Deep Research

Generate multi-source research reports with source credibility tiering and per-finding confidence.

6|2|Updated May 21, 2026
One-click install
npx skills add https://github.com/anajuliabit/aeon --skill deep-research-anajuliabit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Deep Research
Source: https://github.com/anajuliabit/aeon/tree/main/skills/deep-research
Command: npx skills add https://github.com/anajuliabit/aeon --skill deep-research-anajuliabit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

It solves the problem of producing trustworthy, decision-ready research on a topic by combining many sources into a credible synthesis with per-finding confidence and falsifiable claims.

Core Features & Use Cases

  • Multi-source credibility tiering (CRAAP-lite): Classifies each source by type (primary/secondary/tertiary) and scores it for Authority, Recency, and Verifiability to assign tiers (T1/T2/T3).
  • Confidence-calibrated findings: Assigns confidence to each finding based on corroboration, emphasizing analyst-grade evidence instead of single-source assertions.
  • Falsifiable claims & debate mapping: Includes a “Falsifiable claims” section and highlights contradictions with clearly labeled positions and supporting sources.
  • Depth modes: Shallow mode (~5 sources, ~600 words) for quick coverage, and deep mode (30–50 sources, 3,000–5,000 words) for exhaustive, high-signal reports.

Quick Start

Run the Deep Research skill with var set to your topic and optionally add --depth=shallow for a fast pass, or use deep for a comprehensive report (default).

Frequently Asked Questions about Deep Research

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

FAQPage Schema
How do I synthesize multiple web research sources with confidence levels?

To synthesize web research with confidence levels, you can generate multi-source reports that tier source credibility and assign per-finding confidence scores based on evidence corroboration. This process combines 5 to 50 sources into a decision-ready synthesis.

What is the best way to detect contradictions across multiple research sources?

To detect contradictions across research sources, you can map falsifiable claims and highlight conflicting positions with clearly labeled supporting evidence. This approach emphasizes analyst-grade evidence over single-source assertions.

Can I run a quick landscape scan using just a few sources?

Yes, you can run a quick landscape scan using a shallow depth mode that ingests about 5 sources to produce a roughly 600-word report. This provides fast topic coverage for quick analyst-grade discovery.

How does source credibility tiering work for evidence reviews?

Source credibility tiering for evidence reviews classifies sources as primary, secondary, or tertiary, then scores them on Authority, Recency, and Verifiability. This assigns credibility tiers like T1, T2, or T3 to each source.

What is the difference between shallow and deep depth modes for research synthesis?

Shallow mode synthesizes around 5 sources into 600 words for quick coverage, while deep mode ingests 30 to 50 sources to produce a 3,000 to 5,000-word exhaustive report. Both modes apply credibility tiering and per-finding confidence.

How do I structure a research report with falsifiable claims?

To structure a research report with falsifiable claims, you generate a structured format saved to an articles directory that includes explicit contradiction detection and debate mapping. This highlights opposing positions with their supporting sources.