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/readable-pynpx skills add crazyguitar/pysheeet --skill readable-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/readable-py)<a href="https://agentmods.dev/skills/crazyguitar/pysheeet/readable-py"><img src="https://agentmods.dev/badge/skills/crazyguitar/pysheeet/readable-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 | $0.00051 | $0.02335 |
| Opus 5 | $0.00026 | $0.01167 |
| Sonnet 5 | $0.00010 | $0.00467 |
| Haiku 4.5 | $0.00005 | $0.00233 |
Grade A, and why
readable-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 — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Readable Python Rules (/readable-py)
Apply these rules when writing, reviewing, or refactoring Python code. Inspired by The Art of Readable Code by Dustin Boswell and Trevor Foucher.
Core principle: Code should be easy to understand. The time it takes someone else (or future you) to understand the code is the ultimate metric.
1. Keep Functions Short and Focused
- A function should do one thing. If you can describe what it does with "and", split it.
- Aim for functions that fit on one screen (~15-25 lines). If it's longer, extract sub-tasks.
- Each function should operate at a single level of abstraction — don't mix high-level logic with low-level details in the same function.
2. Flatten Control Flow — No Deep Nesting
- Never nest more than 2 levels deep. If you have a loop inside a loop, or an
ifinside a loop inside anif, extract the inner block into a helper function with a descriptive name. - Use early returns / guard clauses to handle edge cases at the top, keeping the main logic flat.
- Prefer
continueorbreakto skip iterations rather than wrapping the body in a conditional. - Replace complex conditionals with well-named helper functions or variables that explain the intent.
# Bad: nested and hard to follow
for user in users:
if user.is_active:
for order in user.orders:
if order.is_pending:
process(order)
# Good: flat, each function name explains what it does
active_users = get_active_users(users)
for user in active_users:
process_pending_orders(user.orders)
3. Name Things Clearly
- Pack information into names. Use specific, concrete words —
fetch_pagenotget,num_retriesnotn. - Avoid generic names like
tmp,data,result,val,info,handle— unless the scope is tiny (2-3 lines). - Use names that can't be misconstrued. If a range is inclusive, say
max_itemsnotlimit. If a boolean, useis_,has_,should_,can_prefixes. - Match the name length to the scope. Short names for small scopes, descriptive names for wide scopes.
- Don't use abbreviations unless they're universally understood (
num,max,min,errare fine;svc_mgr_cfgis not).
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 · 214 lines · 51 tokens per session scan A bbe1f14e32d6
readable-py is a skill published in the GitHub repository crazyguitar/pysheeet (8,155 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 2,335 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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