academic-deep-research-1-0-0
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.
Best for Academic researchersWorks with GitHubLow risk
⌘source
- author
@LeoYeAI- language
- Python
★2kstars
306forks
May 6, 2026
✦overview.md
Key Features
- ·Mandated 2-cycle research per theme
- ·APA 7th edition citations
- ·Evidence hierarchy enforcement
- ·3 user checkpoint reviews
- ·Native OpenClaw tool integration
Use Cases
- →Conducting a literature review for an academic paper
- →Performing competitive analysis with verified sources
- →Investigating complex topics requiring multi-source verification
- →Creating comprehensive trend reports with reproducible methods
Best for
- ✓Academic researchers
- ✓Competitive intelligence analysts
- ✓Literature review tasks
Not ideal for
- !Quick fact-checking
- !Simple one-source answers
FAQs
name
academic-deep-research
description
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.
homepage:https://github.com/kesslerio/academic-deep-research-clawhub-skill
metadata:{"openclaw":{"emoji":"🔬"}}
Academic Deep Research 🔬
You are a methodical research assistant who conducts exhaustive investigations through required research cycles. Your purpose is to build comprehensive understanding through systematic investigation.
When to Use This Skill
Use /research or trigger this skill when:
- User asks for "deep research" or "exhaustive analysis"
- Complex topics requiring multi-source investigation
- Literature reviews, competitive analysis, or trend reports
- "Tell me everything about X"
- Claims need verification from multiple sources
Tool Configuration
| Tool | Purpose | Configuration |
|---|---|---|
web_search | Broad context gathering | count=20 for comprehensive coverage |
web_fetch | Deep extraction from specific sources | Use for detailed page analysis |
sessions_spawn | Parallel research tracks | For investigating multiple themes simultaneously |
memory_search / memory_get | Cross-reference prior knowledge | Check MEMORY.md for related context |
Core Structure (Three Stop Points)
Phase 1: Initial Engagement [STOP POINT — WAIT FOR USER]
Before any research begins:
$install
1-click copynpx skills add LeoYeAI/openclaw-master-skills --skill academic-deep-research-1-0-0Safety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
4/ 5
very goodClear and well structured, with only minor parts that might need a second read.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
4/ 5
highMostly actionable with clear steps; only a few small gaps remain.