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Review Logging Patterns

Checked
hugorcd·vlatest·other·MIT

Helps with code review, patterns as part of agent workflows workflows.

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 evloghq/evlog --skill review-logging-patterns -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

hugorcd

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 hugorcd/evlog at 5b4a493879.

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

Scanned
5 files, 2,298 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 review-logging-patterns skill helps identify and analyze common logging patterns in software systems. It can detect issues like redundant logs, missing context, or inconsistent formatting across log entries, enabling developers to improve the clarity and usefulness of their application's logs.

When to use it

  • When debugging complex applications with unclear or verbose logs
  • Before deploying a system to ensure logs are structured and actionable
  • During code reviews to enforce consistent logging practices

Key capabilities

  • Detects redundant or repetitive log messages
  • Identifies missing contextual information in logs
  • Highlights inconsistent formatting across log entries

Example prompts

  • "Analyze the logs from my application and identify any patterns that could be improved."
  • "Check for redundant logging statements in this codebase."
  • "Review these logs and suggest ways to make them more structured and useful."

Tips & gotchas

  • Ensure your log files are accessible and formatted consistently for accurate analysis.
  • This skill works best with well-established logging frameworks like Log4j, Winston, or Python’s logging module.