A professional-grade research framework that enables AI agents to conduct iterative web searches, manage detailed research logs, and synthesize structured reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install call-web-search-agent
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install call-web-search-agent 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 Call Web Search Agent?
The Call Web Search Agent is a specialized skill designed to transform AI agents into high-tier research experts. By prioritizing real-time web data over static internal knowledge, this Openclaw Skills extension ensures that agents can investigate emerging technologies, verify new product versions, and gather the most current data points available on the live web. It operates on a principle of absolute tool priority, meaning it treats external search results as the primary source of truth.
This skill is engineered for efficiency and cost-control, featuring built-in logic to prevent infinite loops and excessive token consumption. It provides a structured three-phase workflow—Setup, Iterative Research, and Synthesis—that allows for the creation of comprehensive Research Logs and finalized Research Reports with full inline citations. Whether you are building a competitive intelligence bot or a technical documentation assistant, this skill provides the rigorous framework needed for professional output.
Call Web Search Agent Use Cases
- Investigating new software releases or hardware versions that post-date an LLM's training cutoff.
- Automating the creation of technical white papers and research logs with verified citations.
- Conducting deep-dive market research or academic literature reviews through iterative searching.
- Building self-correcting research agents that prioritize official documentation and authoritative sources.
How Call Web Search Agent Works
- Preliminary Planning: The agent formulates a search plan with 3-5 core angles and initializes a dedicated Research Log using wiki tools.
- Broad Data Collection: Executes parallel searches to gather initial summaries and URLs, appending distilled information to the log.
- Deep Reading: Scrapes authoritative URLs (e.g., arXiv, official sites) to extract critical technical parameters and dates.
- Iterative Refinement: Analyzes the current log to identify knowledge gaps, asks targeted follow-up questions, and performs focused searches.
- Report Synthesis: Compiles all findings into a structured Markdown report featuring an abstract, core findings, and a bibliography.
- Automated Submission: Finalizes the process by submitting both the Research Log and the Final Report via the integrated submission tool.
Call Web Search Agent Setup
To deploy this skill within your Openclaw Skills environment, ensure your agent has access to the required search and wiki tools.
# Install the skill via the Openclaw CLI
openclaw install call-web-search-agent
Ensure the following tools are available in the agent's configuration: create_wiki_document_simple, append_to_wiki_document_simple, url_scraping, and submit_result. These are essential for the agent to manage its data lifecycle and file paths.
Call Web Search Agent Data Schema & Taxonomy
The skill organizes research into two primary file types managed within a wiki structure:
| File Type | Description | Format |
|---|---|---|
| Research Log | A living document containing filtered summaries, URL references, and raw data points collected during Phase 1 and 2. | Markdown (wiki/name_research_log) |
| Final Report | A structured document containing an Abstract, Background, Core Findings, and Conclusion. | Markdown (wiki/name_final_report) |
| References | A numbered list at the end of the report mapped to inline citations used throughout the text. | Markdown List |
| Metadata | Word count tracking (limit 5000 words) and source authority rankings. | Internal state |
Call Web Search Agent Advanced Features
- Deadlock Handling: Automatically identifies and terminates sub-goals that fail after two consecutive attempts using different strategies.
- Dynamic Resource Control: Proactively compresses content and triggers early report synthesis once word count thresholds (4000/5000 words) are reached.
- Source Authority Filtering: Prioritizes data from official websites and academic pre-prints (arXiv) over secondary media sources.
- Citation Automation: Ensures every key argument is backed by a verified URL and inline markdown citation for high-fidelity reporting.
SKILL.md
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