aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore is an AI agent that examines AWS WAF logs and configuration to investigate security incidents, identify bypasses, and create HTML reports. It is for security teams analyzing blocked requests, false positives, bots, DDoS indicators, and rule effectiveness with Amazon Bedrock AgentCore and the Strands Agents SDK.
1 file for Codex and OpenCode: sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore AGENTS.md — 1,932 tokens loaded in every session.
AGENTS.md A 1,932 tok These files are aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore's own configuration — they tell Codex and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.