Shieldcortex

What This Skill Does

ShieldCortex acts as the cognitive bedrock for your OpenClaw agent, transforming it from a stateless conversational interface into a long-term, self-improving entity. Unlike basic context windows that are wiped when a session ends, ShieldCortex provides persistent memory coupled with an enterprise-grade security architecture. It employs a 6-layer defense pipeline that proactively screens every memory write for prompt injection, sensitive data leakage (such as API keys or credentials), and malicious poisoning attempts. Beyond storage, it features a sophisticated 'Iron Dome' layer that provides behavioral protection, ensuring the agent adheres to security profiles and audit trails. By leveraging semantic search and knowledge graph extraction, it enables the agent to understand complex relationships between entities and past interactions, allowing it to grow more efficient and context-aware over time.

Installation

To integrate ShieldCortex into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/jarvis-drakon/shieldcortex

After installation, initialize the security hooks by running:

shieldcortex openclaw install

For users who want the agent to automatically extract context at the end of a session, enable the auto-memory feature with:

npx shieldcortex config --openclaw-auto-memory

Use Cases

ShieldCortex is ideal for developers who need their agents to maintain project-specific context across different work sessions without needing to manually re-seed the conversation. It is perfect for complex development workflows where the agent needs to remember architecture decisions, library preferences, and specific user constraints. Additionally, it serves as a security-first layer for agents operating in sensitive environments, protecting against malicious prompt injection that might try to bypass agent instructions or extract environment variables from system files.

Example Prompts

1. "Remember this: My project uses PostgreSQL 15, and I prefer using Zod for all schema validation in the frontend."
2. "ShieldCortex, perform a full security audit of my current agent environment and report any potential credential leaks."
3. "Summarize what you know about the authentication architecture based on our previous discussions and build a knowledge graph of the current user permissions."

Tips & Limitations

• Memory Decay: ShieldCortex uses a decay-based forgetting mechanism; prioritize important information by referencing it occasionally to prevent the system from flagging it as inactive.
• Not for RAG: Do not attempt to use ShieldCortex as a replacement for large-scale document vector databases; it is designed for agent-centric memory, not massive document retrieval.
• Performance: While the defense pipeline is highly optimized, constant writes of extremely large text blobs may result in minor latency; keep 'remember' commands concise for best results.