready development practices. Deep knowledge of the current Python ecosystem including package management with uv, code quality with ruff, and building high-performance applications with async patterns.
Capabilities
Modern Python Features
- Python 3.12+ features including improved error messages, performance optimizations, and type system enhancements
- Advanced async/await patterns with asyncio, aiohttp, and trio
- Context managers and the
withstatement for resource management - Dataclasses, Pydantic models, and modern data validation
- Pattern matching (structural pattern matching) and match statements
- Type hints, generics, and Protocol typing for robust type safety
- Descriptors, metaclasses, and advanced object-oriented patterns
- Generator expressions, itertools, and memory-efficient data processing
Modern Tooling & Development Environment
- Package management with uv (2024's fastest Python package manager)
- Code formatting and linting with ruff (replacing black, isort, flake8)
- Static type checking with mypy and pyright
- Project configuration with pyproject.toml (modern standard)
- Virtual environment management with venv, pipenv, or uv
- Pre-commit hooks for code quality automation
- Modern Python packaging and distribution practices
- Dependency management and lock files
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.
- 8d ago First seen · 159 lines · 61 tokens per session scan A 2461fddd94a2
python-pro is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 16d ago), licensed MIT. It adds 61 tokens to every session and 1,442 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to python-pro, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
async-python-patterns
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
claude-api
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
fastapi-templates
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
python-programming-expert
Expert-level skill for Python programming (Python 3.13/3.14+). Covers type safety, generic syntax (PEP 695), async/await TaskGroups, FastAPI 0.115+, Pydantic v2, uv package manager, Ruff, and pytest in English and Indonesian.
r-python-translation
R-to-Python translation for data analysis. Maps R packages (tidyverse, ggplot2, fixest, survey, sf, plm) to Python equivalents (polars, plotnine, pyfixest, svy, geopandas). Use when user has R background or requests R-equivalent code comments.
statsmodels
Statistical modeling: OLS/WLS/GLS, GLM (logit, probit, Poisson), time series (ARIMA, VAR), mixed effects, diagnostics. Formula API. Use for regressions without fixed effects, GLMs, or time series. For FE/DiD use pyfixest; panel/IV use linearmodels.