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Python

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testdino-hq·vlatest·backend·MIT

Automates Python backend testing via Test Dino HQ, generating tests and verifying functionality against specifications.

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 testdino-hq/google-styleguides-skills --skill python --full-depth -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

testdino-hq

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 testdino-hq/google-styleguides-skills at 8674a2a218.

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

Commit
8674a2a218
Manifest
python/SKILL.md
Scanned
2 files, 308 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

What it does

This skill provides Python code formatting and linting based on Google's style guides. It automatically reformats Python code to adhere to PEP 8 and Google’s specific conventions, ensuring consistency and readability. The skill can also identify potential errors and stylistic issues within the code.

When to use it

  • Code Formatting: Automatically format a block of Python code to conform to Google's style guide.
  • Code Review: Identify deviations from Google’s coding standards in existing Python files.
  • Project Standardization: Enforce consistent coding styles across a team or project using Google’s guidelines.
  • Learning & Improvement: Help developers learn and apply Google’s Python style conventions.

Key capabilities

  • PEP 8 compliance
  • Google-specific formatting rules
  • Code linting for stylistic issues
  • Automatic code reformatting

Example prompts

  • "Format this Python code according to Google's style guide: [paste code here]"
  • "Check this file for PEP 8 and Google style violations: [file path]"
  • "Reformat the following Python script: [paste code here]"

Tips & gotchas

The skill requires a working Python environment with necessary dependencies (e.g., black, pylint). Be aware that strict adherence to Google's style guide might require adjustments to existing coding practices.