A comprehensive integration for Faraday that enables automated vulnerability management and security data orchestration through Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install faraday
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 faraday 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 Faraday?
Faraday is a leading collaborative penetration testing and vulnerability management platform designed for security consultants and red teams. This Openclaw Skills integration allows AI agents to aggregate and analyze security findings directly within your existing workflows. By leveraging the Membrane framework, the skill abstracts the complexities of authentication and raw API management, providing a structured way to interact with security experiments, hypotheses, and findings.
Through this integration, developers can programmatically manage security data sources, locations, and processes. It bridges the gap between automated security scanning and manual assessment by providing a unified interface for red team operations. Whether you are managing datasets or creating prediction models for vulnerability outcomes, this skill ensures your security posture is data-driven and highly organized.
Faraday Use Cases
- Centralizing vulnerability data from multiple security tools into Faraday organizations.
- Automating the creation of outcome prediction models and scope definitions for pentesting.
- Querying security targets and persona sets during active red team engagements.
- Synchronizing external security data sources and streams with Faraday datasets.
- Managing collaborative notes, tags, and references across a security team.
How Faraday Works
- The user installs the Membrane CLI to facilitate the connection between the AI agent and Faraday.
- Authentication is handled via a secure tenant-based login, where Membrane manages the OAuth or API key lifecycle.
- The Openclaw Skills agent uses the
membrane connection ensurecommand to establish a verified link to a Faraday instance. - Developers can search for specific Faraday capabilities using natural language intent via the action discovery system.
- Actions are executed through the CLI, passing JSON parameters to perform operations like listing datasets or creating outcomes.
- For advanced needs, the skill provides a transparent proxy to the Faraday API, automatically injecting necessary headers and refreshing credentials as needed.
Faraday Setup
First, install the Membrane CLI globally:
npm install -g @membranehq/cli@latest
Authenticate your agent using the Openclaw Skills specific client name:
membrane login --tenant --clientName=openclaw
Establish a connection to your Faraday instance:
membrane connection ensure "https://faraday.ai/" --json
If the connection state is BUILDING, wait for it to be READY:
npx @membranehq/cli connection get <id> --wait --json
Faraday Data Schema & Taxonomy
The Faraday skill organizes data into several logical entities to map security workflows effectively:
| Entity | Description |
|---|---|
| Experiments | Contains hypotheses and specific security findings. |
| Datasets | Managed collections of security data used for analysis. |
| Outcomes | Prediction models generated based on vulnerability data. |
| Scopes | Definitions of the people and data included in security predictions. |
| Targets | Destinations where predictions and security reports are exported. |
| Connections | External system links for data import and export. |
Additional metadata includes Tags, Notes, References, and Persona Sets to provide context to security findings.
Faraday Advanced Features
- Natural Language Action Discovery: Use intent-based searching to find the right Faraday API call without reading documentation.
- Automatic Credential Management: Never handle raw API keys; Membrane manages tokens and refreshes server-side.
- Transparent API Proxying: Send custom requests to any Faraday endpoint while maintaining automated auth injection.
- Machine-Readable Outputs: All commands support a
--jsonflag for easy integration into automated CI/CD security pipelines. - Multi-Agent Compatibility: Adjusts tooling behavior based on agent types like openclaw, windsurf, or warp.
SKILL.md
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