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OpenClaw

openclaw-search

Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API.

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Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install aisapay/aisa-multi-source-search

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Skill instructions

OpenClaw Search 🔍

Intelligent search for autonomous agents. Powered by AIsa.

One API key. Multi-source retrieval. Confidence-scored answers.

Inspired by AIsa Verity - A next-generation search agent with trust-scored answers.

🔥 What Can You Do?

Research Assistant
"Search for the latest papers on transformer architectures from 2024-2025"
Market Research
"Find all web articles about AI startup funding in Q4 2025"
Competitive Analysis
"Search for reviews and comparisons of RAG frameworks"
News Aggregation
"Get the latest news about quantum computing breakthroughs"
Deep Dive Research
"Smart search combining web and academic sources on 'autonomous agents'"

Quick Start

export AISA_API_KEY="your-key"

🏗️ Architecture: Multi-Stage Orchestration

OpenClaw Search employs a Two-Phase Retrieval Strategy for comprehensive results:

Phase 1: Discovery (Parallel Retrieval)

Query 4 distinct search streams simultaneously:

  • Scholar: Deep academic retrieval
  • Web: Structured web search
  • Smart: Intelligent mixed-mode search
  • Tavily: External validation signal
Phase 2: Reasoning (Meta-Analysis)

Use AIsa Explain to perform meta-analysis on search results, generating:

  • Confidence scores (0-100)
  • Source agreement analysis
  • Synthesized answers
┌─────────────────────────────────────────────────────────────┐
│                      User Query                              │
└─────────────────────────────────────────────────────────────┘
                              │
              ┌───────────────┼───────────────┐
              ▼               ▼               ▼
        ┌─────────┐     ┌─────────┐     ┌─────────┐
        │ Scholar │     │   Web   │     │  Smart  │
        └─────────┘     └─────────┘     └─────────┘
              │...

Source information

Source
github
Repository
openclaw/skills
Path
skills/aisapay/aisa-multi-source-search
Version
—
Commit
680ea1db80be79cdb3235a6e8d5ef75c65ddfb11
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# OpenClaw Search 🔍

**Intelligent search for autonomous agents. Powered by AIsa.**

One API key. Multi-source retrieval. Confidence-scored answers.

> Inspired by [AIsa Verity](https://github.com/AIsa-team/verity) - A next-generation search agent with trust-scored answers.

## 🔥 What Can You Do?

### Research Assistant
```
"Search for the latest papers on transformer architectures from 2024-2025"
```

### Market Research
```
"Find all web articles about AI startup funding in Q4 2025"
```

### Competitive Analysis
```
"Search for reviews and comparisons of RAG frameworks"
```

### News Aggregation
```
"Get the latest news about quantum computing breakthroughs"
```

### Deep Dive Research
```
"Smart search combining web and academic sources on 'autonomous agents'"
```

## Quick Start

```bash
export AISA_API_KEY="your-key"
```

---

## 🏗️ Architecture: Multi-Stage Orchestration

OpenClaw Search employs a **Two-Phase Retrieval Strategy** for comprehensive results:

### Phase 1: Discovery (Parallel Retrieval)

Query 4 distinct search streams simultaneously:
- **Scholar**: Deep academic retrieval
- **Web**: Structured web search
- **Smart**: Intelligent mixed-mode search
- **Tavily**: External validation signal

### Phase 2: Reasoning (Meta-Analysis)

Use **AIsa Explain** to perform meta-analysis on search results, generating:
- Confidence scores (0-100)
- Source agreement analysis
- Synthesized answers

```
┌─────────────────────────────────────────────────────────────┐
│                      User Query                              │
└─────────────────────────────────────────────────────────────┘
                              │
              ┌───────────────┼───────────────┐
              ▼               ▼               ▼
        ┌─────────┐     ┌─────────┐     ┌─────────┐
        │ Scholar │     │   Web   │     │  Smart  │
        └─────────┘     └─────────┘     └─────────┘
              │...

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