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Bandit_Pip_Audit

Checked
davidcastagnetoa·vlatest·security

Analyzes PIP data to identify potential risks & inefficiencies using bandit algorithms, optimizing pipeline performance.

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 davidcastagnetoa/skills --skill bandit_pip_audit -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

davidcastagnetoa

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 davidcastagnetoa/skills at bd906f22af.

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

Commit
bd906f22af
Manifest
skills/bandit_pip_audit/SKILL.md
Scanned
1 file, 36 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, bandit_pip_audit, allows an AI agent to identify and report on potential security vulnerabilities in Python project dependencies. It leverages the bandit tool to scan a specified requirements.txt file or a directory containing Python code. The agent can then summarize these findings, helping users understand and mitigate risks associated with outdated or vulnerable packages.

When to use it

  • Security Audits: Regularly check your project's dependencies for known vulnerabilities before deployment.
  • New Project Setup: Ensure a clean bill of health when starting a new Python project.
  • Dependency Updates: Verify that updates to existing packages haven’t introduced new security issues.
  • Compliance Checks: Satisfy requirements for secure coding practices and dependency management.

Key capabilities

  • Scans requirements.txt files.
  • Scans directories containing Python code.
  • Identifies potential vulnerabilities using the bandit tool.
  • Summarizes scan results.

Example prompts

  • "Audit the security of my project's dependencies in requirements.txt."
  • "Run a bandit audit on the 'my_project' directory and report any findings."
  • "Check for vulnerabilities in the Python packages listed in requirements.txt, focusing on high-severity issues."

Tips & gotchas

  • Requires the bandit tool to be installed within the environment where the agent is operating. Ensure it’s available before running the skill.