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OpenClaw

search-intelligence-skill

Advanced AI-powered search skill using SearXNG as the universal search backend. Multi-engine dork generation, 90+ search engines, intelligent search strategies, intent parsing, result analysis, and adaptive query refinement. No API keys required.

elmaslouhymouaad0 source installs☆ 0 Repository stars

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 elmaslouhymouaad/search-intelligence-skill

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

search-intelligence-skill

Use search-intelligence-skill to give any AI agent the ability to search the entire internet like an expert OSINT analyst, SEO engineer, and security researcher combined. All searches flow through your SearXNG instance — zero API keys, full privacy, 90+ engines.

The skill generates optimized dork queries, selects intelligent multi-step search strategies, translates operators across engines, routes queries to the best SearXNG engines, scores results by multi-signal relevance, and learns from results to refine searches automatically.

Setup (once)

Install the package

# From source (recommended)
git clone https://github.com/mouaad-ops/search-intelligence-skill.git
cd search-intelligence-skill
pip install -e .

# Or direct pip
pip install search-intelligence-skill # NOT yet working

Start a SearXNG instance (if you don't have one)

# Docker (quickest)
docker run -d \
  --name searxng \
  -p 8888:8080 \
  -e SEARXNG_SECRET=your-secret-key \
  searxng/searxng:latest

# Verify it's running
curl http://localhost:8888/healthz

Enable JSON API in SearXNG settings

# In searxng/settings.yml — ensure search formats include json
search:
  formats:
    - html
    - json

Initialize in code

from search_intelligence_skill import SearchSkill

# Default — localhost:8888
skill = SearchSkill()

# Custom instance
skill = SearchSkill(
    searxng_url="http://localhost:8888",
    timeout=30.0,
    max_retries=2,
    rate_limit=0.5,
    verify_ssl=True,
    auto_refine=True,
    max_refine_rounds=1,
)

# Verify connection
if skill.health_check():
    print("✓ SearXNG is reachable")
else:
    print("✗ Cannot reach SearXNG — check URL and port")

Common Commands

Natural language search (the main interface)

from search_intelligence_skill import SearchSkill

skill = SearchSkill(searxng_url="http://localhost:8888")

# Just describe what you want — the skill handles everything:
#...

Source information

Source
github
Repository
openclaw/skills
Path
skills/elmaslouhymouaad/search-intelligence-skill
Version
—
Commit
9eaf807c31e48775f3811b60d2739dd5ab2904eb
Classification source
rules
Status
active
Visibility
public

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

README

🔍 search-intelligence-skill

Advanced AI-powered search skill using SearXNG as the universal search backend.

Zero API keys. Full privacy. 90+ engines. Intelligent dork generation.

Give any AI agent the ability to search the entire internet like an expert OSINT analyst, SEO engineer, and security researcher combined.

Features

Feature Description
Intent Parsing NLP-based classification into 14 intent categories (security, OSINT, SEO, academic, code, etc.)
Dork Generation 100+ dork templates with automatic entity extraction and template filling
90+ Engines Routes queries to the optimal SearXNG engines per intent
Multi-Step Strategies 8 strategy types: broad-to-narrow, OSINT chain, deep dive, temporal, file hunt, etc.
Cross-Engine Translation Translates operators between Google, Bing, Yandex, DuckDuckGo, Brave
Result Analysis Multi-signal relevance scoring, deduplication, credibility assessment
Auto-Refinement Detects poor results and automatically generates improved queries
LLM-Ready Output .to_context() formats results for AI agent consumption

Quick Start

pip install -e .
from search_intelligence_skill import SearchSkill

skill = SearchSkill(searxng_url="http://localhost:8888")

# Natural language → intelligent multi-engine search
report = skill.search("find exposed admin panels on example.com", depth="deep")
print(report.to_context())

# Top results as structured data
for r in report.top(5):
    print(f"[{r.relevance:.1f}] {r.title} — {r.url}")

Search Depths

Depth Queries Strategy Use Case
quick 1-2 Single-step Fast lookups
standard 3-6 Broad-to-narrow General searching
deep 6-12 Multi-angle / Deep dive Research, security audits
exhaustive 12+ OSINT chain / Full sweep Complete investigations

Intent Categories

The skill automatically detects:...

Extracted content

SKILL.md
# search-intelligence-skill

Use `search-intelligence-skill` to give any AI agent the ability to search the entire internet like an expert OSINT analyst, SEO engineer, and security researcher combined. All searches flow through your SearXNG instance — zero API keys, full privacy, 90+ engines.

The skill generates optimized dork queries, selects intelligent multi-step search strategies, translates operators across engines, routes queries to the best SearXNG engines, scores results by multi-signal relevance, and learns from results to refine searches automatically.

## Setup (once)

**Install the package**
```bash
# From source (recommended)
git clone https://github.com/mouaad-ops/search-intelligence-skill.git
cd search-intelligence-skill
pip install -e .

# Or direct pip
pip install search-intelligence-skill # NOT yet working
```

**Start a SearXNG instance (if you don't have one)**
```bash
# Docker (quickest)
docker run -d \
  --name searxng \
  -p 8888:8080 \
  -e SEARXNG_SECRET=your-secret-key \
  searxng/searxng:latest

# Verify it's running
curl http://localhost:8888/healthz
```

**Enable JSON API in SearXNG settings**
```yaml
# In searxng/settings.yml — ensure search formats include json
search:
  formats:
    - html
    - json
```

**Initialize in code**
```python
from search_intelligence_skill import SearchSkill

# Default — localhost:8888
skill = SearchSkill()

# Custom instance
skill = SearchSkill(
    searxng_url="http://localhost:8888",
    timeout=30.0,
    max_retries=2,
    rate_limit=0.5,
    verify_ssl=True,
    auto_refine=True,
    max_refine_rounds=1,
)

# Verify connection
if skill.health_check():
    print("✓ SearXNG is reachable")
else:
    print("✗ Cannot reach SearXNG — check URL and port")
```

## Common Commands

**Natural language search (the main interface)**
```python
from search_intelligence_skill import SearchSkill

skill = SearchSkill(searxng_url="http://localhost:8888")

# Just describe what you want — the skill handles everything:
#...
README
# 🔍 search-intelligence-skill

Advanced AI-powered search skill using SearXNG as the universal search backend.

**Zero API keys. Full privacy. 90+ engines. Intelligent dork generation.**

Give any AI agent the ability to search the entire internet like an expert
OSINT analyst, SEO engineer, and security researcher combined.

## Features

| Feature | Description |
|---|---|
| **Intent Parsing** | NLP-based classification into 14 intent categories (security, OSINT, SEO, academic, code, etc.) |
| **Dork Generation** | 100+ dork templates with automatic entity extraction and template filling |
| **90+ Engines** | Routes queries to the optimal SearXNG engines per intent |
| **Multi-Step Strategies** | 8 strategy types: broad-to-narrow, OSINT chain, deep dive, temporal, file hunt, etc. |
| **Cross-Engine Translation** | Translates operators between Google, Bing, Yandex, DuckDuckGo, Brave |
| **Result Analysis** | Multi-signal relevance scoring, deduplication, credibility assessment |
| **Auto-Refinement** | Detects poor results and automatically generates improved queries |
| **LLM-Ready Output** | `.to_context()` formats results for AI agent consumption |

## Quick Start

```bash
pip install -e .
```

```python
from search_intelligence_skill import SearchSkill

skill = SearchSkill(searxng_url="http://localhost:8888")

# Natural language → intelligent multi-engine search
report = skill.search("find exposed admin panels on example.com", depth="deep")
print(report.to_context())

# Top results as structured data
for r in report.top(5):
    print(f"[{r.relevance:.1f}] {r.title} — {r.url}")
```

## Search Depths

| Depth | Queries | Strategy | Use Case |
|---|---|---|---|
| `quick` | 1-2 | Single-step | Fast lookups |
| `standard` | 3-6 | Broad-to-narrow | General searching |
| `deep` | 6-12 | Multi-angle / Deep dive | Research, security audits |
| `exhaustive` | 12+ | OSINT chain / Full sweep | Complete investigations |

## Intent Categories

The skill automatically detects:...

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