Skip to content
TrustedSkillsbeta
Back to all skills

Log Analyzer

Checked
curiouslearner·vlatest·testing·MIT

Analyzes logs for patterns & anomalies, quickly identifying issues and improving system performance or troubleshooting problems.

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 curiouslearner/devkit --skill log-analyzer -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

curiouslearner

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 curiouslearner/devkit at 3fa45b7ab3.

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

Commit
3fa45b7ab3
Manifest
skills/log-analyzer/SKILL.md
Scanned
1 file, 411 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 curiouslearner-log-analyzer skill allows AI agents to parse and extract key information from log files. It can identify error patterns, track resource usage trends, and summarize events within a specified timeframe. This capability is useful for debugging applications, monitoring system health, and gaining insights into operational performance.

When to use it

  • Troubleshooting application errors: Analyze server logs to pinpoint the root cause of recurring issues.
  • Monitoring resource utilization: Track CPU usage, memory consumption, or network traffic over time.
  • Auditing security events: Examine access logs for suspicious activity and potential breaches.
  • Summarizing daily system operations: Generate a concise overview of key events from application or server logs.

Key capabilities

  • Log file parsing
  • Error pattern identification
  • Resource usage tracking
  • Time-based event summarization

Example prompts

  • "Analyze the Apache access log for today and identify any 404 errors."
  • "Summarize the system logs from yesterday, focusing on warnings and errors."
  • “Extract all lines containing ‘failed login’ from the authentication.log file.”

Tips & gotchas

The skill requires a valid path to the log file being analyzed. Ensure the AI agent has appropriate permissions to access the specified log files for accurate results.