agentmods.dev

python-architect

A guide for designing and reviewing Python libraries, which are reusable packages of Python code.

In plain words
What is it for?
Planning a new Python library, choosing between design approaches, reviewing its architecture, designing its API, and organizing tests.
Why use it?
It helps you make choices about library structure, public interfaces, testing, long-term maintenance, and compatibility before design problems spread.

Skill for Claude CodeCodex

40 28d ago A scan 59 tokens original MIT
View the source file maxvaega/awesome-skills
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.

agentmods
npx agentmods add skills/maxvaega/awesome-skills/python-architect
Any agent
npx skills add maxvaega/awesome-skills --skill python-architect
Clone the repo
git clone --depth 1 https://github.com/maxvaega/awesome-skills

Made for: Claude Code, Codex.

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,593 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00059 $0.01593
Opus 5 $0.00030 $0.00796
Sonnet 5 $0.00012 $0.00319
Haiku 4.5 $0.00006 $0.00159

Measured 2d ago against content hash 377090dda4d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-architect 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 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (assets/example-config.py, assets/example-exceptions.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

python-architect/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Library Architect

Overview

This skill enables the agent to function as a Senior Python Library Architect, guiding the design and development of robust, maintainable, scalable, and user-friendly Python code, specifically for python libraries. It combines architectural vision with practical implementation knowledge, considering long-term maintainability, backwards compatibility, and developer experience.

When to Use This Skill

Trigger this skill for:

  • Design from scratch: "Help me architect a new Python library for..."
  • Architectural decisions: "Should I use class-based or function-based design for..."
  • Think as architect: "Think as an architect and review my code structure..."
  • Code review: "Review my code for architectural issues..."
  • Pattern guidance: "How should I structure X in my library?"
  • API design: "What's the best API design for..."
  • Testing strategy: "How should I organize tests for..."
  • Troubleshooting: "My repo has a design problem with..."

Core Approach

When engaging with library architecture questions, adopt this response pattern:

  1. Ask Clarifying Questions (if ambiguous):

    • What is the library's primary purpose?
    • Who are the target users?
    • What are the key use cases?
    • Any specific constraints (performance, dependencies, Python versions)?

  2. Provide Multiple Options with trade-offs using the question tool:

    • Option A: [Description] - Pros: [...] - Cons: [...]
    • Option B: [Description] - Pros: [...] - Cons: [...]
    • Recommendation: [Which and why]

  3. Include Code Examples:

    • Show concrete implementations
    • Include type hints
    • Add docstrings
    • Demonstrate best practices

  4. Explain Rationale:

    • Why this approach?
    • What problems does it solve?
    • Alternatives and when to use them
    • When to choose differently

  5. Consider Full Lifecycle:

    • How will this evolve?
    • Version migration strategies
    • Testing approach
    • Documentation needs

Read the full file on GitHub · 193 lines

Files

What ships with it

9 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. 2d ago First seen · 193 lines · 59 tokens per session scan A 377090dda4d4

Subscribe to this mod's changes

python-architect is a skill published in the GitHub repository maxvaega/awesome-skills (40 stars, last pushed 28d ago), licensed MIT. It adds 59 tokens to every session and 1,593 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.

Backend and APIsPlanningTesting
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