Define and check simple service-level objectives for Claude Code from Agent Monitor data — session completion rate, tool success rate (PostToolUse/PreToolUse), and error rate (APIError/total) — then compare each to its target and report the error budget remaining. Use when reporting reliability or when someone asks "are we meeting our SLOs?".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Turn raw event counts into a clear SLO scorecard with error-budget accounting.
The user provides: $ARGUMENTS
This may be:
Default SLO targets: completion rate ≥ 95%, tool success rate ≥ 99%, error rate ≤ 1%.
| Endpoint | Returns |
|---|---|
GET /api/analytics | event_types (PreToolUse, PostToolUse, APIError counts), sessions_by_status, daily_events (365d), daily_sessions (365d) — the raw numerators/denominators for every SLI |
GET /api/stats | total_sessions, total_events, events_today, sessions_by_status — fleet totals and recency |
GET /api/events?session_id=X | Per-session stream — drill into the sessions that breach an SLO |
Compute each SLI from GET /api/analytics / GET /api/stats:
sessions_by_status; count active/running as in-flight, exclude them from the denominator if still open).PostToolUse / PreToolUse (capped at 100%).APIError / total_events.
Within a window, derive the numerators/denominators from daily_events / daily_sessions.For each SLI, compare to its target and mark MET ✅ or BREACHED ❌.
For each objective, report the error budget and how much remains:
1 − target (e.g., 1% for a 99% target).(observed − target) / (1 − target).(target − observed) / target.For any breached SLO, list the sessions contributing most to the breach (most failed tools or most APIErrors) via GET /api/events?session_id=X.
session_id values — never fabricate numerators or denominators.curl cannot reach http://localhost:4820, tell the user to start the dashboard with npm start from the repo root.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.