Skip to content
TrustedSkillsbeta
Back to all skills

Security Auditor

Checked
charon-fan·vlatest·security·MIT

Identifies potential vulnerabilities in fan configurations and access controls using Charon's data and security best practices.

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 zhaono1/agent-playbook --skill security-auditor -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

charon-fan

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 charon-fan/agent-playbook at be7a9d7d17.

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

Commit
be7a9d7d17
Manifest
skills/security-auditor/SKILL.md
Scanned
7 files, 356 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

The security-auditor skill from charon-fan/agent-playbook provides a framework for AI agents to systematically evaluate system safety and compliance. It enables automated scanning of configurations, logs, and policies to identify potential vulnerabilities or misconfigurations before they are exploited.

When to use it

  • Pre-deployment validation: Run audits on new infrastructure setups or code changes before they go live to catch errors early.
  • Compliance verification: Check if current system states adhere to internal security policies or external regulatory standards like GDPR or HIPAA.
  • Incident response analysis: Investigate recent security alerts by auditing logs and access patterns to determine the root cause of a breach.
  • Routine maintenance checks: Schedule periodic automated reviews of firewall rules, user permissions, and encryption settings to ensure ongoing protection.

Key capabilities

  • Automated discovery of security misconfigurations across various system components.
  • Generation of detailed audit reports highlighting specific risks and remediation steps.
  • Integration with existing agent playbooks to trigger immediate corrective actions upon finding critical issues.
  • Support for custom rule sets tailored to specific organizational security requirements.

Example prompts

  • "Run a full security audit on our production database cluster and summarize any high-severity findings."
  • "Audit the current IAM policies to identify users with excessive privileges that violate our least-privilege principle."
  • "Check the latest deployment logs for signs of unauthorized access attempts or failed authentication events."

Tips & gotchas

Ensure your AI agent has read-only access to the systems being audited to prevent accidental disruption during the scan. For complex environments, combine this skill with manual review steps, as automated tools may occasionally flag false positives that require human context to resolve.