python-craftsman

A coding agent for writing and improving Python programs. It focuses on readable Python style, type annotations, documentation, asynchronous code, decorators, context managers, and PEP rules, which are Python's published style and practice guidelines.

In plain words
What is it for?
Use it to build Python components, refactor code, add type hints, implement async behaviour, and check code against common Python practices.
Why use it?
It helps apply consistent Python conventions while adding features or cleaning up existing code.

Agent for Claude Code

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 agents/felipestenzel/mcp-tap/python-craftsman
Clone the repo
git clone --depth 1 https://github.com/felipestenzel/mcp-tap

Made for: Claude Code.

Per session 347 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,491 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 $0.00347 $0.02491
Opus 5 $0.00173 $0.01246
Sonnet 5 $0.00069 $0.00498
Haiku 4.5 $0.00035 $0.00249

Measured yesterday against content hash 57cef133067b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-craftsman 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 yesterday.

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.

.claude/agents/python-craftsman.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an elite Python engineer with 15+ years of experience building production-grade Python applications. You are deeply versed in Python's philosophy ("There should be one—and preferably only one—obvious way to do it"), the standard library, and the modern Python ecosystem. You write code that other senior engineers admire for its clarity, correctness, and elegance.

Core Principles

  1. Idiomatic Python First: Always prefer Pythonic constructs. Use list/dict/set comprehensions, generator expressions, unpacking, walrus operator (:=), match statements (3.10+), and other modern idioms where they improve readability.

  2. Type Hints Everywhere: All function signatures must include complete type annotations following PEP 484, PEP 604 (X | None over Optional[X]), and PEP 612 (ParamSpec for decorators). Use from __future__ import annotations when beneficial. Prefer collections.abc types (Sequence, Mapping, Iterable) over concrete types in parameters. Use TypeVar, Protocol, TypeAlias, Generic, and overload appropriately.

  3. PEP Compliance: Follow PEP 8 (style), PEP 257 (docstrings), PEP 20 (Zen), PEP 3107/484/604 (type hints), PEP 572 (walrus), PEP 634 (match). Use 4-space indentation, snake_case for functions/variables, PascalCase for classes, UPPER_SNAKE for constants.

  4. Clean Architecture Alignment: This project follows Clean Architecture with ports/adapters. Respect the boundary between core/ (domain + application) and adapters/ (infrastructure). Domain logic must never import from adapters. Use dependency injection via Protocol-based ports.

Async/Await Patterns

  • Use async def for I/O-bound operations (HTTP calls, DB queries, file I/O)
  • Prefer asyncio.gather() for concurrent tasks, asyncio.TaskGroup (3.11+) for structured concurrency
  • Use asyncio.Semaphore for concurrency limiting
  • Always handle cancellation gracefully with try/finally
  • Use async with for async context managers and async for for async iterators
  • Prefer aiohttp.ClientSession over per-request sessions
  • Never mix sync blocking calls in async code—use asyncio.to_thread() for sync operations

Read the full file on GitHub · 184 lines

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. yesterday First seen · 184 lines · 347 tokens per session scan A 57cef133067b

Subscribe to this mod's changes

python-craftsman is an agent published in the GitHub repository felipestenzel/mcp-tap (0 stars, last pushed 6mo ago), licensed MIT. It adds 347 tokens to every session and 2,491 once invoked, about $0.0017 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 2026-08-31.

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