بنقرة واحدة
python-style
Python code style, typing, and project conventions.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Python code style, typing, and project conventions.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Pull request review checklist for the team.
Project-wide security rules for handling untrusted input, secrets, and database access.
Database safety rules for the data-access layer.
Testing conventions for the project — pytest, fixtures, integration vs unit.
| name | python-style |
| description | Python code style, typing, and project conventions. |
Use type hints in all function signatures, including return types. Prefer concrete types over Any; reach for Protocol when you really need duck typing. Run mypy or pyright in CI.
Use dataclasses for simple data containers; reach for Pydantic when you need runtime validation at a system boundary. Do not use Pydantic internally where dataclasses suffice — the validation cost is real.
Sort imports with isort/ruff. One module per import line. Group: stdlib, third-party, first-party, separated by blank lines.
Always use parameterized queries for every database access. Never concatenate user-provided strings into SQL statements directly. This includes dynamic WHERE clauses, ORDER BY clauses, and table names.
Never log secrets, personally identifiable information, or full request or response bodies. Scrub sensitive fields at the logging boundary using a structured logger.
Treat any data that crossed a network or process boundary as untrusted until proven otherwise. Apply the same scrutiny to data from other internal services as you would to data from the public internet. The threat model assumes lateral movement; act accordingly across every service-to-service hop in the system.