agent-health-monitoring
Monitor AI agent health, detect anomalies, set up alerting, and maintain observability dashboards for production multi-agent systems. Covers liveness checks, performance metrics, drift detection, and incident response.
Profile →npx skills add cosmicstack-labs/mercury-agent-skills --skill agent-health-monitoring --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Agent Health Monitoring & Alerting ## Overview Production multi-agent systems fail silently. An agent that stops responding, returns empty results, or enters an infinite loop can degrade an entire workflow without triggering traditional infrastructure alerts. This skill covers how to build comprehensive health monitoring, metrics collection, and alerting for AI agent fleets. --- ## Core Concepts ### Agent Vital Signs | Metric | What It Measures | Why It Matters | |--------|-----------------|----------------| | **Response Rate** | % of agent invocations that return a result | Dropping rate indicates crashes or context overflows | | **Latency (P50/P95/P99)** | Time from invocation to response | Spikes indicate context bloat or degraded model performance | | **Error Rate** | % of invocations with errors/tool failures | Rising rate indicates systemic issues | | **Step Count** | Number of reasoning steps per task | Unbounded growth indicates looping behavior | | **Tool Call Success Rate** | % of tool calls that succeed | Drop indicates broken integrations or rate limiting | | **Token Consumption** | Tokens used per agent run | Budget anomalies indicate runaway agents | | **Context Uti
- Overview
- Core Concepts
- Agent Vital Signs
- Alert Severity Levels
- Step-by-Step Implementation
- Step 1: Instrument Every Agent
- Step 2: Implement Liveness & Readiness Probes
- Step 3: Set Up Anomaly Detection
- Step 4: Build the Alerting Pipeline
- Step 5: Define Alert Rules
- Step 6: Build the Dashboard
- Trigger Phrases
- Production Runbook
- Incident: Agent Unresponsive
What does the agent-health-monitoring skill do?
Monitor AI agent health, detect anomalies, set up alerting, and maintain observability dashboards for production multi-agent systems. Covers liveness checks, performance metrics, drift detection, and incident response.
How do I install it?
Run `npx skills add cosmicstack-labs/mercury-agent-skills --skill agent-health-monitoring --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From cosmicstack-labs/mercury-agent-skills, a repository with 364 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.