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Auditing Python Security

Checked
wdm0006·vlatest·backend·MIT

Helps with Python, security 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 wdm0006/python-skills --skill auditing-python-security -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

wdm0006

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 wdm0006/python-skills at 954796b7fc.

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

Commit
954796b7fc
Manifest
skills/python/security-audit/SKILL.md
Scanned
4 files, 796 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 analyzes Python code for common security vulnerabilities. It identifies potential issues like SQL injection, cross-site scripting (XSS), and insecure deserialization. The tool provides actionable recommendations to improve the overall security posture of Python applications by flagging risky code patterns.

When to use it

  • Code Review: Integrate into your development workflow to automatically scan new or modified Python code for vulnerabilities before deployment.
  • Security Audits: Perform a comprehensive security assessment of existing Python projects, especially those handling sensitive data.
  • Penetration Testing Preparation: Identify and remediate potential weaknesses prior to penetration testing engagements.
  • Compliance Checks: Ensure your Python applications adhere to specific security standards or regulations.

Key capabilities

  • Vulnerability scanning for SQL injection
  • Detection of cross-site scripting (XSS) risks
  • Identification of insecure deserialization patterns
  • Provides actionable remediation recommendations

Example prompts

  • "Analyze this Python code snippet for potential vulnerabilities: [code snippet]"
  • "Perform a security audit on the user_authentication.py file."
  • "Check this script for SQL injection risks: [script content]"

Tips & gotchas

The accuracy of the analysis depends heavily on the quality and complexity of the Python code provided. It's recommended to provide complete files or modules rather than isolated snippets for a more thorough assessment.