A professional-grade intelligence gathering and analysis skill that transforms raw data into structured, actionable research reports.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install intelligence-analyst-claw
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 intelligence-analyst-claw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Intelligence Analyst Claw is a specialized framework designed for AI agents to operate as private intelligence professionals. By integrating this skill into the Openclaw Skills ecosystem, agents gain the ability to navigate information overflows, extract high-value signals, and generate 'de-watered' structured reports. It bridges the gap between simple web searching and deep analytical synthesis.
The skill focuses on a rigorous methodology involving multi-source crawling, cross-verification of data, and dimensional analysis across markets, competition, and finance. It is particularly effective for users who need a technical edge in understanding industry shifts, evaluating investment risks, or monitoring regulatory landscapes without manual oversight.
To integrate this capability within your Openclaw Skills environment, follow these steps:
# Clone the skill repository into your agent's directory
git clone https://github.com/openclaw/intelligence-analyst-claw.git
# Install the necessary analysis dependencies
pip install -r requirements.txt
# Configure your search and browser tool environmental variables
export SEARCH_PROVIDER_API_KEY="your_api_key"
The skill organizes research into a structured taxonomy for maximum clarity:
| Component | Format | Description |
|---|---|---|
| Executive Summary | Markdown | 3-5 punchy sentences on core findings and conclusions. |
| Core Data Table | Markdown Table | Key metrics (revenue, CAGR, etc.) with time stamps and source attribution. |
| Deep Analysis | Markdown | Chapter-based breakdown of findings supported by data evidence. |
| Risk Assessment | Priority List | Categorized risks (Policy, Tech, Market) ranked by severity. |
| Credibility Rating | Star System | 1-5 star rating based on primary vs. tertiary source types. |
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