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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 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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| 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.