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Security Audit Logging

Checked
aj-geddes·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 aj-geddes/useful-ai-prompts --skill security-audit-logging -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/security-audit-logging/SKILL.md
Scanned
5 files, 645 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-audit-logging skill enables AI agents to automatically generate comprehensive audit logs for system activities, ensuring compliance with security standards and facilitating forensic analysis of past events. It structures raw operational data into readable, timestamped entries that highlight user actions, permission changes, and critical system modifications.

When to use it

  • Implementing regulatory compliance requirements such as GDPR, HIPAA, or SOC 2 that mandate detailed activity tracking.
  • Conducting post-incident investigations to trace the sequence of events following a potential security breach.
  • Monitoring sensitive environments like financial databases or healthcare records for unauthorized access attempts.
  • Establishing a baseline of normal system behavior to detect anomalies and suspicious patterns early.

Key capabilities

  • Automatic generation of structured audit logs from diverse system events.
  • Timestamping of all recorded actions for precise chronological tracking.
  • Categorization of entries by user, action type, and affected resources.
  • Support for both real-time logging and historical data retrieval.

Example prompts

  • "Generate an audit log entry for a user changing their password at 14:30 UTC."
  • "Create a summary of all permission modifications made to the database in the last hour."
  • "Format these raw system events into a standardized security audit report."

Tips & gotchas

Ensure your AI agent has read-only access to system metadata to prevent accidental data alteration during logging. Always validate that log retention policies align with your organization's legal obligations before deploying automated logging at scale.