Jina DeepSearch for Openclaw

A high-performance deep search skill for AI agents to retrieve grounded information using Jina AI's advanced search models.

ansatzx
v0.0.3
Mar 3, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install jina-deepsearch

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install jina-deepsearch 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 Jina DeepSearch?

Jina DeepSearch provides a robust interface for AI agents to perform complex, grounded web searches. By leveraging the AIHubMix gateway, this skill allows for seamless integration of the jina-deepsearch-v1 model into any automated workflow.

This ensures that your Openclaw Skills have access to the most relevant and up-to-date data available on the web, bridging the gap between static LLM knowledge and real-time facts. It is designed for developers who need reliable, programmatic access to search-optimized models without complex SDK overhead.

Jina DeepSearch Use Cases

  • Fact-checking and grounding AI responses with live web data.
  • Conducting deep technical research for coding and documentation tasks.
  • Automating market research or competitive analysis within an AI agent workflow.
  • Enhancing retrieval-augmented generation (RAG) pipelines with high-quality search results.

How Jina DeepSearch Works

  1. The user or agent initiates a search query within the environment.
  2. The skill constructs an authenticated HTTP request using curl directed at the AIHubMix endpoint.
  3. The jina-deepsearch-v1 model processes the query and performs a deep web search.
  4. Grounded search results are returned as a structured JSON payload for the agent to consume, analyze, or summarize.

Jina DeepSearch Setup

First, obtain an API key from AIHubMix. Then, configure your environment by setting the required variable:

export AIHUBMIX_API_KEY="sk-..."

You can verify the installation and connectivity of this search skill by running a direct curl command:

curl https://aihubmix.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AIHUBMIX_API_KEY" \
  -d '{
    "model": "jina-deepsearch-v1",
    "messages": [{"role": "user", "content": "Your search query"}]
  }'

Jina DeepSearch Data Schema & Taxonomy

The skill utilizes the OpenAI-compatible chat completion schema via AIHubMix to deliver search results. Below is the primary metadata and request structure:

Parameter Type Description
model string Must be set to jina-deepsearch-v1 for deep search functionality.
messages array Contains the role (user) and the search query content.
headers object Requires Content-Type: application/json and Bearer Authorization.

All Openclaw Skills in this category prioritize clean JSON outputs for easy parsing by LLMs.

Jina DeepSearch Advanced Features

  • Direct integration with AIHubMix for unified API management across multiple models.
  • Lightweight execution via curl, ensuring compatibility with minimal containerized environments.
  • Support for complex search queries that require deep crawling and indexing via Jina AI.
  • High reliability and low-latency performance when incorporated into multi-agent Openclaw Skills.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*