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Check local system readiness, disks, environment, integrations, voice/browser/channel providers, and dependency health before or during agent workflows.
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Basado en la clasificación ocupacional SOC
| name | system-health-check |
| description | Check local system readiness, disks, environment, integrations, voice/browser/channel providers, and dependency health before or during agent workflows. |
Give the assistant a reliable view of local readiness before running complex tasks. This skill checks environment and integration health without pretending missing providers are working.
Use before end-to-end smoke tests, local model/voice/channel/browser setup, app troubleshooting, dependency diagnosis, or when the user asks whether the system is ready.
system_statusexternal_integrations_statusvoice_provider_statusbrowser_live_statuschannel_doctoractivity_policytool_searchcapability_surfaceagent_skill_script_catalogagent_skill_script_runscripts/check_readiness.py: collects workspace, data directory, Python runtime, skill count, and redacted environment-presence facts. Use through agent_skill_script_run when a compact local readiness snapshot is useful.system-health-check.Design, implement, organize, document, and verify Humungousaur platform OS collectors for macOS, Windows, or Linux using official OS API references, shared event envelopes, helper health, privacy-first metadata, and repo-native adapter boundaries.
Parent skill for code inspection, debugging, tests, CI, reviews, dependency security, skill authoring, experiments, and engineering workflows.
Apply user, stranger, group, channel, and action access tiers using native channel policy, allowlists, approvals, and cognitive review.
Assess the assistant's readiness, capability fit, safety risks, tool coverage, and verification plan before or during complex work. Use when work is high-impact, ambiguous, risky, long-running, or failure-prone.
Review recent agent behavior, uncertainty, mistakes, interaction quality, and lessons so the assistant can improve future work. Use after complex tasks, failures, user corrections, or long sessions.
Treat unmentioned group-room chatter as quiet context unless policy, mention, direct request, or model-led cognition decides a response is appropriate. Use for Slack channels, Discord servers, Telegram groups, Matrix rooms, and similar shared spaces.