Calculate a productivity score using actual Agent Monitor metrics — session completion rates, cache efficiency (cache_read vs input), compaction pressure (baseline tokens), turn velocity (turn_count / total_turn_duration_ms), tool success ratio (PreToolUse vs PostToolUse), and the workflow intelligence API's complexity and effectiveness scores.
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。
Calculate a productivity scorecard from the Agent Monitor's real data.
The user provides: $ARGUMENTS
Options: "today", "this week", "last 30 days", a session ID, or "compare" for period comparison.
| Endpoint | Returns |
|---|---|
GET /api/analytics | Token totals (total_input, total_output, total_cache_read, total_cache_write — baselines pre-summed), tool_usage top 20, daily_events/sessions, event_types, sessions_by_status, agents_by_status, avg_events_per_session, total_subagents |
GET /api/sessions?limit=100 | Sessions with metadata JSON: thinking_blocks, turn_count, total_turn_duration_ms, usage_extras (service_tier, speed, inference_geo) |
GET /api/pricing/cost | Total cost with per-model breakdown |
GET /api/workflows/{sessionId} | 11 workflow datasets: stats, orchestration, toolFlow, effectiveness, patterns, modelDelegation, errorPropagation, concurrency, complexity, compaction, cooccurrence |
From sessions_by_status:
completed / (completed + error + abandoned) × 100From analytics tokens (baselines are pre-summed into totals):
total_cache_read / (total_cache_read + total_input) × 100
total_output / total_input — 0.3–0.8 is balancedFrom event_types:
PostToolUse / Count PreToolUse — should be ~1.0; gap = tool failuresAPIError / total events — should be near 0effectiveness data: subagent completion rates, task success per typeFrom session metadata:
turn_count across sessionstotal_turn_duration_ms / turn_count — lower = fasteravg_events_per_session in analytics overviewthinking_blocks — more thinking = more thorough (neutral metric)From pricing:
total_cost / completed_sessionsWeighted sum → letter grade:
═══════════════════════════════════════
PRODUCTIVITY SCORE: 87/100 (B+)
═══════════════════════════════════════
Completion Rate ████████░░ 80/100
Token Efficiency █████████░ 92/100
Tool Effectiveness████████░░ 85/100
Velocity █████████░ 88/100
Cost Efficiency █████████░ 90/100
═══════════════════════════════════════
Then: top 3 strengths, top 3 improvement areas with actionable steps, and period comparison if available.
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。