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 HappyMonkeyAI/AgentsProtocol --skill python-progit clone --depth 1 https://github.com/HappyMonkeyAI/AgentsProtocolWrote 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/happymonkeyai/agentsprotocol/python-pro)<a href="https://agentmods.dev/skills/happymonkeyai/agentsprotocol/python-pro"><img src="https://agentmods.dev/badge/skills/happymonkeyai/agentsprotocol/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/happymonkeyai/agentsprotocol/python-pro"><img src="https://agentmods.dev/badge/skills/happymonkeyai/agentsprotocol/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 5.5 | $0.00024 | $0.00577 |
| Sonnet 5.5 | $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 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.
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.
- 1mo ago First seen · 159 lines · 61 tokens per session scan A 2461fddd94a2
python-pro is a skill published in the GitHub repository HappyMonkeyAI/AgentsProtocol (5 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 1,442 once invoked, about $0.0002 per session on Opus 5.5. 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.
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