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event-trace

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.

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含まれるファイル(2)

  • SKILL.md3.0 KB
  • agents/openai.yaml262 B

SKILL.md(原文)

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Event Trace

Build a chronological, annotated event timeline for a single session.

Input

The user provides: $ARGUMENTS

This is a session ID. It may also be:

  • latest / last — trace the most recently updated session
  • errors — trace the most recent session whose status is error

Data Sources

EndpointReturns
GET /api/sessions?limit=Nsession list (used to resolve latest/errors and the target id)
GET /api/sessions/:idfull session detail (status, model, cwd, started_at, ended_at, cost, nested agents + events)
GET /api/events?session_id=Xthe ordered event stream: event_type, tool_name, summary, data, timestamp

Report Sections

1. Resolve the session

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.

2. Session header

From GET /api/sessions/:id: id, status, model, cwd, started_at → ended_at, total duration, cost (USD to 4 decimals), and counts (events, agents).

3. Ordered timeline

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.

4. Gap & failure highlights

Annotate the timeline:

  • Gaps: any Δ > 30s between consecutive events — mark ⏳ and note the wait.
  • Unpaired tool calls: a PreToolUse with no matching PostToolUse (same tool_name, next in stream) — mark ⚠️ "no completion recorded".
  • Failures: APIError events and PostToolUse whose summary/data indicates an error — mark ❌ with the error text.
  • Compaction: mark ♻️ and note it resets the visible token baseline.
  • Missing bookends: no SessionStart at the head or no Stop/SessionEnd at the tail of an ended session — mark 🚩.

5. Verdict

One line: CLEAN, GAPS DETECTED, or FAILURES PRESENT — with the count of each flag type and the single most likely thing to investigate next.

Output

  • Markdown timeline table, events in strict timestamp order.
  • Status glyphs inline: ✅ ok, ❌ error, ⚠️ warning/unpaired, ⏳ gap, ♻️ compaction, 🚩 missing bookend.
  • Currency in USD to 4 decimals.
  • Cite only event data returned by the API — do not invent timestamps or summaries.
  • If the dashboard is unreachable, tell the user to start it with npm start from the repo root.

レビュー

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。

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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。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

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。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

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。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

benchmark

無料

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。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

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。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

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。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

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