Diagnose Claude Code hook installation, delivery, and ingestion issues. Checks hook configuration, connectivity, event flow, and identifies common problems. Use when events are not appearing in the dashboard.
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Diagnose hook integration issues between Claude Code and the Agent Monitor.
The user provides: $ARGUMENTS
This may be:
Run diagnostic checks in this order:
Verify hooks are installed in Claude Code settings:
# Check if hooks exist in Claude Code settings
cat ~/.claude/settings.json | jq '.hooks // empty'
Verify:
PreToolUse, PostToolUse, Stop, SubagentStop, Notification, SessionStart, SessionEndTest that the dashboard API is reachable:
curl -sf http://localhost:4820/api/health
Verify:
Check the hook handler script:
# Verify handler exists and is executable
ls -la <handler-path>
# Syntax check
node --check <handler-path>
Send a test event and verify it arrives:
echo '{"hook_type":"test","session_id":"diag-test","data":{}}' | \
curl -sf -X POST http://localhost:4820/api/hooks/event \
-H 'Content-Type: application/json' -d @-
Verify the database is writable and events are persisted:
curl -sf http://localhost:4820/api/stats
curl -sf http://localhost:4820/api/events?limit=5
Check if events are flowing:
Present as a diagnostic report with:
Hook Diagnostics Report
━━━━━━━━━━━━━━━━━━━━━━
✅ Hook Installation .............. PASS
✅ Dashboard Connectivity ......... PASS
✅ Handler Script ................. PASS
⚠️ Event Delivery ................ WARN (slow)
✅ Database ....................... PASS
❌ Recent Event Flow .............. FAIL (no events in 2h)
━━━━━━━━━━━━━━━━━━━━━━
Overall: 5/6 checks passed
For each failed or warning check, include:
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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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