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Python Backend Reviewer

Checked
qredence·vlatest·backend·MIT

Helps with Python, backend development 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 qredence/agentic-fleet --skill python-backend-reviewer -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

qredence

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 qredence/agentic-fleet at 46a254b197.

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

Commit
46a254b197
Manifest
.claude/skills/python-backend-reviewer/SKILL.md
Scanned
16 files, 5,687 lines
Copies in repo
2 — all of them scanned
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

The python-backend-reviewer skill analyzes Python backend code, identifying potential issues and suggesting improvements. It can check for common errors like syntax problems, style violations (following PEP 8), and security vulnerabilities. This skill aims to improve code quality and reduce technical debt within a project.

When to use it

  • Automated Code Review: Integrate into your CI/CD pipeline to automatically review Python backend code changes before merging.
  • Pre-Commit Checks: Run the reviewer locally as part of a pre-commit hook to catch issues early in development.
  • Refactoring Assistance: Use it to identify areas for improvement during refactoring efforts.
  • Onboarding New Developers: Help new team members adhere to coding standards by automatically checking their contributions.

Key capabilities

  • PEP 8 style guide compliance checks
  • Syntax error detection
  • Security vulnerability identification (limited scope)

Example prompts

  • "Review this Python code for PEP 8 violations: [code snippet]"
  • "Analyze the following code and suggest improvements: [code snippet]"
  • "Check this file for syntax errors and potential security vulnerabilities: /path/to/file.py"

Tips & gotchas

The skill's security vulnerability detection is limited; it should be used in conjunction with more comprehensive security scanning tools. Ensure the AI agent has access to the relevant code files or repositories.