
Session Report
Generate a comprehensive session report with per-model token usage (input, output...
Install
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill session-report -g -a claude-code -y- Repository
- hoangsonww/Claude-Code-Agent-Monitor1.1k
- Category
- AI and agents
- Updated
- 5d ago
- License
- MIT
- Context cost
- Lightabout 826 tokens
- Runs scripts
- No, instructions only
What it does
Generate a comprehensive session report with per-model token usage (input, output, cache_read, cache_write including compaction baselines), cost breakdown via the pricing engine, tool invocations, agent hierarchy, compaction events, API errors, turn durations, and thinking block counts. Use when reviewing a specific session or summarizing activity over a date range.
Session Report
Generate a detailed session report from the Claude Code Agent Monitor.
Input
The user provides: $ARGUMENTS
This may be a session ID, "latest", or a date range like "last 24 hours".
Data Sources
All data comes from the Agent Monitor API at http://localhost:4820:
| Endpoint | What it returns |
|---|---|
GET /api/sessions/{id} | Session with nested .agents[] and .events[] |
GET /api/sessions?limit=50 | Session list with agent_count, last_activity, and inline cost per session (bulk pricing applied server-side) |
GET /api/pricing/cost/{sessionId} | { total_cost, breakdown: [{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] } |
GET /api/events?session_id={id} | Event stream: each has event_type, tool_name, summary, data (JSON), created_at |
Key data points available per session
- Status:
active/completed/error/abandoned - Model: primary model (e.g.
claude-sonnet-4-20250514) - Metadata (JSON):
thinking_blockscount,turn_count,total_turn_duration_ms,usage_extras(service_tier, speed, inference_geo) - Token usage per model: Pricing breakdown reports
input_tokens,output_tokens,cache_read_tokens,cache_write_tokensper model (baselines are pre-summed into these totals at the DB level) - Cost formula:
(tokens / 1,000,000) × rate_per_mtokfor each of 4 token types, using longest-match pricing rule - Agent hierarchy: recursive parent_agent_id tree, subagent_type (e.g. "task", "explore", "code-review", "compaction")
- Event types:
PreToolUse,PostToolUse,Stop,SubagentStop,SessionStart,SessionEnd,Notification,Compaction,APIError,TurnDuration
Report Sections
1. Session Overview
- ID (first 16 chars), name, status, model, working directory
- Start → end time, total duration
- Turn count and avg turn duration (from metadata)

