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Log Driven Debugging

Checked
bakrrrrr·vlatest·testing·MIT

Analyzes application logs to automatically identify root causes of errors and suggest targeted fixes.

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 bakrrrrr/skills --skill log-driven-debugging -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

bakrrrrr

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 bakrrrrr/skills at 3880bac7b4.

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

Commit
3880bac7b4
Manifest
log-driven-debugging/SKILL.md
Scanned
2 files, 244 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 allows an AI agent to analyze and interpret application logs to identify root causes of issues. It can parse structured or unstructured log data, correlate events across different log entries, and suggest potential solutions based on identified patterns. The skill facilitates faster debugging cycles by automating the process of sifting through large volumes of log information.

When to use it

  • Troubleshooting application errors: When users report issues, the agent can analyze logs to pinpoint the source of the problem.
  • Identifying performance bottlenecks: Analyze logs related to request processing times and resource utilization to find areas for optimization.
  • Debugging automated processes: If an automated workflow fails, use log analysis to understand why it stopped or produced unexpected results.
  • Analyzing security incidents: Examine logs for suspicious activity patterns that might indicate a security breach.

Key capabilities

  • Log parsing (structured and unstructured)
  • Event correlation across log entries
  • Pattern identification within logs
  • Root cause suggestion based on analysis

Example prompts

  • "Analyze the application logs from the last hour and tell me why users are reporting slow response times."
  • "Find all error messages related to database connection failures in the system logs."
  • "Correlate these log entries [paste log entries] and identify the sequence of events that led to this failure."

Tips & gotchas

The agent's effectiveness depends on the quality and availability of application logs. Ensure your logging is comprehensive and includes sufficient context for accurate analysis.