Python Secure Coding

Authors and modifies Python source code with security best practices that static analysis alone does not fully cover, including input handling, deserialization, secrets, subprocess/SQL/crypto usage, SSRF, and dependency hygiene, layered on the ruff/ty quality gate. Use when writing or editing Python, and especially for changes touching user input, subprocess/OS calls, SQL or other query construction, templating, cryptography, secrets/credentials, or access control.

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npx skillmds@latest add konstruktoid/python-secure-coding