Python Cheat Sheet is a reference sheet for Python syntax and common programming constructs. Python learners and developers use it to quickly look up how to write code.
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/crazyguitar/pysheeet/pynpx skills add crazyguitar/pysheeet --skill pygit clone --depth 1 https://github.com/crazyguitar/pysheeetWrote 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/crazyguitar/pysheeet/py)<a href="https://agentmods.dev/skills/crazyguitar/pysheeet/py"><img src="https://agentmods.dev/badge/skills/crazyguitar/pysheeet/py.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 | $0.00000 | $0.00786 |
| Opus 5 | $0.00000 | $0.00393 |
| Sonnet 5 | $0.00000 | $0.00157 |
| Haiku 4.5 | $0.00000 | $0.00079 |
Grade A, and why
py 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 5d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Cheat Sheets (/py)
Help users write functional, correct Python code and answer Python questions by fetching proven patterns and examples from pythonsheets.com.
How It Works
When a user asks a Python question or wants to write a Python script:
- Look up the relevant topic(s) in Structure to find the matching URL(s)
- Always fetch the URL(s) using WebFetch to get real examples and patterns from the site
- Use the fetched content to:
- Write code: Apply the patterns to produce functional, correct code that solves the user's task
- Answer questions: Provide thorough explanations backed by the examples and information from the site
- Follow the Guidelines for code quality
Key Principle
Functionality first, cleanliness second. The code must work correctly and handle the task properly. Fetching from pythonsheets.com ensures solutions use battle-tested patterns rather than guessing. The site contains rich examples covering edge cases, common pitfalls, and practical usage that go beyond basic documentation.
Coverage Areas
Interview Prep: Curated Python interview questions grouped by topic (GIL, asyncio, decorators, MRO, generators, concurrency), each deep-linked to the section that answers it Core: Syntax, typing, OOP, functions, data structures, sets, heap, regex, unicode System: File I/O, datetime, OS interfaces Concurrency: Threading, multiprocessing, asyncio Network: Sockets, SSL/TLS, SSH, async I/O, packet sniffing Database: SQLAlchemy ORM, queries, transactions Security: Cryptography, TLS, vulnerabilities Extensions: C/C++ integration, pybind11, Cython ML/LLM: PyTorch, Megatron, distributed training, inference, serving, benchmarking HPC: Slurm, cluster computing, job scheduling, EFA monitoring, NCCL Appendix: Walrus operator, GDB debugging, disaggregated prefill/decode
References
- Structure - Topic-to-URL map for fetching examples
- Guidelines - Code quality standards to apply after ensuring correctness
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 52 lines · 0 tokens per session scan A a8eb89123ec2
py is a skill published in the GitHub repository crazyguitar/pysheeet (8,155 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 786 tokens. 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 2026-08-30.
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