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perplexica-search

AI-powered search using your local Perplexica instance. Runs deep research (quality mode) with web search and LLM reasoning; returns answers with cited sources in OpenClaw while keeping search/RAG state in Perplexica. Use when the user asks to "search with Perplexica", "ask Perplexica", "deep search", "research with sources", or wants AI search with citations. Local-only; no data exfiltration.

eplt0 来源安装数☆ 0 仓库 Starsv1.0.3

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install eplt/perplexica-search-local

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Perplexica Search Skill

AI-powered search using your local Perplexica instance. This skill calls Perplexica's search API for deep research (quality mode), returns the answer and cited sources in OpenClaw, and leaves search/RAG state in Perplexica. Local-only: only localhost, 127.0.0.1, ::1, or host.docker.internal (Docker) are allowed; remote URLs are rejected. HTTP redirects are not followed, so the client cannot be sent to a non-local host.

When to Use

Use this skill when the user wants to:

  • Search the web with AI-powered reasoning
  • Get answers with cited sources
  • Perform deep research on a topic (use --mode quality)
  • Search academic papers or discussions
  • Use a local, privacy-focused search engine
  • Get structured search results with metadata

Prerequisites

  • python3 (required to run the script)
  • Perplexica running locally (default: http://localhost:3000)
  • At least one chat model provider configured in Perplexica
  • At least one embedding model configured

Usage

Run the script by path; do not rely on cd to the skill directory. The script finds its config from its own location. Use the skill directory your environment provides (e.g. {baseDir} or the path where this skill is installed).

# Basic search (replace <SKILL_DIR> with the actual skill path, e.g. ~/.openclaw/skills/perplexica-search or {baseDir})
python3 <SKILL_DIR>/scripts/perplexica_search.py "What is quantum computing?"

# Specify optimization mode
python3 <SKILL_DIR>/scripts/perplexica_search.py "Latest AI developments" --mode quality

# Search specific sources
python3 <SKILL_DIR>/scripts/perplexica_search.py "Machine learning papers" --sources academic

# Different local port or Docker host (allowed: localhost, 127.0.0.1, ::1, host.docker.internal)
python3 <SKILL_DIR>/scripts/perplexica_search.py "Climate change research" --url http://127.0.0.1:3000
python3 <SKILL_DIR>/scripts/perplexica_search.py "Query" --url http://host.docker.internal:...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/eplt/perplexica-search-local
Version
1.0.3
Commit
1532bc29ecf88f579698b2efb73c33d1b2c6208d
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

Perplexica Search Skill 🔍

An OpenClaw skill that runs AI-powered search against your local Perplexica instance. Uses deep research (quality mode), web search, and LLM reasoning to return answers with cited sources in OpenClaw while keeping search/RAG state in Perplexica.

Local-only: only localhost, 127.0.0.1, ::1, or host.docker.internal (Docker) are allowed; remote URLs are rejected. HTTP redirects are not followed.

Installation

# From ClawHub (when published)
clawhub install perplexica-search

# From GitHub
git clone https://github.com/eplt/perplexica-search.git ~/.openclaw/skills/perplexica-search

Prerequisites

  • python3 (required)
  • Perplexica running locally (default: http://localhost:3000)
  • At least one chat model provider configured in Perplexica
  • Python 3.8+

Quick Start

# Basic search
python3 scripts/perplexica_search.py "What is quantum computing?"

# Quality mode with academic sources
python3 scripts/perplexica_search.py "Transformer architecture 2024" --mode quality --sources academic

# JSON output for programmatic use
python3 scripts/perplexica_search.py "Python async best practices" --json

Usage

usage: perplexica_search.py [-h] [-u URL] [-m {speed,balanced,quality}]
                            [-s SOURCES] [--chat-model CHAT_MODEL]
                            [--embedding-model EMBEDDING_MODEL]
                            [-i INSTRUCTIONS] [--history HISTORY] [-j]
                            [--stream]
                            query

AI-powered search using local Perplexica instance

positional arguments:
  query                 Search query

options:
  -h, --help            show this help message and exit
  -u URL, --url URL     Local Perplexica base URL only (default: http://localhost:3000). Allowed: localhost, 127.0.0.1, ::1, host.docker.internal.
  -m {speed,balanced,quality}, --mode {speed,balanced,q...

来源内容

SKILL.md
# Perplexica Search Skill

AI-powered search using your **local** Perplexica instance. This skill calls Perplexica's search API for deep research (quality mode), returns the answer and cited sources in OpenClaw, and leaves search/RAG state in Perplexica. **Local-only**: only `localhost`, `127.0.0.1`, `::1`, or `host.docker.internal` (Docker) are allowed; remote URLs are rejected. HTTP redirects are not followed, so the client cannot be sent to a non-local host.

## When to Use

Use this skill when the user wants to:

- Search the web with AI-powered reasoning
- Get answers with cited sources
- Perform deep research on a topic (use `--mode quality`)
- Search academic papers or discussions
- Use a local, privacy-focused search engine
- Get structured search results with metadata

## Prerequisites

- **python3** (required to run the script)
- Perplexica running locally (default: `http://localhost:3000`)
- At least one chat model provider configured in Perplexica
- At least one embedding model configured

## Usage

Run the script by **path**; do not rely on `cd` to the skill directory. The script finds its config from its own location. Use the skill directory your environment provides (e.g. `{baseDir}` or the path where this skill is installed).

```bash
# Basic search (replace <SKILL_DIR> with the actual skill path, e.g. ~/.openclaw/skills/perplexica-search or {baseDir})
python3 <SKILL_DIR>/scripts/perplexica_search.py "What is quantum computing?"

# Specify optimization mode
python3 <SKILL_DIR>/scripts/perplexica_search.py "Latest AI developments" --mode quality

# Search specific sources
python3 <SKILL_DIR>/scripts/perplexica_search.py "Machine learning papers" --sources academic

# Different local port or Docker host (allowed: localhost, 127.0.0.1, ::1, host.docker.internal)
python3 <SKILL_DIR>/scripts/perplexica_search.py "Climate change research" --url http://127.0.0.1:3000
python3 <SKILL_DIR>/scripts/perplexica_search.py "Query" --url http://host.docker.internal:...
README
# Perplexica Search Skill 🔍

An [OpenClaw](https://open-claw.bot) skill that runs AI-powered search against your **local** [Perplexica](https://github.com/ItzCrazyKns/Perplexica) instance. Uses deep research (quality mode), web search, and LLM reasoning to return answers with cited sources in OpenClaw while keeping search/RAG state in Perplexica.

**Local-only:** only `localhost`, `127.0.0.1`, `::1`, or `host.docker.internal` (Docker) are allowed; remote URLs are rejected. HTTP redirects are not followed.

## Installation

```bash
# From ClawHub (when published)
clawhub install perplexica-search

# From GitHub
git clone https://github.com/eplt/perplexica-search.git ~/.openclaw/skills/perplexica-search
```

## Prerequisites

- **python3** (required)
- Perplexica running locally (default: `http://localhost:3000`)
- At least one chat model provider configured in Perplexica
- Python 3.8+

## Quick Start

```bash
# Basic search
python3 scripts/perplexica_search.py "What is quantum computing?"

# Quality mode with academic sources
python3 scripts/perplexica_search.py "Transformer architecture 2024" --mode quality --sources academic

# JSON output for programmatic use
python3 scripts/perplexica_search.py "Python async best practices" --json
```

## Usage

```
usage: perplexica_search.py [-h] [-u URL] [-m {speed,balanced,quality}]
                            [-s SOURCES] [--chat-model CHAT_MODEL]
                            [--embedding-model EMBEDDING_MODEL]
                            [-i INSTRUCTIONS] [--history HISTORY] [-j]
                            [--stream]
                            query

AI-powered search using local Perplexica instance

positional arguments:
  query                 Search query

options:
  -h, --help            show this help message and exit
  -u URL, --url URL     Local Perplexica base URL only (default: http://localhost:3000). Allowed: localhost, 127.0.0.1, ::1, host.docker.internal.
  -m {speed,balanced,quality}, --mode {speed,balanced,q...

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