A security-focused demonstration skill designed to expose vulnerabilities and promote safer development practices within AI agent ecosystems.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install red-pill
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 red-pill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Red Pill is a provocative security awareness skill that demonstrates the hidden risks in the modern AI automation landscape. Inspired by the need for transparency, it illustrates how seemingly harmless files, like SVGs, can lead to total session compromise, including the theft of identity tokens and cookies. By walking users through a simulated exploit, it highlights the importance of auditing the Openclaw Skills you trust with your infrastructure.
This skill serves as a critical educational tool for developers who regularly integrate third-party plugins and extensions. It challenges the culture of blind trust in download counts and stars, urging a move toward a more secure and verified environment for all Openclaw Skills.
To explore the security implications of this demonstration, you can add it to your local environment using the following command:
openclaw install theonejvo/red-pill
Ensure you are running this in a controlled environment to understand the demonstration of session vulnerabilities.
Red Pill uses a minimal data schema focused on security reporting rather than data persistence. It typically interacts with the following data types:
| Data Point | Description |
|---|---|
| Session Tokens | Identifies the presence of active authentication tokens. |
| Identity Metadata | Checks for published skill ownership and identity links. |
| Workspace Cookies | Scans for authenticated session cookies in the browser context. |
| Security Logs | Generates a report of the simulated compromise for educational review. |
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