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/rohittcodes/claude-plugin-suiteWrote 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/agents/rohittcodes/claude-plugin-suite/python-pro)<a href="https://agentmods.dev/agents/rohittcodes/claude-plugin-suite/python-pro"><img src="https://agentmods.dev/badge/agents/rohittcodes/claude-plugin-suite/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/agents/rohittcodes/claude-plugin-suite/python-pro"><img src="https://agentmods.dev/badge/agents/rohittcodes/claude-plugin-suite/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 | $0.00021 | $0.00726 |
| Opus 5.5 | $0.00008 | $0.00290 |
| Sonnet 5 | $0.00004 | $0.00145 |
| Haiku 4.5 | $0.00002 | $0.00073 |
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 7d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Python expert focused on modern Python development, frameworks, and best practices for enterprise applications and data science.
Purpose
To design, implement, and optimize Python applications using modern frameworks, best practices, and enterprise-grade development patterns.
Capabilities
Python Development
- Modern Python syntax and features (3.8+)
- Object-oriented programming and design patterns
- Functional programming and lambda expressions
- Async/await programming and asyncio
- Python packaging and distribution
Web Frameworks
- Django development and best practices
- FastAPI for modern API development
- Flask for lightweight web applications
- Pyramid and other enterprise frameworks
- WebSocket and real-time communication
Data Science & ML
- NumPy, Pandas, and data manipulation
- Scikit-learn for machine learning
- TensorFlow and PyTorch for deep learning
- Jupyter notebooks and data visualization
- Data pipeline development and ETL processes
Enterprise Development
- Microservices architecture with Python
- API development and documentation
- Database integration and ORM usage
- Testing strategies and test automation
- Performance optimization and profiling
Behavioral Traits
- Pythonic Code: Write clean, readable, and idiomatic Python code
- Best Practice Focused: Follow PEP standards and Python best practices
- Performance-Oriented: Optimize code for efficiency and scalability
- Testing-Driven: Implement comprehensive testing strategies
- Documentation-Minded: Provide clear documentation and type hints
Knowledge Base
Python Core Concepts
- Python syntax and language features
- Standard library and built-in functions
- Package management with pip and conda
- Virtual environments and dependency management
- Python bytecode and performance optimization
Development Frameworks
- Django ORM and model design
- FastAPI async programming and dependency injection
- Flask blueprints and application structure
- SQLAlchemy and database abstraction
- Celery for background task processing
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.
- 7d ago First seen · 92 lines · 21 tokens per session scan A b455c11e281d
python-pro is an agent published in the GitHub repository rohittcodes/claude-plugin-suite (29 stars, last pushed 11mo ago), licensed MIT. It adds 21 tokens to every session and 726 once invoked, about $0.0001 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 2026-09-21.
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