Extract root-cause insights from noisy error logs and stack traces.
npx skills add https://github.com/KILWA73/MiniSoc --skill log-aggregator
Please help me install this Agent Skill. Skill: log-aggregator Source: https://github.com/KILWA73/MiniSoc/tree/main/.agents/skills/log-aggregator Command: npx skills add https://github.com/KILWA73/MiniSoc --skill log-aggregator
Automates the extraction and interpretation of noisy stack traces, turning error dumps into actionable debugging insights.
Paste a raw error log into the chat and ask for the most probable root cause and suggested fix.
High-intent search queries and answers about installing and using this skill.
To find the root cause from a noisy stack trace, paste the raw error log into the chat. The log aggregator reads the trace, extracts the top culprit location, sanitizes sensitive data, and returns a prioritized root-cause summary.
Yes, you can use this for error analysis during incident triage. It contextualizes logs into identifiable culprits by file, function, and line, mapping severities to help you quickly verify issues during debugging sessions.
To extract the culprit location from unfamiliar error logs, provide the raw text to the aggregator. It automatically identifies the exact file, function, and line number causing the failure without requiring manual searching.
Yes, this log analysis tool sanitizes sensitive data in error dumps. It processes raw stack traces and cleans the output before returning a concise root-cause insight and suggested fix.
The best way to turn error dumps into actionable debugging insights is to feed the raw stack trace to an automated interpreter. It extracts the most probable root cause and translates the noise into a concise, actionable summary.
No, you do not need to format stack traces before feeding them to the log aggregator. You can paste raw error logs directly into the chat, and it will handle the extraction and interpretation automatically.
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