Locate and search remote ML experiment logs for errors and progress.
npx skills add https://github.com/kang-jaehyun/Mac-the-researcher --skill logs-kang-jaehyun
Please help me install this Agent Skill. Skill: logs Source: https://github.com/kang-jaehyun/Mac-the-researcher/tree/main/.claude/skills/logs Command: npx skills add https://github.com/kang-jaehyun/Mac-the-researcher --skill logs-kang-jaehyun
Anomaly diagnosis and monitoring of ML experiments requires fast access to log outputs across multiple remote clusters; this skill provides a unified interface to locate, tail, and search logs from training runs to speed debugging and progress assessment.
Ask the AI to fetch logs for a specific job_id or experiment across your remote clusters.
High-intent search queries and answers about installing and using this skill.
The logs skill locates and reads remote ML experiment logs to diagnose training progress and errors, allowing you to tail, search, and filter log outputs from per-job or per-experiment runs across multiple remote clusters.
Yes, you can tail live or recent log entries from running experiments across remote clusters using the tail_log tool, allowing you to monitor recent training progress and diagnose anomalies in real-time.
To locate a specific job_id log output in a remote cluster, use the find_logs tool to search remote log stores, which retrieves the exact training run output needed for progress assessment and debugging.
Limitations depend on remote log store access and cluster connectivity; grep-like search is optimized for per-job or per-experiment log review, so massive multi-cluster aggregation may face performance constraints.
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