A high-performance web search skill providing real-time information, dynamic summaries, and full-text extraction for AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install truth-search
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install truth-search using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Cloudsways TruthSearch skill is a sophisticated tool designed for Openclaw Skills that enables AI agents to search the web using the TruthSearch API. It delivers highly relevant search results complete with metadata, dynamic fragments, and optional full-text content directly into the agent context. This skill is essential for developers who require their agents to access up-to-date information, news, or conduct deep research without leaving the CLI environment.
Built to be developer-friendly, it offers a robust interface for querying information with high precision. By supporting various content formats and time-based filtering, it allows for a tailored search experience that balances latency and token usage, making it a versatile addition to any agentic workflow.
export CLOUDSWAYS_AK="your-access-key"
curl and jq installed for optimal performance../scripts/search.sh '{"q": "Openclaw Skills"}'
The skill organizes results within a structured JSON object. The primary data is contained within the webPages.value array:
| Property | Type | Description |
|---|---|---|
name |
String | The title of the search result page. |
url |
String | The direct URL to the source content. |
snippet |
String | A concise summary of the page content. |
mainText |
String | Query-relevant excerpts extracted dynamically. |
content |
String | The full text content of the webpage. |
score |
Float | A relevance score indicating the match quality (0-1). |
mainText feature to get query-focused fragments instead of the whole page, saving on LLM tokens.Loading
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