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Error Pattern Analyzer

Checked
latestaiagents·vlatest·backend·MIT

This tool identifies recurring error patterns in logs to pinpoint root causes and accelerate debugging efforts for improved system reliability.

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 latestaiagents/agent-skills --skill error-pattern-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

latestaiagents

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 latestaiagents/agent-skills at 6120c5539d.

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

Commit
6120c5539d
Manifest
skills/developer/debug-detective/error-pattern-analyzer/SKILL.md
Scanned
2 files, 720 lines
Copies in repo
2 — all of them scanned
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 error-pattern-analyzer skill identifies recurring patterns within error logs. It can analyze large volumes of text data to pinpoint common errors, categorize them based on severity or type, and suggest potential root causes. This helps streamline debugging efforts and improve system stability by proactively addressing underlying issues.

When to use it

  • Debugging production incidents: Quickly identify the most frequent errors contributing to a service outage.
  • Analyzing application performance: Discover patterns in error logs that correlate with slow response times or increased resource usage.
  • Improving code quality: Pinpoint recurring error types during development and testing cycles to guide refactoring efforts.
  • Automating incident triage: Automatically categorize errors based on detected patterns, prioritizing those requiring immediate attention.

Key capabilities

  • Error log parsing
  • Pattern identification
  • Severity categorization
  • Root cause suggestion

Example prompts

  • "Analyze these error logs and identify the top 3 most frequent error patterns."
  • "Categorize these errors by severity level (critical, warning, informational)."
  • “What are some potential root causes for this recurring 'NullPointerException'?"

Tips & gotchas

The skill requires access to raw error log data in a text format. The accuracy of the analysis depends on the quality and consistency of the input logs; poorly formatted or noisy logs may yield inaccurate results.