academic-deep-researchTransparent, 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.
Install via ClawdBot CLI:
clawdbot install kesslerio/academic-deep-researchGrade Excellent — 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 user-controlled research methodology. The 'PROMPT_POISONING' signal is a misinterpretation of the skill's descriptive purpose statement, not an instruction to override system safety. The external GitHub link is for documentation and does not indicate active data exfiltration.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
A graduate student needs a comprehensive review of recent studies on climate change adaptation strategies in agriculture. The skill's mandated two-cycle research per theme ensures thorough coverage of peer-reviewed sources, while APA 7th citations and evidence hierarchy support academic rigor for thesis writing.
A startup in the fintech sector requires an exhaustive analysis of emerging competitors and market trends. The skill's parallel research tracks via sessions_spawn allow simultaneous investigation of multiple themes, such as product features and regulatory landscapes, with full methodology transparency for strategic decision-making.
A policy analyst needs to verify claims and gather multi-source evidence on the effectiveness of telemedicine adoption post-pandemic. The skill's three user checkpoints ensure alignment on depth and focus, while web_fetch enables deep extraction from government reports and academic journals for reliable insights.
A marketing team seeks a detailed report on consumer behavior shifts in e-commerce during economic downturns. The skill's structured phases, including initial engagement and research planning, help clarify geographic focuses and source preferences, leading to exhaustive analysis with documented contradictions.
A law firm requires rigorous research on precedent cases and statutory interpretations for a complex litigation matter. The skill's evidence trail per conclusion and analysis of limitations support thorough verification of claims, using web_search with count=20 for comprehensive coverage of legal databases.
Offer monthly or annual subscriptions for businesses and academics to access deep research reports. Revenue is generated through tiered pricing based on report complexity and frequency, leveraging the skill's reproducibility and APA citations for high-value deliverables.
Provide bespoke research services for clients needing tailored investigations, such as competitive intelligence or literature reviews. Revenue comes from project-based fees, with the skill's three stop points ensuring client alignment and transparent methodology throughout engagements.
License the skill to academic institutions or corporate research platforms as an add-on tool. Revenue is generated through licensing fees or usage-based pricing, capitalizing on the skill's self-contained nature using native OpenClaw tools for seamless integration.
💬 Integration Tip
Ensure clear communication of the three stop points to users upfront to manage expectations and leverage sessions_spawn for parallel research to optimize efficiency in multi-theme investigations.
Scored Apr 16, 2026
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