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Python Expert Best Practices Code Review

Checked
wispbit-ai·vlatest·backend

Helps with Python, best practices, code review as part of developing backend services and APIs workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wispbit-ai/skills --skill python-expert-best-practices-code-review -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wispbit-ai

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 wispbit-ai/skills at 8b2c7d0cec.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
8b2c7d0cec
Manifest
skills/python-expert-best-practices-code-review/SKILL.md
Scanned
9 files, 446 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The python-expert-best-practices-code-review skill enables AI agents to perform rigorous code audits on Python projects. It identifies security vulnerabilities, enforces style consistency, and suggests architectural improvements based on industry standards like PEP 8.

When to use it

  • Before merging pull requests in a team environment to ensure uniform coding standards.
  • During the initial setup of a new repository to establish secure and maintainable foundations.
  • When refactoring legacy codebases to modernize patterns and reduce technical debt.
  • To validate third-party contributions against specific project guidelines before integration.

Key capabilities

  • Detects common security flaws such as SQL injection risks or unsafe deserialization.
  • Enforces PEP 8 compliance regarding indentation, variable naming, and line length.
  • Analyzes dependency usage to flag outdated or vulnerable packages.
  • Recommends refactoring opportunities to improve readability and performance.

Example prompts

  • "Review this Python module for security vulnerabilities and suggest fixes."
  • "Analyze the following code snippet against PEP 8 standards and list all violations."
  • "Audit this project structure for best practices and recommend architectural improvements."

Tips & gotchas

Ensure the AI agent has access to the full context of the codebase, as isolated snippets may miss broader security implications. While the skill highlights issues, always verify critical changes manually before deploying to production.