Skill UI

A comprehensive guide for installing, configuring, and validating the local long-term memory plugin (`memory-tencentdb`) within the OpenClaw environment. This guide covers everything from environment pre-checks to advanced configuration for data capture, information extraction, context recall, and vector embedding, ensuring robust, self-contained memory capabilities for RAG applications.

A comprehensive framework for authorized security assessments of Operational Technology (OT) and Industrial Control Systems (ICS). It emphasizes a 'passive-first' approach, covering Purdue model zoning, analyzing industrial protocols (Modbus, DNP3, etc.), and identifying exposure points on SCADA/DCS environments. The methodology strictly avoids disruptive write operations on PLCs, prioritizing read-only validation and safe network analysis for physical safety.

Guides users to select a local, on-device Personally Identifiable Information (PII) detection model from a committed registry. It filters models based on language, required runtime environment (e.g., PyTorch, MLX), and size constraints. The process emphasizes building an offline shortlist and mandates rigorous pre-deployment recall validation and performance benchmarking to ensure secure, privacy-preserving deployment.

A specialized framework for conducting non-Wi-Fi RF/SDR security research in controlled, authorized laboratory environments. Focuses on passive signal identification, protocol analysis (e.g., remote controls, ADS-B), and feasibility studies. Emphasizes strict legal compliance, requiring analysis to be performed only in shielded labs with explicit authorization, and defaults to receiving-only mode.

This command inspects the native code execution sandbox environment. It reports on platform compatibility (e.g., bubblewrap, Seatbelt), active security configurations (auto-allow status, filesystem policies, network allowlists), and details recent security violations. Use it to audit the execution environment before running autonomous workflows.

This protocol provides a systematic, multi-step diagnostic approach to determine if a command failure (e.g., permission denied, network issues) is genuinely due to sandbox restrictions or is caused by environmental or measurement errors. It includes eight critical checks—such as verifying shell scope and reading real exit codes—to eliminate false positives before filing a blocker report.

This tool performs a comprehensive security audit of Claude Code configurations. It checks for known malicious skills, vulnerable MCP servers, dangerous patterns (like hidden characters, environment variable harvesting), and exposed secrets across various components (skills, hooks, and system prompts). It generates a detailed, actionable report identifying security risks and compliance issues.

This skill enables the execution of OpenSquilla agents against complex, real-world software engineering benchmarks (SWE-bench). It runs the entire process—from pulling the necessary Docker image to collecting the patch and running official evaluations—in a containerized environment. Use it to test an agent's ability to solve specific coding issues, benchmark performance across datasets (e.g., verified, multilingual), or verify if a generated patch successfully resolves an instance.

This utility is essential for developers needing to ensure that recent code modifications function as intended. By running the application within a verification environment, users can quickly validate that the changes meet all expected behaviors, maintaining system stability and quality assurance before deployment or merging.