service-citation

Resolve citations and verify claim grounding via semantic analysis.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/quarkloop/agent --skill service-citation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: service-citation
Source: https://github.com/quarkloop/agent/tree/main/plugins/services/citation
Command: npx skills add https://github.com/quarkloop/agent --skill service-citation

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill resolves citations and verifies grounding for claims, ensuring the accuracy of referenced sources in textual evidence.

Core Features & Use Cases

  • Source Span Resolution: Normalize selected claim text into source spans with offsets and confidence.
  • Citation Creation: Generate normalized citation records from selected evidence.
  • Grounding Verification: Mechanically verify that provided citation spans ground selected claims.
  • Coverage Scoring: Summarize citation coverage across claims for final answers or index writes.
  • Reference Rendering: Render source references for user-facing answers and manual verification.
  • Use Case: When creating an AI-powered summary of a research paper, use this Skill to ensure that all cited references are grounded and correctly formatted.

Quick Start

Use the service-citation skill to verify grounding for the claim "The Quark Agent is a local operating environment for autonomous AI workspaces."

Frequently Asked Questions about service-citation

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

FAQPage Schema
How do I verify grounding for claims in a research summary?

To verify grounding for claims, you can use semantic analysis to mechanically confirm that provided citation spans support selected textual claims. This ensures referenced sources are accurate and correctly grounded in evidence-based reporting.

What is the best way to resolve citations for text analysis evidence?

The best way to resolve citations is to normalize selected claim text into source spans with offsets and confidence scores. This process creates normalized citation records from your selected evidence for manual verification.

Can I generate citation records from extracted knowledge claims?

Yes, you can generate citation records by normalizing selected knowledge extraction text into source spans. This creates verified citation records with offsets and confidence scores to ground your claims in the original evidence.

How does coverage scoring work for citation verification?

Coverage scoring works by summarizing citation coverage across all claims in your final answers or index writes. It generates a score reflecting how comprehensively your citations ground the extracted textual evidence.

Do I need a reliable agent loop for citation grounding verification?

Yes, you need a reliable agent loop and access to a context indexer to verify citation grounding. These components are required to perform the semantic analysis needed to mechanically verify that citation spans ground selected claims.

When should I not use semantic analysis for evidence verification?

You should avoid using semantic analysis for evidence verification when you lack a reliable agent loop or indexer access. Without these dependencies, the tool cannot resolve source spans or mechanically verify that citation spans ground selected claims.