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errors

Aggregate and analyze Claude Code errors from JSONL logs and system logs.

14|2|Updated Feb 18, 2026
Search Tags:#automation#debugging#logging#analysis#reporting#errors#claude-code
One-click install
npx skills add https://github.com/opencodos/opencodos --skill errors-opencodos
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: errors
Source: https://github.com/opencodos/opencodos/tree/main/skills/Error%20Log
Command: npx skills add https://github.com/opencodos/opencodos --skill errors-opencodos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Aggregates and analyzes Claude Code errors from multiple sources to surface failures, patterns, and actionable insights for debugging and reliability.

Core Features & Use Cases

  • Real-time error collection from tool logs, system logs, and session data to build a unified error view.
  • Categorization by type (timeout, permission, parse, etc.) and pattern detection (peak hours, problematic tools).
  • Generated markdown reports saved to Vault/5 - Logs for auditing and sharing with teams.

Quick Start

Run the error aggregation script to generate today’s error report for Claude Code.

Frequently Asked Questions about errors

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

FAQPage Schema
How do I aggregate Claude Code errors from multiple logs?▼

To aggregate Claude Code errors, you can collect data from real-time JSONL logs, system logs, and session data to build a unified view. This process correlates sessions to identify failure patterns across all sources.

What is the best way to analyze Claude Code tool errors for debugging?▼

The best way to analyze Claude Code tool errors is by categorizing them by type, such as timeout or permission, and detecting patterns like peak hours or problematic tools. This generates actionable insights for debugging.

How do I generate a markdown report for Claude Code session errors?▼

You can generate a markdown error report by scanning system logs and correlating session data. The output is saved directly to Vault/5 - Logs for auditing and sharing with teams.

Does this error aggregation method work with real-time JSONL logs?▼

Yes, this error aggregation method works with real-time JSONL logs. It reads the live log streams to collect, categorize, and surface failures alongside system logs and session data.

Can I detect patterns in Claude Code timeout and permission errors?▼

Yes, you can detect patterns in timeout and permission errors by applying aggregation analysis to your logs. It identifies problematic tools and peak hours to help surface reliability issues.

Why should I categorize Claude Code system logs by error type?▼

Categorizing Claude Code system logs by error type, such as parse or timeout, helps identify specific failure patterns. This categorization surfaces actionable insights for debugging and reliability improvements.

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