research

Locate primary sources and record retrieval dates for volatile facts.

Updated Apr 16, 2026

Search Tags:#documentation #research #volatility #primary-sources #source-attribution #fact-verification #retrieval-date

Ready to run

npx skills add https://github.com/seshxn/ai-swarm --skill research-seshxn

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/seshxn/ai-swarm/tree/main/skills/research
Command: npx skills add https://github.com/seshxn/ai-swarm --skill research-seshxn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gather source-backed information for volatile or uncertain facts, ensuring traceability and proper attribution.

Core Features & Use Cases

Identify the factual question and locate primary sources to maximize reliability.
Capture retrieval date, separate facts from inference, and document uncertainties.
Provide a clear output with sources and a structured summary suitable for audits and citations.
Use case: verify API names, pricing, or model details by citing official docs and dated credentials.

Quick Start

Ask the AI to retrieve a source-backed answer for a volatile fact and include sources and the retrieval date.

Frequently Asked Questions about research

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

FAQPage Schema

How do I verify volatile facts like API pricing using primary sources?▼

Source-backed fact verification identifies volatile information such as provider docs or model names, locates primary sources, records retrieval dates, separates facts from inference, and reports unknowns for audit-ready citations.

How do I document retrieval dates and source attribution for fact verification?▼

Documenting retrieval dates and source attribution involves capturing when primary sources are accessed, separating factual data from inference, and structuring the output with dated credentials suitable for audits and citations.

What is the best way to separate facts from inference when checking documentation?▼

Separating facts from inference during research requires locating primary sources, recording retrieval dates, explicitly distinguishing verified information from inferred conclusions, and documenting any uncertainties or unknowns.

When do I need source-backed retrieval for model names and provider docs?▼

Source-backed retrieval is needed for model names and provider docs when dealing with volatile facts where sources and dates matter, ensuring traceability and proper attribution for audit and citation purposes.

Can I use this approach to get audit-ready citations for uncertain information?▼

Yes, you can use this approach to get audit-ready citations by identifying factual questions, locating primary sources to maximize reliability, and providing a clear output with sources and a structured summary suitable for audits.

Does fact verification work for reporting unknowns and uncertainties in research?▼

Fact verification works for reporting unknowns by identifying volatile facts, locating primary sources, capturing retrieval dates, separating facts from inference, and explicitly documenting uncertainties to ensure traceability and proper attribution.