Run comprehensive health checks on the Claude Code Agent Monitor system. Validates dashboard API, database, WebSocket, hooks, and disk usage. Use to verify the monitoring setup is working correctly.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Run a comprehensive health check on the Agent Monitor system.
The user provides: $ARGUMENTS
This may be:
Run health checks in this order:
curl -sf http://localhost:4820/api/health
curl -sf http://localhost:4820/api/stats
Test each major endpoint:
curl -sf http://localhost:4820/api/sessions?limit=1
curl -sf http://localhost:4820/api/events?limit=1
curl -sf http://localhost:4820/api/analytics
curl -sf http://localhost:4820/api/pricing
curl -sf http://localhost:4820/api/settings/info
~/.claude/settings.jsonPresent as a system health dashboard:
╔══════════════════════════════════════════════╗
║ AGENT MONITOR HEALTH CHECK ║
║ Timestamp: 2025-04-11 12:00:00 UTC ║
╠══════════════════════════════════════════════╣
║ ║
║ API Server ............ ✅ OK (45ms) ║
║ Database .............. ✅ OK (2.4 MB) ║
║ WebSocket ............. ✅ OK ║
║ API Endpoints ......... ✅ 6/6 passing ║
║ Hook Integration ...... ⚠️ 5/7 hooks ║
║ Data Freshness ........ ✅ 3m ago ║
║ ║
║ Overall: HEALTHY (5/6 checks passed) ║
║ ║
╚══════════════════════════════════════════════╝
For any non-passing check, include detailed explanation and remediation steps below the dashboard.
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Inspect fired CCAM alerts and manage alert rules for token thresholds, event patterns, inactivity, and status duration. Use when acknowledging alerts, creating or editing a rule, checking cooldowns, or connecting alert rules to webhook targets.
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Identify anomalous sessions using Agent Monitor data — cost outliers from the pricing engine, token anomalies (cache miss spikes, compaction baseline surges), unusual event type ratios (PreToolUse/PostToolUse gaps, APIError clusters), behavioral deviations from workflow intelligence (complexity score outliers, error propagation anomalies), and sessions with abnormal metadata (extreme turn_count, high thinking_blocks, zero turn_duration).
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Produce a detailed report on APIError events from Agent Monitor data — counts over time, which sessions and models are affected, and the likely root cause (rate limits, overload/529, or context-window pressure) inferred from each event's summary and data payload. Use when API errors spike or when you need to explain why requests are failing.
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Benchmark one session (or a small recent set) against the rolling average using Agent Monitor data — cost, total tokens, tool count, and workflow complexity score — and report where each metric lands as a percentile of the population. Tells you whether a session was normal, cheap, or an outlier. Use when judging whether a session was typical or out of band.
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Define a spend budget for Claude Code and, optionally, create a cost alert rule that fires when usage crosses the limit, via POST /api/alerts/rules on the Agent Monitor dashboard. Reads current spend from /api/pricing/cost to size the budget sensibly and explains every rule field before writing. Use when setting a spend limit or wiring up a budget guardrail.
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Analyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (total_cache_read / (total_cache_read + total_input)), cache_write vs cache_read reuse, cache-read vs cache-write spend, and the sessions with the poorest reuse. Pulls token totals from /api/analytics, per-session detail from /api/sessions, and dollar splits from /api/pricing/cost. Use when diagnosing cache spend or deciding whether prompt caching is paying off.
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