Python Best Practices Type Safety
CheckedHelps with Python, best practices as part of developing backend services and APIs workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add dawiddutoit/custom-claude --skill python-best-practices-type-safety -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
dawiddutoit
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned dawiddutoit/custom-claude at 17b45a90a6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 17b45a90a6
- Scanned
- 5 files, 2,227 lines
About this skill
What it does
This skill leverages Python's type hinting and static analysis tools to improve code quality, reduce errors, and enhance maintainability. It helps ensure that functions receive the expected data types, catches potential issues early in development, and makes code easier to understand for other developers. The skill aims to enforce best practices for writing robust and reliable Python applications.
When to use it
- Refactoring Legacy Code: Improve the type safety of older Python projects lacking comprehensive type annotations.
- Developing New APIs: Ensure new API endpoints are well-typed, preventing unexpected data issues.
- Collaborative Projects: Enforce consistent coding standards and reduce integration errors within a team.
- Automated Testing: Integrate with testing frameworks to automatically check for type violations during the development cycle.
Key capabilities
- Type Hinting Enforcement
- Static Analysis
- Code Quality Improvement
- Error Reduction
Example prompts
- "Analyze this Python code snippet and identify any potential type errors: [code]"
- "Add type hints to this function signature: [function definition]"
- "Refactor this code block to improve its type safety."
Tips & gotchas
This skill requires a basic understanding of Python syntax and type hinting. Ensure your environment has the necessary dependencies (e.g., mypy, pylint) installed for optimal performance.