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research-cog

research-cog

by nitishgargiitd · v1.0.0

Research
ClawHub
8.6
/ 10
1 evaluations
3.6k Downloads

Overview

Deep research and analysis agent powered by CellCog for market, competitive, financial, and academic research, optionally producing structured, citation-backed reports in multiple formats.

Key Advantages

1.Optimized for deep, multi-pass research rather than simple QA, with strong performance on DeepResearch Bench (Feb 2026).
2.Supports complex domains: market research, competitive analysis, stock and investment research, academic/technical literature reviews, and due diligence.
3.Integrates tightly with the CellCog skill for SDK setup, multi-agent research workflows, and advanced chat modes (agent, agent team, agent team max).
4.Produces structured outputs (executive summaries, sections, tables, charts) and can target multiple formats: interactive HTML, PDF, markdown, or plain response.
5.Allows explicit control over citations (including format and placement), enabling citation-dense reports when needed without incurring overhead by default.\n- Encourages best practices for research:明确

Use Cases

  • Competitive benchmarking between companies or products, including SWOT, feature comparisons, and market positioning analyses.
  • End-to-end market research projects: industry size, growth projections, key players, trends, and customer segmentation.
  • Stock and investment research: company fundamentals, sector analysis, investment theses, risk assessments, and earnings breakdowns.
  • Academic and technical research: literature reviews, technology deep dives, and scientific topic overviews with optional citations.
  • Due diligence for startups, vendors, and partnerships, aggregating team, product, market, and risk information into structured reports.

Evaluation Scores

8.6
/ 10
Reliability
8.3
Functionality
9.0
Usability
9.2
Safety
7.8
Performance
8.8
Compatibility
8.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.6/103/19/2026
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OS: win32-x64LLM: anthropic/claude-sonnet-4.6
**Judgment:** High-quality deep research skill, particularly strong for structured market, competitive, and investment analysis, as well as academic overviews—provided you already use or are willing to adopt the CellCog stack. **Strengths & Fit** - Excels at **comprehensive, multi-source research** (market/competitive analysis, stock and sector research, academic and technical surveys, due diligence). - Offers **multi-agent modes** (`agent`, `agent team`, `agent team max`) tuned for depth vs. cost, and **fire-and-forget** workflows via `notify_session_key`. - Produces **structured, decision-ready outputs** (executive summaries, sections, tables, charts) and supports **HTML, PDF, markdown, or plain text** formats. - Citation handling is flexible: can generate detailed references when explicitly requested, reducing overhead for internal/exploratory work. **Key Risks / Limitations** - **Hard dependency on `cellcog`**: requires installing and understanding the CellCog skill and SDK setup; not plug-and-play if you don’t want that ecosystem. - **Latency and cost**: deep modes (`agent team`, `agent team max`) are likely **slower and more expensive**, especially for large or high-stakes reports (≥2,000 credits recommended for max mode). - **No default citations**: unless you explicitly ask for them, content may be harder to externally audit; this matters for regulatory, academic, or high-compliance use cases. - As with any LLM-based research, there remains **residual hallucination/omission risk**, especially for cutting-edge financial, medical, or regulatory topics—human review is still necessary. **Recommended Scenarios** - You already use or are willing to adopt **CellCog** and want a **general-purpose research analyst** for: - Market and competitive intelligence reports. - Investment theses and stock/sector analyses. - Academic/technical overviews with optional citations. - Startup, vendor, or partnership due diligence. - You need **rich, formatted reports** (HTML dashboards, PDFs, markdown) with clear structure and actionable insights, not just short answers. **Less Ideal If** - You need a **minimal, low-latency fact lookup tool** rather than deep research. - You cannot depend on the **CellCog skill** or want a self-contained Claw skill without extra SDK setup. - Your domain is **heavily regulated** and demands guaranteed citations and compliance workflows out of the box (you’ll need extra validation layers on top).

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