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Log Analysis

Checked
incidentfox·vlatest·devops

Rapidly analyzes incident logs to identify root causes, patterns, and impacted services using advanced AI.

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 incidentfox/incidentfox --skill log-analysis -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

incidentfox

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 incidentfox/incidentfox at 1b6ffad455.

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

Scanned
1 file, 176 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 analyzes logs to identify potential issues and provide insights. It can parse common log formats, extract relevant information like timestamps, error messages, and user actions, and summarize findings in a human-readable format. The goal is to accelerate incident response and improve system observability.

When to use it

  • Incident Investigation: Quickly analyze logs related to a reported outage or performance degradation.
  • Security Audits: Scan log files for suspicious activity or policy violations.
  • Performance Troubleshooting: Identify bottlenecks and areas of inefficiency based on log data.
  • Root Cause Analysis: Correlate events from different log sources to pinpoint the underlying cause of an issue.

Key capabilities

  • Log parsing and formatting
  • Error message extraction
  • Timestamp analysis
  • Summary generation

Example prompts

  • "Analyze these logs for errors related to database connectivity."
  • "Summarize user login activity from the last 24 hours."
  • "Find any unusual patterns in this application log file."

Tips & gotchas

The skill's effectiveness depends on the quality and format of the input logs. Ensure the logs are properly formatted and contain sufficient information for meaningful analysis.