Setup & Installation
openclaw skills install @kassimisai/web-searcher
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install web-searcher
What This Skill Does
An autonomous research agent that breaks queries into targeted searches, fetches and reads source pages, cross-references findings, and returns structured reports with citations and confidence levels.
Handles multi-step web research in one pass rather than requiring manual searching, tab-switching, and summarizing across sources.
When to use it
- Comparing pricing across SaaS tools
- Researching a company before a job interview
- Finding recent news on a niche technical topic
- Compiling a list of open-source alternatives to a paid product
- Verifying a claim against multiple sources
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: 'What are the top open-source vector databases and how do they compare on performance?'
AGENT
- 1Break query into targeted searches: 'open-source vector databases 2024', 'pgvector vs Weaviate vs Qdrant benchmark', 'Chroma vs Milvus comparison'
- 2Run up to 3 searches, assess result quality
- 3Fetch full content from 2-3 authoritative pages (docs, benchmarks, technical blogs)
- 4Cross-reference findings, flag contradictions, note consensus on performance metrics
- 5Synthesize into a comparison table with sources and confidence levels
OUTPUT
Structured report with key findings, a comparison table, cited URLs, and a note on which claims have limited sourcing