grounded-answer-with-citations

Synthesize source-backed answers with authority-ranked citations from curated knowledge bases.

Updated Jul 23, 2026

Search Tags:#compliance #citations #transparency #grounding #regulatory #authority

Ready to run

npx skills add https://github.com/rahulgupta2018/agent-skills --skill grounded-answer-with-citations

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: grounded-answer-with-citations
Source: https://github.com/rahulgupta2018/agent-skills/tree/main/skills/grounded-answer-with-citations
Command: npx skills add https://github.com/rahulgupta2018/agent-skills --skill grounded-answer-with-citations

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the problem of AI hallucination and lack of accountability in high-stakes environments by ensuring every claim is anchored to a specific, verifiable source.

Core Features & Use Cases

Evidence-Based Synthesis: Automatically generates answers using only provided context, preventing the model from fabricating information.
Authority-Ranked Citations: Maps claims to specific sources, clauses, and "as at" dates, providing users with full transparency.
Confidence Scoring: Assigns a confidence level (High/Medium/Low) based on the authority of the source material, ensuring users know when to seek expert review.
Use Case: A policy analyst needs to answer a complex regulatory question; this skill synthesizes the answer from official statutes and guidance, citing the exact section and jurisdiction for each point.

Quick Start

Activate the grounded-answer-with-citations skill to synthesize a response for the user query using the retrieved context provided in the project environment.

Frequently Asked Questions about grounded-answer-with-citations

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

FAQPage Schema

How do I generate regulatory compliance answers with verifiable citations?▼

To generate regulatory compliance answers with verifiable citations, synthesize responses using only provided context mapped to authority-ranked sources, ensuring each claim is anchored to specific clauses, dates, and jurisdictions.

Can I prevent AI hallucinations in policy and regulatory domains?▼

Preventing AI hallucinations in policy and regulatory domains requires evidence-based synthesis that generates answers strictly from provided context, preventing the model from fabricating information or relying on unverified knowledge.

How do I map retrieved context to authority-ranked sources for legal queries?▼

Mapping retrieved context to authority-ranked sources requires an ontology-guided retrieval system that evaluates source material authority, assigns confidence scores, and enforces jurisdiction-specific guardrails for legal queries.

Does generating grounded answers require an ontology-guided retrieval system?▼

Generating grounded answers requires integration with an ontology-guided retrieval system to ensure all synthesized claims are grounded in verified provenance and mapped correctly to authority-ranked citations.

What is the best way to indicate confidence levels for source-backed answers?▼

The best way to indicate confidence for source-backed answers is assigning High, Medium, or Low scores based on the authority of the source material, ensuring users know exactly when to seek expert review.

Why should I not use standard AI synthesis for high-stakes compliance questions?▼

Standard AI synthesis lacks accountability for high-stakes compliance questions because it does not anchor claims to verifiable sources, risking hallucinations and missing temporal validity or jurisdiction-specific regulatory guardrails.