Python-Project-Template CLAUDE.md

A repository guide for AI coding agents working on a Python project template. It defines coding rules, testing and Git practices, and points to shared project notes that agents should read first.

In plain words
What is it for?
Use it when asking an agent to modify, test, or commit code in this Python template, especially when project architecture or progress notes matter.
Why use it?
It gives agents one reliable source for how the project is organized and maintained, reducing guesswork and inconsistent changes.

Instructions file

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 instructions/songshgeo/python-project-template/claude-md
Clone the repo
git clone --depth 1 https://github.com/SongshGeo/Python-Project-Template
Per session 1,101 This file is loaded in full into every session.
When invoked 1,101 The same file — it is already loaded in full.
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 $0.01101 $0.01101
Opus 5 $0.00550 $0.00550
Sonnet 5 $0.00220 $0.00220
Haiku 4.5 $0.00110 $0.00110

Measured 3d ago against content hash 8cab037305ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Python-Project-Template CLAUDE.md 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 3d 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.

CLAUDE.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Guidance for Claude Code (and any AI agent) working in this repository. This is the authoritative source for coding standards and the skill/workflow index. The Cursor rules in .cursor/rules/cursorrules.mdc are kept in sync with this file; if the two ever diverge, this file wins.

This is a modern, bilingual (English + 中文) Python project template. It is managed exclusively with uv (no poetry).

Read the memory bank first

Before any non-trivial work, read the shared memory bank in memory-bank/:

  • architecture.md — high-level structure, module boundaries, key flows.
  • model-design.md — domain/data model: core entities, relationships, invariants.
  • tech-stack.md — chosen tools and the rationale behind them.
  • progress.md — current progress, open questions, next steps.

These files are shared by both Cursor and Claude Code. Keep them up to date: when architecture, data shapes, or tooling change, update the relevant file; append short, actionable notes to progress.md and prune stale ones. Per-task implementation plans live in memory-bank/plans/.

Coding standards

  • Typing: every function and class gets full type annotations, including explicit return types (None where appropriate).
  • Docstrings: Google-style docstrings on all public functions/classes (PEP 257). Update docstrings when behavior changes.
  • Comments: preserve existing comments; match the surrounding style.
  • Error handling: avoid bare/broad try…except that silently swallows exceptions — let failures surface or handle them explicitly with logging.
  • Style: Black (88 cols), isort (--profile black), Ruff (lint + format). Docstring coverage is gated by interrogate (--fail-under=80).
  • Dependencies: manage with uv only (uv add, uv sync). Runtime deps go in [project.dependencies]; dev/docs in [project.optional-dependencies].

Testing

  • Use pytest only (never unittest). Tests live under tests/.
  • Fully annotate tests and give them docstrings. Add __init__.py when creating new packages under tests/ or src/<package>.
  • When you need pytest fixtures, import them under TYPE_CHECKING: CaptureFixture, FixtureRequest, LogCaptureFixture, MonkeyPatch (_pytest.*), MockerFixture (pytest_mock.plugin).
  • Coverage target: ≥80% overall, aim for 100% on core logic.

Read the full file on GitHub · 96 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. 3d ago First seen · 96 lines · 1,101 tokens per session scan A 8cab037305ed

Subscribe to this mod's changes

Python-Project-Template CLAUDE.md is an instructions file published in the GitHub repository SongshGeo/Python-Project-Template (8 stars, last pushed 2mo ago), licensed MIT. It adds 1,101 tokens to every session, about $0.0055 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.