Evaluates babysitter runtime health via journal, cache, log and hook checks.
npx skills add https://github.com/a5c-ai/babysitter-omp --skill doctor-a5c-ai
Please help me install this Agent Skill. Skill: doctor Source: https://github.com/a5c-ai/babysitter-omp/tree/main/skills/doctor Command: npx skills add https://github.com/a5c-ai/babysitter-omp --skill doctor-a5c-ai
This Skill provides a detailed health assessment of the babysitter runtime, enabling early detection of issues that could impact automation reliability.
Invoke the doctor Skill to perform an immediate health review of your babysitter runtime environment.
High-intent search queries and answers about installing and using this skill.
To diagnose babysitter runtime health issues, you can run a comprehensive system check that evaluates journal integrity, cache accuracy, effect statuses, and process health to generate actionable troubleshooting insights.
Performing a system check on babysitter logs and cache requires evaluating journal directories and runtime configuration files to identify health issues, ensuring your automation runs smoothly without unexpected failures.
Yes, running runtime diagnostics requires access to journal directories, logs, and runtime configuration files to perform a full assessment of process validation, effect monitoring, and hook health.
Yes, you can use this diagnostics tool to troubleshoot errors in babysitter sessions by applying a comprehensive evaluation across sessions, cache, logs, and hook health to identify potential failures.
When babysitter effects are stuck and logs contain errors, you should invoke a health diagnostics review to perform journal verification and effect monitoring, providing structured insights for maintenance.
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