A sophisticated integration enabling AI agents to interact with Recorded Future's threat intelligence platform for automated security analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install recorded-future
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 recorded-future 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 Recorded Future?
Recorded Future is a leading threat intelligence platform designed to collect and analyze massive amounts of data to identify emerging cyber threats. This skill allows developers to harness that intelligence through the framework of Openclaw Skills, enabling AI agents to proactively protect organizations, prioritize vulnerabilities, and disrupt malicious activity. By integrating this intelligence directly into automated workflows, security teams can move from reactive posture to proactive defense.
The integration relies on the Membrane framework to manage complex authentication and connectivity issues, providing a seamless bridge between your AI agent and the Recorded Future API. This ensures that intelligence analysts and security engineers can focus on strategy and logic rather than the underlying infrastructure of API connectivity.
Recorded Future Use Cases
- Proactively identifying and analyzing emerging threats from the web.
- Automating the prioritization of organizational vulnerabilities based on real-time risk scores.
- Monitoring attack surfaces and managing security entities programmatically.
- Integrating threat intelligence feeds into automated incident response playbooks.
- Generating automated security reports and dashboards for intelligence analysts.
How Recorded Future Works
- The AI agent initiates a connection to Recorded Future using the Membrane CLI, which handles the secure exchange of credentials.
- A persistent connection is established, allowing the agent to perform actions without manual token management.
- The agent uses natural language intents to discover specific security actions, such as querying intelligence lists or identifying risk rules.
- Commands are executed via the platform, interacting with entities, vulnerabilities, or attack surface data.
- Results are returned in a structured format, enabling the AI to make informed security decisions or trigger further automation steps.
Recorded Future Setup
To get started with this skill within the Openclaw Skills ecosystem, follow these installation steps:
Install the Membrane CLI:
npm install -g @membranehq/cli@latest
Authenticate your agent environment:
membrane login --tenant --clientName=openclaw
Establish a connection to Recorded Future:
membrane connection ensure "https://www.recordedfuture.com/" --json
If the connection state is BUILDING, poll for readiness:
membrane connection get <id> --wait --json
Recorded Future Data Schema & Taxonomy
The Recorded Future skill organizes data around several core security modules and entities. The following table outlines the primary data structures available:
| Data Component | Description |
|---|---|
| Intelligence List | Curated collections of threat indicators and actor data. |
| Entities | Specific records representing IP addresses, domains, or malware. |
| Risk Rules | Logic used to score and prioritize threats based on severity. |
| Attack Surface | Data regarding an organization's external-facing digital assets. |
| Vulnerabilities | Technical details and risk ratings for known software weaknesses. |
Recorded Future Advanced Features
- Automated credential refresh ensuring long-running security workflows are never interrupted by expired tokens.
- Direct API Proxy support for executing raw requests to any Recorded Future endpoint when specialized functionality is required.
- Natural language action discovery to find the most efficient tools for specific security queries, reducing token overhead.
- Headless environment support for server-side deployments and multi-agent orchestration.
- Full support for JSON-formatted output for seamless integration with downstream data analytics tools.
SKILL.md
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