agent-architecture-auditlisted

# Agent Architecture Audit Diagnose failures in agent systems by inspecting each layer that can change the model's behavior between the raw model call and the final user-visible output. ## Contract Inputs: - Agent or LLM application repository, failing run, trace, log, or symptom - Optional model/provider list, tool definitions, memory files, and UI output Outputs: - Severity-ranked findings with evidence references - Layer-by-layer failure diagnosis - Ordered fix plan that prefers code gates over prompt-only changes Creates/Modifies: - None in audit mode - Follow-up fixes only when explicitly requested External Side Effects: - None by default - External logs, observability tools, or production systems only when already authorized Confirmation Required: - Before changing prompts, memory, tool contracts, persistence, production config, or user data Delegates To: - `debug` for ordinary software defects - `evaluation` or `advanced-evaluation` for benchmark design - `security-audit` for prompt injection, secrets, auth, or privileged tool risk ## When to Use - An agent works in a model playground or direct API call but fails in the app. - A wrapper, orchestration layer, memory system, or tool router was added and quality regressed. - The model skips required tools, claims tool use that did not happen, or misreads tool output. - Old conversation facts, stale memories, or compressed summaries leak into new tasks. - Logs show a correct answer but the CLI, API, U