Session Report

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 1f059c400d07 · 16 Oct 2026Report an issue or request a re-scan

• Publisherhoangsonww GitHub userOwner of the repository this skill is read from
• Source folderhoangsonww/Claude-Code-Agent-Monitor/plugins/ccam-analytics/skills/session-reportThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict1f059c400d07A new audit runs when the source changes
• Repository statusNot archivedLast push 4 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: 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,…

---
name: session-report
description: >
  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_blocks` count, `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_tokens` per model (baselines are pre-summed into these totals at the DB level)
- **Cost formula**: `(tokens / 1,000,000) × rate_per_mtok` for 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)

### 2. Token Usage (per model)
Include these columns: Model, Input, Output, Cache Read, Cache Write, and Total.
Show **effective totals** (current + baseline) since baselines preserve tokens lost during compaction. Calculate cache hit rate: `cache_read / (cache_read + input) × 100`.

### 3. Cost Breakdown
From `/api/pricing/cost/{id}` — show each model's cost with the matched pricing rule. Note rates are per million tokens.

### 4. Agent Hierarchy
Render the agent tree (main → subagents, with nested children). For each agent: name, type, subagent_type, status, task (first 60 chars), duration.

### 5. Tool Activity
Count `PreToolUse` events by `tool_name`. Flag tools that appear in error events. Note subagent spawns (`tool_name = "Agent"`).

### 6. Compaction & Context Health
- Count of `Compaction` events (each = context was compressed)
- Baseline tokens recovered (sum of baseline_* columns)
- Thinking block count from metadata

### 7. API Errors
List any `APIError` events with type (quota, rate_limit, overloaded) and message.

### 8. Timeline
Key lifecycle events: SessionStart → first tool → compactions → errors → Stop → SessionEnd. Include TurnDuration events.

## Output Format

Clean Markdown: executive summary line, structured tables, agent tree, numbered timeline. Bold key metrics.

Excerpt, first 3,725 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

1. 2026-10-16
   ✓SAFE B 89 / 100

   first audit · source 1f059c400d07

Questions about Session Report

• github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plug — the audited source at commit 1f059c400d07 and every finding aboveObserved · 16 Oct 2026

Spotted something wrong? Report a correction · Methodology