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Massgen Log Analyzer

Checked
massgen·vlatest·testing

Analyzes large log files for patterns and anomalies, quickly identifying potential issues and improving system 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 massgen/massgen --skill massgen-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

massgen

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 massgen/massgen at 007bd85792.

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

Commit
007bd85792
Manifest
massgen/skills/massgen-log-analyzer/SKILL.md
Scanned
1 file, 1,361 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 massgen-log-analyzer skill analyzes log files to extract insights and identify potential issues. It can parse various log formats, summarize key events, and highlight error patterns. This allows users to quickly understand the state of a system based on its logs without manual review.

When to use it

  • Troubleshooting application errors: Quickly pinpoint the root cause of an issue by analyzing relevant application logs.
  • Monitoring server health: Identify performance bottlenecks or unusual activity in server log files.
  • Auditing security events: Review system logs for suspicious login attempts or unauthorized access.
  • Analyzing website traffic: Extract data from webserver logs to understand user behavior and identify trends.

Key capabilities

  • Log file parsing
  • Error pattern identification
  • Event summarization
  • Support for various log formats

Example prompts

  • "Analyze the last 24 hours of my application server logs."
  • "Summarize all error messages from the webserver access logs."
  • "Find any unusual login attempts in the system security logs."

Tips & gotchas

The skill's effectiveness depends on the quality and format of the log files provided. Ensure that the log files are accessible to the AI agent and in a supported format for optimal results.