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.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
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.
中文简介正在准备中。当前显示原文说明。
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).
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。