Review the configured cost alert rules and the alerts currently fired on the Agent Monitor dashboard, then explain exactly what tripped and why. Uses /api/alerts (fired feed) and /api/alerts/rules (definitions). Use when checking spend alerts or asking why a cost alarm went off.
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Audit the spend guardrails: which rules exist, which have fired, and what tripped them.
The user provides: $ARGUMENTS
This may be empty (review everything), "unacked" (only unacknowledged alerts),
or a rule name to focus on.
| Endpoint | Returns |
|---|---|
GET /api/alerts/rules | { rules: [{ id, name, rule_type, config, enabled, cooldown_seconds }] } — the guardrail definitions |
GET /api/alerts | { alerts: [{ id, rule_id, rule_name, rule_type, session_id, agent_id, message, details, triggered_at, acked }], total, unacked, limit, offset } — the fired-alert feed, newest first. ?unacked=true filters to unacknowledged |
rule_type | config | Fires when |
|---|---|---|
token_threshold | { total_tokens } | A session's cumulative tokens (input + output + cache_read + cache_write) cross the ceiling — the spend-relevant guardrail |
event_pattern | { event_type?, tool_name?, summary_contains?, count?, window_minutes? } | Matching events reach count within the window |
inactivity | { minutes } | An active session goes quiet for minutes |
status_duration | { status, minutes } | An agent is stuck in working/waiting for minutes |
For cost work, focus on token_threshold. Translate its token ceiling to dollars using the blended rate from /api/pricing/cost (total_cost / total_tokens) so the user sees the alarm in money terms.
Table from /api/alerts/rules: name, type, the human-readable threshold (e.g. token_threshold → 12,500,000 tokens ≈ $50.0000), enabled state, cooldown. Flag rules that are disabled or have no spend-relevant guardrail at all.
Table from /api/alerts: rule name, triggered_at, scope (session/agent id), acked, and the message. Lead with the unacked count. Honor "unacked" input by querying ?unacked=true.
For each fired alert, parse details and explain in plain terms: e.g. "session X crossed 12,500,000 tokens (threshold 12,500,000) ≈ $50.12 at current rates — your token_threshold budget rule fired." Tie the observed value back to the rule's config.
Suggest acknowledging stale alerts (POST /api/alerts/:id/ack or /api/alerts/ack-all), tightening or loosening a threshold, or arming a missing budget rule (point to the budget-set skill).
Markdown tables. Currency as USD to 4 decimal places; token counts with thousands separators. Make the link between each fired alert and the rule that produced it explicit — never report a raw alert without saying which rule tripped and why.
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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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