requirement-clarification

Detects ambiguous user instructions and requests clarification before execution via standardized approval workflows.

22|7|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/Dqz00116/skill-lib --skill requirement-clarification-dqz00116
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: requirement-clarification
Source: https://github.com/Dqz00116/skill-lib/tree/main/requirement-clarification
Command: npx skills add https://github.com/Dqz00116/skill-lib --skill requirement-clarification-dqz00116

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Intercepts ambiguous user instructions and guides users through a structured clarification to ensure explicit approval before execution.

Core Features & Use Cases

  • Ambiguity scoring and detection to quantify uncertainty
  • Mandatory pause and confirmation workflow for state-changing actions
  • Single-question clarification strategy and standardized execution plans
  • Safe, auditable prompts that require explicit approvals

Quick Start

Ask one precise clarification question and present an execution plan for approval before proceeding.

Frequently Asked Questions about requirement-clarification

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

FAQPage Schema
How do I clarify ambiguous instructions before execution to prevent misinterpretation?

To clarify ambiguous instructions, the system scores uncertainty and pauses execution to ask a single, precise clarification question before proceeding. This structured workflow intercepts unclear or missing-parameter tasks, ensuring explicit user approval before any state-changing action occurs.

How does ambiguity detection work for high-risk or state-changing tasks?

Ambiguity detection works by scoring user instructions to quantify uncertainty and triggering a mandatory pause check for high-risk tasks. When uncertainty is detected, the workflow enforces an explicit approval step, presenting a standardized execution plan to prevent unintended state changes.

What is the best way to implement a mandatory pause and confirmation workflow for interactive agents?

The best way to implement a mandatory pause and confirmation workflow is by applying an ambiguity detector that intercepts high-risk commands. It halts interactive agents before state-changing actions, presenting a standardized execution plan and requiring explicit approval to ensure safe, auditable outcomes.

When do I need an approval workflow for missing-parameter instructions?

You need an approval workflow when instructions contain missing parameters or high ambiguity that could lead to misinterpretation. The system detects this uncertainty, pauses execution, and asks a single clarification question to generate a standardized plan requiring your explicit approval before proceeding.

Does this clarification strategy support single-question prompts for interactive agents?

Yes, this clarification strategy supports interactive agents by enforcing a single-question prompt to resolve ambiguity. It scores uncertainty, pauses for state-changing actions, and generates a standardized execution plan that requires explicit approval before proceeding safely.

Why does my execution plan require explicit approval before proceeding with a task?

Your execution plan requires explicit approval because the ambiguity detection system identifies high-risk or missing-parameter instructions. To prevent misinterpretation and ensure auditable safety, it enforces a mandatory pause, asks a single clarification question, and demands your explicit approval before executing any state-changing action.