human-in-loop-escalation

Escalate high-stakes tasks to humans via a formal decision tree.

6|1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/Forexgod21/YVYC-Claude-Skills --skill human-in-loop-escalation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: human-in-loop-escalation
Source: https://github.com/Forexgod21/YVYC-Claude-Skills/tree/main/agentic/human-in-loop-escalation
Command: npx skills add https://github.com/Forexgod21/YVYC-Claude-Skills --skill human-in-loop-escalation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides Claude with a clear escalation decision tree to stop and require human input during task execution, preventing self-authorization and unsafe continuation.

Core Features & Use Cases

  • Clear escalation triggers: mandatory and discretionary
  • Structured escalation report: trigger, options, recommendations, task state
  • Productive waiting: documents context and safe sub-tasks while awaiting human input

Quick Start

Install the SKILL.md file into your Claude skills directory to enable guarded autonomy.

Frequently Asked Questions about human-in-loop-escalation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add human-in-the-loop escalation to an AI control flow for high-stakes tasks?

Human-in-the-loop escalation prevents unchecked autonomous action by applying a formal decision tree that pauses task execution and requires explicit human authorization before proceeding with irreversible outcomes.

When should an AI governance workflow trigger human escalation?

An AI governance workflow should trigger human escalation when mandatory or discretionary boundaries are met, specifically involving irreversible outcomes, ethical concerns, or scope boundaries that require human oversight.

What is included in an escalation report for AI decision trees?

An escalation report for AI decision trees includes the specific trigger encountered, available options, recommendations, and the current task state to provide context for human oversight.

Can an AI agent continue productive work while waiting for human input on a blocked task?

Yes, during productive waiting the agent documents context and identifies safe sub-tasks that can proceed without risk while awaiting explicit human authorization for the blocked high-stakes action.

Does this human-in-the-loop skill require any dependencies to implement AI safety controls?

No, this human-in-the-loop skill has no dependencies and can be installed directly into your Claude skills directory to enable guarded autonomy and formal escalation triggers.

Why does autonomous task execution fail without safety escalation boundaries?

Autonomous task execution fails without safety boundaries because the AI may self-authorize unsafe continuation past ethical concerns or irreversible outcomes, whereas a formal escalation decision tree enforces required human oversight.