python

python is a skill for Claude Code, Codex from pproenca/dot-skills. It costs 62 tokens per session (2,290 once invoked), scanned A, original, MIT.

A set of performance guidelines for Python 3.11 and newer, covering how programs handle input and output, data, memory, concurrency, loops, strings, and function calls. Python is a programming language commonly used for web services, scripts, and data work.

In plain words
What is it for?
Use it when creating, reviewing, or refactoring Python code involving asynchronous work, data structures, memory use, parallel tasks, loops, strings, or common Python idioms.
Why use it?
It helps identify code that uses more time or memory than necessary, especially in data-heavy or concurrent programs. The advice gives agents consistent patterns to follow when writing or changing Python code.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when creating, reviewing, or refactoring Python code involving asynchronous work, data structures, memory use, parallel tasks, loops, strings, or common Python idioms.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pproenca/dot-skills/python
Install

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.

Any agent
npx skills add pproenca/dot-skills --skill python
Clone the repo
git clone --depth 1 https://github.com/pproenca/dot-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for python

README.md
[![agentmods](https://agentmods.dev/badge/skills/pproenca/dot-skills/python/github.svg)](https://agentmods.dev/skills/pproenca/dot-skills/python)
Your own site
<a href="https://agentmods.dev/skills/pproenca/dot-skills/python"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/python/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.

agentmods 80×15 button for python

Your own site · 80×15
<a href="https://agentmods.dev/skills/pproenca/dot-skills/python"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,290 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.02290
Opus 5.5 $0.00025 $0.00916
Sonnet 5.5 $0.00012 $0.00458
Haiku 4.5 $0.00006 $0.00229

Measured 1mo ago against content hash 3edd3aec6633, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

python 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.

skills/.curated/python/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python 3.11 Best Practices

Comprehensive performance optimization guide for Python 3.11+ applications. Contains 42 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

When to Apply

Reference these guidelines when:

  • Writing new Python async I/O code
  • Choosing data structures for collections
  • Optimizing memory usage in data-intensive applications
  • Implementing concurrent or parallel processing
  • Reviewing Python code for performance issues

Rule Categories by Priority

Priority Category Impact Prefix
1 I/O & Async Patterns CRITICAL io-
2 Data Structure Selection CRITICAL ds-
3 Memory Optimization HIGH mem-
4 Concurrency & Parallelism HIGH conc-
5 Loop & Iteration MEDIUM loop-
6 String Operations MEDIUM str-
7 Function & Call Overhead LOW-MEDIUM func-
8 Python Idioms & Micro LOW py-

Table of Contents

  1. I/O & Async Patterns — CRITICAL

  2. Data Structure Selection — CRITICAL

Read the full file on GitHub · 104 lines

Files

What ships with it

46 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.

Changes

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.

  1. 1mo ago First seen · 104 lines · 62 tokens per session scan A 3edd3aec6633

Subscribe to this mod's changes

python is a skill published in the GitHub repository pproenca/dot-skills (215 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 2,290 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

pennylane

Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins. For hardware-specific compilation use qiskit or cirq; for…

K-Dense-AI/scientific-agent-skills · 74 tokens

rocm-kernels

Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline…

huggingface/kernels · 93 tokens

holoscan-install-wheel

Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.

NVIDIA/skills · 37 tokens

typing-exclusion-worker

Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.

getsentry/skills · 57 tokens

python

Python development with ruff, mypy, pytest - TDD and type safety.

alinaqi/maggy · 18 tokens