continual-learning
Implement continual learning for coding agents — hooks, memory scoping, reflection patterns.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for continual-learning, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
A Microsoft skill guiding the implementation of continual learning infrastructure in AI coding agents, covering hooks, memory scoping, and reflection patterns. Security-relevant because it wires agent memory and hook-driven behavior that persist and shape future runs.
Key features and capabilities
- Agent hooks setup
- Memory scoping
- Reflection patterns
Use cases
- Adding a learning/memory layer to an agent
- Setting up reflection hooks