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grounded-qa-service-playbook

Develop grounded QA/RAG services with deterministic fallback and verification.

1|Updated Feb 22, 2026
Search Tags:#qa#playbook#verification#rag#grounding#hallucination#evidence-based
One-click install
npx skills add https://github.com/arugo11/sit-copilot --skill grounded-qa-service-playbook
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: grounded-qa-service-playbook
Source: https://github.com/arugo11/sit-copilot/tree/main/.codex/skills/grounded-qa-service-playbook
Command: npx skills add https://github.com/arugo11/sit-copilot --skill grounded-qa-service-playbook

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the critical need for reliable Question Answering (QA) and Retrieval Augmented Generation (RAG) systems that prioritize factual grounding and minimize hallucinations.

Core Features & Use Cases

  • Grounded Response Contract: Defines a strict output format including answer, confidence, and verifiable sources.
  • Deterministic Fallback: Ensures a predictable, low-confidence response when no evidence is found.
  • Service Interface Separation: Promotes modularity by separating retrieval, generation, verification, and orchestration.
  • Mandatory Testing & Hardening: Includes API and service tests, security reviews, and acceptance gates for robustness.
  • Use Case: Developing a customer support chatbot that must cite its sources for every answer to ensure accuracy and build user trust.

Quick Start

Implement a grounded QA service by defining its response contract and building the retrieval path first.

Frequently Asked Questions about grounded-qa-service-playbook

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

FAQPage Schema
How do I build a RAG service that cites sources and prevents hallucinations?▼

To build an evidence-first RAG service that prevents hallucinations, define a grounded response contract with answer, confidence, and verifiable sources, then enforce evidence-only prompt policies and deterministic no-source fallback.

What is a deterministic fallback in a grounded QA system?▼

A deterministic fallback in a grounded QA system ensures a predictable, low-confidence response when no evidence is found, preventing hallucinations and maintaining output contracts without generating unverified answers.

How do I structure a QA service to separate retrieval and generation?▼

To separate retrieval and generation in a QA service, implement service interface separation that promotes modularity by dividing retrieval, generation, verification, and orchestration into distinct components for robust hardening.

Can I use this approach for a customer support chatbot that requires source citations?▼

Yes, this approach suits a customer support chatbot by enforcing evidence-only prompt policies and a response contract that requires verifiable sources for every answer to ensure accuracy and build user trust.

What testing is required to harden a grounded RAG service?▼

Hardening a grounded RAG service requires mandatory API and service tests, security reviews, and acceptance gates to ensure output contracts, verification, and persistence meet strict security and quality standards.

Why does my RAG model return answers without evidence?▼

RAG models return answers without evidence when lacking evidence-only prompt policies and a grounded response contract, requiring a deterministic no-source fallback to enforce verifiable sources.

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