research-cog

#1 on DeepResearch Bench (Feb 2026). Deep research agent powered by CellCog. Market research, competitive analysis, stock analysis, investment research, acad...

Security Scan

The skill is an instruction-only wrapper that delegates deep research work to the CellCog skill/SDK; its requirements and instructions are coherent, but you should audit the referenced CellCog skill before use because this skill depends on it.

Purpose & Capability

Name/description claim a CellCog-powered research agent and the SKILL.md consistently instructs use of the cellcog skill/SDK (including a client.create_chat example). There are no unrelated env vars, binaries, or surprising requirements; the requested capability matches the declared purpose.

Instruction Scope

Instructions are limited to installing/using the cellcog skill, choosing chat modes, and formatting research output (citations, report types). They do not ask the agent to read arbitrary files, harvest unrelated environment variables, or transmit data to unexpected endpoints. Note: citations are off by default and must be explicitly requested.

Install Mechanism

This skill is instruction-only (no install spec), but it tells you to run 'clawhub install cellcog' and depends on the cellcog skill. That means runtime behavior and network calls will come from the other skill/package — review the cellcog skill's install/content before installing, since this skill itself doesn't include or pin code.

Credentials

This skill declares no required environment variables or credentials. However, real network access and credentials (API keys, credits) will likely be required by the referenced CellCog SDK — those are not requested here and should be audited when you install cellcog.

Persistence & Privilege

always is false and model invocation is not disabled (the platform default). The skill does not request permanent/global privileges or modifications to other skills. Autonomous invocation is normal; there are no additional privilege flags here.

Assessment

This skill itself is a coherent instruction-only wrapper that delegates work to the CellCog SDK; it's low-risk in isolation. Before installing or using it: (1) Inspect and audit the referenced 'cellcog' skill (clawhub install cellcog) because that code will perform network calls and may require credentials/credits. (2) Treat any queries as data you will send to CellCog's service — do not submit sensitive or proprietary data unless you trust their privacy/security terms. (3) Explicitly request citations when you need verifiable sources (they are off by default). (4) Test with non-sensitive queries and confirm cost/credit behavior for 'agent team max' modes before running high-volume or high-stakes research.

Research Cog - Deep Research Powered by CellCog

#1 on DeepResearch Bench (Feb 2026). Your AI research analyst for comprehensive, citation-backed research on any topic.

Leaderboard: https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard

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Prerequisites

This skill requires the cellcog skill for SDK setup and API calls.

clawhub install cellcog

Read the cellcog skill first for SDK setup. This skill shows you what's possible.

Quick pattern (v1.0+):

# Fire-and-forget - returns immediately
result = client.create_chat(
    prompt="[your research query]",
    notify_session_key="agent:main:main",
    task_label="research-task",
    chat_mode="agent team"  # Deep research
)
# Daemon notifies you when complete - do NOT poll

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What You Can Research

Competitive Analysis

Analyze companies against their competitors with structured insights:

• Company vs. Competitors: "Compare Stripe vs Square vs Adyen - market positioning, pricing, features, strengths/weaknesses"
• SWOT Analysis: "Create a SWOT analysis for Shopify in the e-commerce platform market"
• Market Positioning: "How does Notion position itself against Confluence, Coda, and Obsidian?"
• Feature Comparison: "Compare the AI capabilities of Salesforce, HubSpot, and Zoho CRM"

Market Research

Understand markets, industries, and trends:

• Industry Analysis: "Analyze the electric vehicle market in Europe - size, growth, key players, trends"
• Market Sizing: "What's the TAM/SAM/SOM for AI-powered customer service tools in North America?"
• Trend Analysis: "What are the emerging trends in sustainable packaging for 2026?"
• Customer Segments: "Identify and profile the key customer segments for premium pet food"
• Regulatory Landscape: "Research FDA regulations for AI-powered medical devices"

Stock & Investment Analysis

Financial research with data and analysis:

• Company Fundamentals: "Analyze NVIDIA's financials - revenue growth, margins, competitive moat"
• Investment Thesis: "Build an investment thesis for Microsoft's AI strategy"
• Sector Analysis: "Compare semiconductor stocks - NVDA, AMD, INTC, TSM"
• Risk Assessment: "What are the key risks for Tesla investors in 2026?"
• Earnings Analysis: "Summarize Apple's Q4 2025 earnings and forward guidance"

Academic & Technical Research

Deep dives with proper citations:

• Literature Review: "Research the current state of quantum error correction techniques"
• Technology Deep Dive: "Explain transformer architectures and their evolution from attention mechanisms"
• Scientific Topics: "What's the latest research on CRISPR gene editing for cancer treatment?"
• Historical Analysis: "Research the history and impact of the Bretton Woods system"

Due Diligence

Comprehensive research for decision-making:

• Startup Due Diligence: "Research [Company Name] - founding team, funding, product, market, competitors"
• Vendor Evaluation: "Compare AWS, GCP, and Azure for enterprise AI/ML workloads"
• Partnership Analysis: "Research potential risks and benefits of partnering with [Company]"

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Research Output Formats

CellCog can deliver research in multiple formats:

Format	Best For
Interactive HTML Report	Explorable dashboards with charts, expandable sections
PDF Report	Shareable, printable professional documents
Markdown	Integration into your docs/wikis
Plain Response	Quick answers in chat

Specify your preferred format in the prompt:

• "Create an interactive HTML report on..."
• "Generate a PDF research report analyzing..."
• "Give me a markdown summary of..."

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Chat Mode for Research

Scenario	Recommended Mode
Trivial lookups, basic facts	"agent"
Deep research, competitive analysis, market research, investment analysis	"agent team"
Cutting-edge academic research, high-stakes due diligence, institutional-grade analysis	"agent team max"

Use "agent team" for most research (the default). Agent team mode enables multi-source research, cross-referencing, citation verification, and deeper analysis with multiple reasoning passes.

Use "agent" only for trivial lookups like "What's Apple's stock ticker?"

Use "agent team max" for cutting-edge academic research and high-stakes due diligence — when the research directly informs costly decisions (investment thesis, M&A, regulatory compliance, PhD-level analysis). All settings maxed for the deepest reasoning. The quality gain is incremental but meaningful when accuracy is critical. Requires ≥2,000 credits.

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Research Quality Features

Citations (On Request)

Citations are NOT automatic. CellCog focuses on delivering accurate, well-researched content by default.

If you need citations:

• Explicitly request them: "Include citations for all factual claims with source URLs"
• Specify format: "Provide citations as footnotes" or "Include a references section at the end"
• Indicate placement: "Citations inline" vs "Citations in appendix"

Without explicit citation requests, CellCog prioritizes delivering accurate information efficiently.

Data Accuracy

CellCog cross-references multiple sources for financial and statistical data, ensuring accuracy even without explicit citations.

Structured Analysis

Complex research is organized with clear sections, executive summaries, and actionable insights.

Visual Elements

Research reports can include:

• Charts and graphs
• Comparison tables
• Timeline visualizations
• Market maps

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Example Research Prompts

Quick competitive intel:

"Compare Figma vs Sketch vs Adobe XD for enterprise UI design teams. Focus on collaboration features, pricing, and Figma's position after the Adobe acquisition failed."

Deep market research:

"Create a comprehensive market research report on the AI coding assistant market. Include market size, growth projections, key players (GitHub Copilot, Cursor, Codeium, etc.), pricing models, and enterprise adoption trends. Deliver as an interactive HTML report."

Investment analysis:

"Build an investment analysis for Palantir (PLTR). Cover business model, government vs commercial revenue mix, AI product strategy, valuation metrics, and key risks. Include relevant charts."

Academic deep dive:

"Research the current state of nuclear fusion energy. Cover recent breakthroughs (NIF, ITER, private companies like Commonwealth Fusion), technical challenges remaining, timeline to commercial viability, and investment landscape."

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Tips for Better Research

1. Be specific: "AI market" is vague. "Enterprise AI automation market in healthcare" is better.

2. Specify timeframe: "Recent" is ambiguous. "2025-2026" or "last 6 months" is clearer.

3. Define scope: "Compare everything about X and Y" leads to bloat. "Compare X and Y on pricing, features, and market positioning" is focused.

4. Request structure: "Include executive summary, key findings, and recommendations" helps organize output.

5. Mention output format: "Deliver as PDF" or "Create interactive HTML dashboard" gets you the right format.