Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API. Cross-checks the orchestration dataset against the raw agent records and session detail. Use when visualizing how a session's agent structure was organized.
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。
Render the subagent orchestration graph for one Claude Code session as a depth-ordered DAG.
The user provides: $ARGUMENTS
A session ID. If empty, fetch GET /api/sessions?limit=1 and use the most recent session, stating which one you picked.
| Endpoint | Returns |
|---|---|
GET /api/workflows/{sessionId} | The orchestration dataset: DAG nodes (agent id, type, model, status, depth) and parent→child edges |
GET /api/agents | Raw subagent records (status, type, depth, parent) to cross-check node/edge counts |
GET /api/sessions/{sessionId} | Full session detail with nested agents[] to confirm the root and total agent count |
From orchestration: the root agent, total agent count, max depth, and max fan-out (most children under any one parent). Confirm the agent count against /api/agents filtered to this session.
Every parent→child edge, grouped by depth, formatted as:
depth d: parent[model] → child[type, status]
Mark leaf agents (no children) and any orphan nodes (a parent that is not present in the node set).
| Depth | Agents at depth | Children spawned | Avg fan-out |
|---|
A simple indented tree rendering of the DAG, e.g.:
root [opus, completed]
├─ explore [sonnet, completed]
└─ code-review [sonnet, error]
└─ debugger [sonnet, completed]
npm start from the repo root.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。