agentCLAWHUBUnverified
Sr
Conducts classified, multi-source research from quick lookups to deep academic analysis with prioritized credible sources and tailored report formats.
OpenClaw
Rank
62
Safety
84
Downloads
1.3k
Updated
Oct 10, 2026
Version
1.0.0
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.3K downloads reported by the source. Last updated 10/10/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.3K downloadsadoption · observed Oct 10, 2026
- Latest release
- 1.0.0release · observed Feb 15, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17fhz4zhpt7ak28aaembt0hph8859pq:super-research- Install using `clawhub skill install s17fhz4zhpt7ak28aaembt0hph8859pq:super-research` in an isolated environment before connecting it to live workloads.
- No published capability contract is available yet, so validate auth and request/response behavior manually.
- Review the upstream CLAWHUB listing at https://clawhub.ai/heldinhow/super-research before using production credentials.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-heldinhow-super-research/snapshot"
Documentation
CLAWHUB
5,697 characters of source documentation, loaded on request.
Extracted files
4 files captured from the source.
SKILL.md
# Super Research **The ultimate AI research system.** Combines the best of 8 top-rated research skills into one powerful framework. --- ## Why This Skill? This skill handles any research task from quick lookups to deep academic analysis. It knows when to use which approach. --- ## Core Features ### 1. Research Classification Determine research type and pick right approach: - **Quick lookup** - Fast web search - **Deep research** - Multi-source exhaustive analysis - **Academic** - Scholarly sources, citations - **Parallel** - Multiple topics simultaneously ### 2. Source Types (from research-engine) - Web search - News - GitHub - Academic papers - Developer documentation ### 3. Quality Hierarchy (from deep-research-pro) Priority order: 1. Academic / Official / Reputable news 2. Technical blogs 3. Forums / Discussions ### 4. Output Formats - Executive summary - Key findings with sources - Actionable insights - Trend analysis - Development plans (short/medium/long) --- ## Usage ### Quick Research ``` Search for: "OpenCode vs Cursor 2026 comparison" ``` ### Deep Research ``` Research topic: "AI agents in software development" Depth: Executive summary + technical deep-dive Format: Report with sources ``` ### Academic Research ``` Theme: Impact of AI on developer productivity Key questions: - What studies exist? - Methodology? - Results? Format: Literature review ``` --- ## Workflow 1. **Classify** - Quick or deep? 2. **Plan** - Keywords, sources, angle 3. **Search** - Use multiple sources 4. **Analyze** - Extract key points 5. **Synthesize** - Combine into report 6. **Cite** - Include sources --- ## Best Sources | Type | Source | |------|--------| | Web | Google, Bing | | News | Tech news sites | | Code | GitHub | | Academic | arXiv, papers | | Docs | MDN, Dev docs | --- ## Merged From | Skill | Rating | |-------|--------| | academic-deep-research | 3.431 | | deep-research-pro | 3.420 | | parallel-ai-research | 3.379 | | research-engine | 3.376 | | research-cog | 3.373 | | research-tracker | 3.368 | | parallel-deep-research | 3.360 | | in-depth-research | 3.354 | --- ## Version v1.0.0 - Initial release
super-research/SKILL.md
# Super Research **The ultimate AI research system.** Combines the best of 8 top-rated research skills into one powerful framework. --- ## Why This Skill? This skill handles any research task from quick lookups to deep academic analysis. It knows when to use which approach. --- ## Core Features ### 1. Research Classification Determine research type and pick right approach: - **Quick lookup** - Fast web search - **Deep research** - Multi-source exhaustive analysis - **Academic** - Scholarly sources, citations - **Parallel** - Multiple topics simultaneously ### 2. Source Types (from research-engine) - Web search - News - GitHub - Academic papers - Developer documentation ### 3. Quality Hierarchy (from deep-research-pro) Priority order: 1. Academic / Official / Reputable news 2. Technical blogs 3. Forums / Discussions ### 4. Output Formats - Executive summary - Key findings with sources - Actionable insights - Trend analysis - Development plans (short/medium/long) --- ## Usage ### Quick Research ``` Search for: "OpenCode vs Cursor 2026 comparison" ``` ### Deep Research ``` Research topic: "AI agents in software development" Depth: Executive summary + technical deep-dive Format: Report with sources ``` ### Academic Research ``` Theme: Impact of AI on developer productivity Key questions: - What studies exist? - Methodology? - Results? Format: Literature review ``` --- ## Workflow 1. **Classify** - Quick or deep? 2. **Plan** - Keywords, sources, angle 3. **Search** - Use multiple sources 4. **Analyze** - Extract key points 5. **Synthesize** - Combine into report 6. **Cite** - Include sources --- ## Best Sources | Type | Source | |------|--------| | Web | Google, Bing | | News | Tech news sites | | Code | GitHub | | Academic | arXiv, papers | | Docs | MDN, Dev docs | --- ## Merged From | Skill | Rating | |-------|--------| | academic-deep-research | 3.431 | | deep-research-pro | 3.420 | | parallel-ai-research | 3.379 | | research-engine | 3.376 | | research-cog | 3.373 | | research-tracker | 3.368 | | parallel-deep-research | 3.360 | | in-depth-research | 3.354 | --- ## Version v1.0.0 - Initial release
_meta.json
{
"ownerId": "kn74nrx32v4n0423jptzg1v5kx80ssnf",
"slug": "super-research",
"version": "1.0.0",
"publishedAt": 1771121645490
}super-research/_meta.json
{
"slug": "super-research",
"version": "1.0.0",
"description": "Ultimate research framework combining best of top-rated skills"
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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