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Logging

Checked
pluginagentmarketplace·vlatest·testing

This Logging skill records events and actions for debugging, monitoring, and auditing your application’s behavior, ensuring accountability & troubleshooting.

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 pluginagentmarketplace/custom-plugin-devops --skill 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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-devops at 9d92c0c609.

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

Commit
9d92c0c609
Manifest
skills/logging/SKILL.md
Scanned
7 files, 342 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

The logging skill enables AI agents to record events and data points for tracking, debugging, and auditing purposes. It allows the agent to write structured messages with timestamps and severity levels (e.g., info, warning, error) to a designated output location like a file or database. This facilitates analysis of agent behavior and identification of potential issues.

When to use it

  • Debugging complex workflows: When an AI agent is failing in unexpected ways, logging can provide valuable insights into the sequence of events leading up to the failure.
  • Monitoring system health: Track resource usage or API response times with log entries to proactively identify and address performance bottlenecks.
  • Auditing user interactions: Record user actions within a specific application to ensure compliance or investigate security incidents.
  • Tracking progress in long-running tasks: Log checkpoints during lengthy processes to monitor status and provide feedback to users.

Key capabilities

  • Timestamped log entries
  • Severity level assignment (e.g., info, warning, error)
  • Structured message formatting
  • Output destination specification (file or database)

Example prompts

  • "Log a warning that the API request timed out."
  • "Record an informational message about the user's current location."
  • "Write an error log with details of the failed file upload."

Tips & gotchas

The effectiveness of logging depends on clear and consistent formatting. Ensure your prompts specify the severity level and relevant context for each log entry to maximize its usefulness for later analysis.