Trace the full event chain for one Claude Code session into an ordered timeline of every event type with tool_name and summary, highlighting gaps, out-of-order events, and failures. Reads /api/events?session_id= and /api/sessions/:id from the Agent Monitor dashboard. Use when debugging what a session actually did, step by step.
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。
Build a chronological, annotated event timeline for a single session.
The user provides: $ARGUMENTS
This is a session ID. It may also be:
latest / last — trace the most recently updated sessionerrors — trace the most recent session whose status is error| Endpoint | Returns |
|---|---|
GET /api/sessions?limit=N | session list (used to resolve latest/errors and the target id) |
GET /api/sessions/:id | full session detail (status, model, cwd, started_at, ended_at, cost, nested agents + events) |
GET /api/events?session_id=X | the ordered event stream: event_type, tool_name, summary, data, timestamp |
If $ARGUMENTS is a raw id, use it. If latest/last, call
GET /api/sessions?limit=1. If errors, call
GET /api/sessions?limit=10&status=error and pick the newest. Confirm the id
resolves via GET /api/sessions/:id; if not, report it as missing and stop.
From GET /api/sessions/:id: id, status, model, cwd, started_at → ended_at,
total duration, cost (USD to 4 decimals), and counts (events, agents).
From GET /api/events?session_id=X, list every event in timestamp order. One row
per event:
| # | time | Δ since prev | event_type | tool_name | summary |
Cover all event types present: SessionStart, PreToolUse, PostToolUse, Stop, SubagentStop, Compaction, APIError, TurnDuration, Notification, SessionEnd.
Annotate the timeline:
summary/data indicates
an error — mark ❌ with the error text.One line: CLEAN, GAPS DETECTED, or FAILURES PRESENT — with the count of each flag type and the single most likely thing to investigate next.
npm start from the repo root.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。