Quick overview
Conducts multi-phase academic research using a fixed methodology: two full research cycles per theme, APA 7th edition citations, evidence hierarchy annotations, and three mandatory user checkpoints before the final report. Runs entirely on native OpenClaw tools without external API dependencies.
The mandated two-cycle structure and explicit evidence hierarchy force gap identification and source cross-referencing that single-pass AI research tools skip entirely.
Common tasks
- Literature review for a graduate thesis on a contested scientific topic
- Competitive intelligence report on market players before a product launch
- Fact-checking a news article's claims against primary sources
- Synthesizing research on a medical treatment before a patient consultation
- Trend analysis across multiple domains for a strategic planning document
Install paths
Primary command
openclaw install kesslerio/academic-deep-research
ClawHub installer
npx clawhub@latest install kesslerio/academic-deep-research
OpenClaw CLI
openclaw skills install kesslerio/academic-deep-research
Direct OpenClaw install
openclaw install kesslerio/academic-deep-research
Skill metadata
- Category: Search & Research
- Language: Markdown
- Version: 1.0.0
- Security status: Benign
Review upstream source
The full public SKILL.md body is not directly fetchable for this entry right now, so this page is using the best available catalog metadata. Review the upstream source page for the latest files, version history, and security scan details: https://clawhub.ai/kesslerio/academic-deep-research