task-token-usage

Productivity

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.

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Source SKILL.md: https://github.com/platonai/Browser4/blob/HEAD/coworker/skills/task-token-usage/SKILL.md

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Task Token Usage

Analyzes Claude Code conversation traces to report token consumption per task.

When to Use

"list tasks with token usage"
"show me token usage for each task"
"how many tokens did task X use?"
"what tasks ran in the last N hours?"
"compare token usage across tasks"

How It Works

Scans ~/.claude/projects/<project>/ for JSONL session traces
Extracts input_tokens, output_tokens, cache_read_input_tokens from each assistant message
Optionally matches sessions to draft task files in coworker/tasks/issues/draft/
Prints a summary table grouped by task

Usage

Run the bundled script:

python3 coworker/skills/task-token-usage/scripts/list-tasks.py [OPTIONS]

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)

Examples

# 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

Output Columns (Summary Mode)

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

Output Columns (Detail Mode)

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

Token Pricing (Approximate)

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.