A high-confidence search synthesis skill that aggregates evidence from web, academic, and technical sources via the AISA API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multi-search-zh
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install multi-search-zh using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Multi-Source Integrated Search (multi-search-zh)?
The multi-search-zh skill is a sophisticated research tool designed for AI agents that require more than just a single-point search result. By leveraging the AISA API, it pulls data from diverse layers including general web content, academic publications, and the Tavily search engine to build a comprehensive evidence base.
This skill is particularly valuable for Openclaw Skills users who need to generate conclusions backed by multiple verified sources. Instead of returning raw snippets, it focuses on synthesizing information to provide a unified answer with an associated confidence score, ensuring that the AI's output is both robust and reliable.
Multi-Source Integrated Search (multi-search-zh) Use Cases
- Conducting deep-dive research into emerging technology trends like open-source coding agents.
- Verifying facts across multiple independent sources to eliminate single-source bias.
- Gathering academic and technical evidence for comprehensive reports or documentation.
- Synthesizing broad queries that require a combination of general web data and structured search results.
How Multi-Source Integrated Search (multi-search-zh) Works
- The AI agent triggers the skill when a complex query requires multi-source verification rather than a simple lookup.
- The skill invokes the Python-based search client using the provided AISA API credentials.
- Data is concurrently fetched from the Web, Academic layers, and Tavily.
- The AISA analysis layer processes the gathered evidence to find overlaps and contradictions.
- The skill outputs a synthesized summary including a confidence level based on the consistency of the multi-source data.
Multi-Source Integrated Search (multi-search-zh) Setup
To use this skill within the Openclaw Skills ecosystem, ensure you have Python 3 installed and your API key configured:
# Set your AISA API Key
export AISA_API_KEY="your-key"
# Run the search client
python3 scripts/search_client.py
Multi-Source Integrated Search (multi-search-zh) Data Schema & Taxonomy
The skill organizes its output based on evidence synthesis and source reliability.
| Field | Description |
|---|---|
| Sources | List of origin URLs and academic citations used. |
| Analysis | The synthesized conclusion derived from multi-source cross-referencing. |
| Confidence | A calculated score representing the reliability of the output. |
| Metadata | Timestamps and layer-specific (Web/Tavily/Academic) identifiers. |
Multi-Source Integrated Search (multi-search-zh) Advanced Features
- Multi-Layer Analysis: Simultaneously queries web, academic, and Tavily databases.
- Confidence Scoring: Automatically evaluates the reliability of gathered evidence.
- AISA Integration: Direct hook into AISA's analytical layer for high-level synthesis.
- Privacy Guardrails: Built-in logic to prevent the accidental access of local sensitive data like cookies or keychains.
SKILL.md
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