Implement human-in-the-loop approval for dangerous AgentOS actions.
npx skills add https://github.com/framerslab/agentos-skills --skill hitl-safety
Please help me install this Agent Skill. Skill: hitl-safety Source: https://github.com/framerslab/agentos-skills/tree/main/registry/curated/hitl-safety Command: npx skills add https://github.com/framerslab/agentos-skills --skill hitl-safety
This Skill provides safety controls for actions that could be destructive, irreversible, expensive, sensitive, or external, ensuring they go through a human or LLM judge approval process before execution.
Set up the Skill with the appropriate handler (e.g., hitl.cli()) and configure it in your agent settings or code.
High-intent search queries and answers about installing and using this skill.
Human-in-the-loop approval processes intercept destructive agent actions like file deletions or financial transactions, routing them to manual review or LLM judging before execution. This ensures critical operations are verified for safety.
LLM judging can replace manual review for safety guardrails, allowing an LLM to evaluate action safety automatically. You can also configure automated approvals with guardrail overrides depending on the risk level.
Implementing HITL safety controls prevents autonomous agents from executing sensitive external actions like sending mass emails or performing financial transactions without an explicit human or LLM judge approval step.
Post-approval guardrail checks for code safety and PII redaction are included. These safety controls ensure that even after initial approval, the action is scanned for sensitive data exposure before final execution.
Safety controls with guardrail overrides are needed for irreversible, expensive, or external AI workflows. They ensure potentially dangerous actions undergo an approval process, providing an automated safety net when human review is unavailable.
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