academic-deep-research-1-0-0Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per t...
Install via ClawdBot CLI:
clawdbot install dujch/academic-deep-research-1-0-0Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"Your purpose is"Calls external URL not in known-safe list
https://github.com/kesslerio/academic-deep-research-clawhub-skillAI Analysis
The skill's structure is transparent and focused on a controlled research workflow with user checkpoints. The external GitHub link is for documentation, not an active API call, and the prompt instructions define role and methodology but do not contain commands to override system safety or exfiltrate data.
Audited Apr 16, 2026 · audit v1.0
Generated Apr 8, 2026
Conducts exhaustive literature reviews for researchers or students, systematically gathering and synthesizing peer-reviewed articles, identifying key themes, contradictions, and gaps in existing knowledge with APA 7th citations. Ideal for thesis preparation or grant proposals requiring rigorous, reproducible methodology.
Performs deep competitive analysis for businesses by investigating multiple themes like market trends, competitor strategies, and product features through mandated research cycles. Provides evidence-based insights with full transparency, aiding strategic decision-making and identifying opportunities or threats.
Verifies claims or news by conducting multi-source investigations, documenting evidence trails, and analyzing contradictions from diverse sources. Ensures accuracy and reliability for journalists, content creators, or organizations needing rigorous validation of information.
Generates comprehensive market trend reports by exhaustively researching themes like consumer behavior, technological advancements, and regulatory changes. Uses parallel research tracks for simultaneous analysis, delivering structured insights with citations for stakeholders in dynamic industries.
Supports policy development by investigating complex societal issues through systematic research cycles, gathering data from academic and governmental sources. Identifies key patterns, limitations, and evidence hierarchies to inform evidence-based policy recommendations.
Offers monthly or annual subscriptions for organizations needing ongoing deep research, such as competitive intelligence or literature reviews. Revenue is generated through tiered pricing based on research depth, frequency, and customization, with add-ons for priority access or specialized reports.
Provides one-off research projects for clients like academics or businesses, charging fixed or hourly rates for exhaustive investigations. Revenue comes from project-based fees, with pricing scaled by complexity, themes, and deliverables like APA-formatted reports or presentations.
Licenses the skill package to large enterprises for internal use by teams like R&D or strategy departments, enabling self-service deep research. Revenue is generated through annual licensing fees, with additional support, training, or customization options as upsells.
💬 Integration Tip
Integrate by using the /research command or triggering the skill for complex queries, ensuring user checkpoints are respected to align outputs with specific needs and constraints.
Scored Apr 28, 2026
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
Deep multi-source research via Parallel API. Use when user explicitly asks for thorough research, comprehensive analysis, or investigation of a topic. For quick lookups or news, use parallel-search instead.
AI deep research powered by CellCog. Market research, competitive analysis, investment research, academic research, due diligence, literature reviews with ci...
Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run), structu...