Run a daily spend check-in against a daily budget on the Agent Monitor dashboard — today's spend vs the daily target, pace through the day, and the projected overage if the current pace holds. Uses /api/pricing/cost and /api/sessions (grouped by started_at = today). Use for a quick daily spend check-in or a morning/evening budget pulse.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
A fast daily pulse: are you on pace against today's budget?
The user provides: $ARGUMENTS
This is the daily budget in dollars — e.g. "5" or "$5/day". If omitted, ask
for one or derive it from a monthly budget (monthly / days_in_month) and state the
assumption.
| Endpoint | Returns |
|---|---|
GET /api/pricing/cost | { total_cost, breakdown: [{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] } — fleet-wide spend and the avg cost-per-session used to value today's sessions |
GET /api/sessions?limit=200 | Session list with inline cost and started_at — filter to today (DATE(started_at) = today) to isolate today's spend |
Spend has no per-day field, so isolate today from the session list:
started_at is today (local date).cost over today's sessions. If inline cost is absent for some rows, fall back to today_session_count × (total_cost / total_session_count) and flag it as approximate.fraction_of_day_elapsed = hours_since_midnight / 24. expected_by_now = daily_budget × fraction_of_day_elapsed.today_spend − expected_by_now (▲ ahead of budget / ▼ behind).projected_today = today_spend / fraction_of_day_elapsed (linear extrapolation of the current pace). Guard against tiny fraction_of_day_elapsed early in the day — if under ~0.1, label the projection low-confidence.projected_today − daily_budget (positive = over).One headline line: today's spend / daily budget, and the percent consumed. Verdict: under / on pace / over.
expected_by_now vs actual today_spend, the ▲/▼ pace delta, and the fraction of the day elapsed.
projected_today and the projected overage/headroom vs the daily budget. Note the confidence (low early in the day).
Today's sessions ranked by cost (top 5): name/id, model, cost. Surface any premium-model session inflating the day.
If projected over: one concrete cut (route the priciest session type cheaper — see model-savings; or arm a token_threshold rule via budget-set). If under: confirm headroom and the remaining daily allowance.
Compact Markdown — this is a daily check-in, keep it tight. Currency as USD to 4 decimal places; pace deltas with ▲/▼. Lead with the verdict line.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
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).
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。