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Logging Best Practices

Checked
aj-geddes·vlatest·testing·MIT

Ensures consistent, informative, and actionable logging following aj-geddes's established best practices for debugging and monitoring.

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 logging-best-practices -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/logging-best-practices/SKILL.md
Scanned
11 files, 844 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 equips AI agents with a structured approach to logging, ensuring consistent output formats and detailed error reporting. It enables agents to systematically record interactions and diagnose issues by providing clear instructions on how to handle and present log data effectively.

When to use it

  • Debugging complex workflows: When an agent encounters unexpected behavior or fails to complete a multi-step task.
  • Audit trails: When you need to track the decision-making process or specific actions taken during a session.
  • Error analysis: When troubleshooting specific failures to identify root causes based on system responses.
  • Performance monitoring: When evaluating how an agent handles high-volume data processing or repetitive operations.

Key capabilities

  • Enforces consistent log formatting for easier parsing and reading.
  • Generates detailed error messages that include context and potential solutions.
  • Structures interaction history to highlight critical events and outcomes.
  • Facilitates the creation of reproducible logs for technical support or analysis.

Example prompts

  • "Act as a system administrator and log every step you take while configuring this server, including any errors encountered."
  • "Analyze the following error log provided by the user and suggest a fix based on standard logging best practices."
  • "Generate a structured summary of today's AI agent interactions, highlighting all warnings and critical errors."

Tips & gotchas

Ensure your AI agent has access to the specific context or system state required to generate accurate logs; otherwise, entries may be generic. Avoid overloading logs with excessive verbose data unless specifically debugging low-level issues, as this can obscure important information.