kelly-agent-observabilitylisted

# Agent Fleet Observability Desk ## Overview Use this skill as a local operator surface over a MOCK fleet of LLM agents running behind a shared AI gateway for a generic organization. It aggregates per-agent call volume, latency (p50/p95), error/failure rate, and cost into one file-backed App-in-Skill dashboard with a Fleet Overview, a sortable Agent Health table, and a Trace Detail view that highlights exactly where a chain of tool calls broke. Default interaction mode: App UI. Unless the user explicitly asks for chat-only handling, seed mock telemetry if missing, start/reuse the local app with `app/start.sh`, and give the actual local URL. Use chat-only mode only when the user says "纯聊天", "chat only", "no UI", or similar. This is a demo/reference dashboard: all data is generated locally by `scripts/generate_fleet_data.ts`. There is no real gateway, no real agents, and no external network calls anywhere in this skill. ## App UI Screenshots <table> <tr> <td width="50%"><img src="assets/screenshots/overview.webp" alt="Fleet overview"></td> <td width="50%"><img src="assets/screenshots/agent-health.webp" alt="Agent health table"></td> </tr> <tr> <td><strong>Fleet Overview</strong><br>Total calls, total cost, degraded/critical/healthy agent counts, and a per-agent sparkline card grid.</td> <td><strong>Agent Health</strong><br>Sortable table with call volume, p50/p95 latency, error rate, cost, and a status badge per agent.</td> </tr> <tr> <td wid