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Security Audit

Listed
sickn33·vlatest·security·MIT

Helps with security, auditing as part of implementing security and authentication 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 sickn33/agentic-awesome-skills --skill security-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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/security-audit/SKILL.md
Scanned
0 files
Copies in repo
3 — 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

The security-audit skill enables AI agents to systematically review system configurations, codebases, and deployment pipelines for vulnerabilities. It identifies misconfigurations, outdated dependencies, and potential attack vectors without requiring manual inspection of every line of code.

When to use it

  • Before deploying new infrastructure or microservices to production environments.
  • During pre-commit workflows to catch security flaws early in the development cycle.
  • When analyzing third-party libraries or open-source dependencies for known CVEs.
  • As part of a regular compliance check against industry standards like OWASP Top 10.

Key capabilities

  • Scans configuration files (e.g., Docker, Kubernetes, AWS) for insecure settings.
  • Detects hardcoded secrets, API keys, and sensitive data exposure in code.
  • Identifies outdated software packages with known security vulnerabilities.
  • Generates prioritized remediation steps based on risk severity.

Example prompts

  • "Run a full security audit on my Docker Compose setup and list any exposed ports or missing network policies."
  • "Scan this Python repository for hardcoded credentials and suggest how to use environment variables instead."
  • "Check if my Node.js project is using outdated dependencies with known CVEs and provide upgrade recommendations."

Tips & gotchas

Ensure the AI agent has read access to all relevant files and secrets management systems before initiating an audit. While powerful, automated scans may produce false positives; always validate findings manually before applying fixes in production.