Implement Python-based event-driven hooks for AI agent lifecycle governance.
npx skills add https://github.com/GetFresh-Ventures/gxd-ceo-ai-kit --skill gfv-hooks
Please help me install this Agent Skill. Skill: gfv-hooks Source: https://github.com/GetFresh-Ventures/gxd-ceo-ai-kit/tree/main/skills/gfv-hooks Command: npx skills add https://github.com/GetFresh-Ventures/gxd-ceo-ai-kit --skill gfv-hooks
Event-driven lifecycle automation for AI-native companies. Provides a complete hooks infrastructure with session persistence, decision audit trails, safety gates, and notification systems. Use when onboarding a portfolio company, setting up agent governance, or implementing quality controls on AI operations. Triggers on "set up hooks", "configure governance", "audit trail", "session persistence", or "agent safety".
Configure your first session start hook to auto-load company context and enable persistence.
High-intent search queries and answers about installing and using this skill.
Set up lifecycle hooks by configuring a Python-based hooks system with event triggers for onboarding, audit logging, and session persistence to enforce safety gates. This infrastructure enables event-driven governance for autonomous AI agents across their operational workflows.
AI agent safety gates are event-driven lifecycle hooks that enforce quality controls during autonomous operations. They trigger configurable events to log decisions, persist sessions, and block unsafe actions, providing a complete governance infrastructure for AI-driven GTM workflows.
Create an audit trail by implementing lifecycle hooks that log decision events during AI agent operations. The system captures event-driven triggers across onboarding and governance workflows, maintaining persistent session records for quality control and compliance auditing.
Yes, the hooks system supports local overrides and versioned configurations through the .claude/hooks structure. It includes reference implementation guidance with hooks_handler.py, allowing customized event-driven governance workflows while maintaining core safety and audit capabilities.
Session persistence is needed when implementing governance for autonomous AI agents that require continuous audit trails and state tracking. It maintains event-driven lifecycle context during onboarding and operational workflows, ensuring safety gates and decision logs survive session interruptions.
Configure governance for AI-driven GTM workflows by deploying event-driven lifecycle hooks that automate logging, gating, persistence, and notifications. This approach provides complete infrastructure for quality control and audit compliance across autonomous agent operations during portfolio onboarding.
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