agent-logs

Scan system log files for new critical entries with stateful position tracking.

1|Updated Mar 11, 2025
One-click install
npx skills add https://github.com/danielstewart77/hive_mind --skill agent-logs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-logs
Source: https://github.com/danielstewart77/hive_mind/tree/main/specs/skills/agent-logs
Command: npx skills add https://github.com/danielstewart77/hive_mind --skill agent-logs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) components.

What problem does it solve?

This Skill helps identify critical issues within system log files by scanning for errors, failures, and panics, ensuring system stability and quick problem resolution.

Core Features & Use Cases

  • Automated Log Scanning: Continuously monitors specified log files for critical entries.
  • Stateful Tracking: Remembers its position in log files to only report new entries since the last scan.
  • Use Case: Automatically alert administrators when a new kernel panic or critical application error appears in the system logs.

Quick Start

Scan the system log files for critical entries, starting from where you last left off.

Frequently Asked Questions about agent-logs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scan system logs for errors and kernel panics?

Stateful log scanning tracks read positions across calls using position tracking files. This mechanism remembers where the last scan ended, ensuring subsequent runs report only newly added log entries.

Can I monitor only new entries in system log files instead of the whole file?

Yes, stateful tracking remembers read positions across calls using position tracking files. This monitors only new entries since the last scan, preventing duplicate alerts for previously reported critical errors.

Do I need Python to run automated system log diagnostics?

Yes, Python is required as a dependency to run the scripts for automated system log diagnostics. The scripts use Python to parse configured log paths and identify critical system entries.

What is the best way to continuously monitor kernel logs for critical failures?

The best way to continuously monitor kernel logs is using stateful tracking with configurable log paths. This approach scans for panics and failures while remembering positions to alert administrators only on new entries.

Can I configure custom log paths for system error monitoring?

Yes, system error monitoring supports configurable log paths. You can specify target system and kernel log files, and the scanner will check those specific locations for critical entries like panics.