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Analyzes Claude Code session traces (JSONL) and draft task files to report token usage per task. Use when asked about token usage, session costs, or task efficiency metrics.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Lists, pairs, deduplicates, and moves task files across the Coworker task state machine (0draft → 6git-pushed). Use when asked to organize, clean up, or audit task files.
Extracts text and tables from PDF files, fills PDF forms, and creates/merges/splits PDF documents. Use when users mention PDFs, forms, document extraction, or PDF generation.
Guide for creating advanced-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Validates data against common and custom rules (required fields, formats, ranges). Use when checking data quality, input validation, or enforcing schemas and constraints.
Automatically fills web forms using provided field data and can optionally submit the form. Use when automating form input, testing forms, or submitting structured data to websites.
| name | task-token-usage |
| title | Task Token Usage — List tasks with their token consumption |
| description | Analyzes Claude Code session traces (JSONL) and draft task files to report token usage per task. Use when asked about token usage, session costs, or task efficiency metrics. |
| allowed-tools | Bash(python3:*) |
Analyzes Claude Code conversation traces to report token consumption per task.
~/.claude/projects/<project>/ for JSONL session tracesinput_tokens, output_tokens, cache_read_input_tokens from each assistant messagecoworker/tasks/issues/draft/Run the bundled script:
python3 coworker/skills/task-token-usage/scripts/list-tasks.py [OPTIONS]
| Flag | Description |
|---|---|
--recent N | Only show sessions from last N hours (default: 24) |
-d, --detail | Per-session breakdown instead of grouped summary |
-a, --all | Show all sessions (no time filter) |
# Summary of last 12 hours
python3 coworker/skills/task-token-usage/scripts/list-tasks.py --recent 12
# Detailed per-session view for all time
python3 coworker/skills/task-token-usage/scripts/list-tasks.py --all --detail
# Default: last 24 hours, grouped summary
python3 coworker/skills/task-token-usage/scripts/list-tasks.py
| Column | Description |
|---|---|
| Task | Task name (matched from draft files or first step description) |
| Runs | Number of evaluation sessions for this task |
| In Tok | Total input tokens across all runs |
| Out Tok | Total output tokens across all runs |
| Cache | Total cache-read + cache-creation tokens |
| TOTAL | Sum of all tokens |
| Avg/run | Average total tokens per run |
| Column | Description |
|---|---|
| Time | When the session ended |
| Task | Matched task name |
| In | Input tokens |
| Out | Output tokens |
| CacheR | Cache-read tokens |
| TOTAL | Total tokens |
| Model | AI model used |
The script does not compute cost, but you can estimate:
| Model | Input (per 1M) | Output (per 1M) | Cached (per 1M) |
|---|---|---|---|
| claude-sonnet-4.6 | $3.00 | $15.00 | $0.30 |
| claude-opus-4 | $15.00 | $75.00 | $1.50 |
| claude-haiku-4.5 | $1.00 | $5.00 | $0.10 |
Cache tokens account for ~96% of total usage in typical evaluation sessions.