A critical safety system for detecting and preventing illegal content through advanced computer vision, hash matching, and automated legal reporting.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install csam-shield
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 csam-shield using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
CSAM Shield is a high-priority safety framework designed for developers to implement zero-tolerance policies against illegal material. By integrating this skill into your Openclaw Skills ecosystem, you gain access to industry-standard detection tools including PhotoDNA, PDQ hashing, and AI-driven age estimation. It serves as a comprehensive shield that not only identifies prohibited content but also manages the complex legal lifecycle of evidence preservation and mandatory reporting.
The system is engineered to handle the most serious forms of online abuse with technical precision. It allows platforms to maintain compliance with international laws by providing a direct pipeline to NCMEC and other law enforcement agencies. This skill is a fundamental requirement for any developer building user-centric applications within the Openclaw Skills environment that prioritize safety and legal integrity.
To begin securing your application with this skill, install the package via npm within your environment:
npm install @raghulpasupathi/csam-shield
After installation, configure your environment variables with your NCMEC API key and a robust encryption key for evidence storage. Initialize the shield in your Openclaw Skills workflow by setting the protection mode to maximum-protection and ensuring that hash database update frequencies are set to hourly.
The skill organizes detection data into a structured taxonomy optimized for legal proceedings and auditing. Evidence is stored in encrypted containers with the following metadata structure:
| Property | Type | Description |
|---|---|---|
threat |
String | Threat severity level, typically CRITICAL for CSAM |
detectionType |
String | The method used (e.g., hash_match, behavior_analysis) |
confidence |
Float | AI confidence score for the detection event |
evidence |
Object | Contains encrypted paths, case IDs, and device metadata |
actions |
Object | Log of automated responses such as user suspension and reporting |
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