Task Token Usage

CommunityPopular

platonai

task-token-usage

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.

Overview

Publisher	platonai
Repository	`Browser4`
Skill name	`task-token-usage`
Stars	1.2K
Forks	152
Bundled files	1
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by platonai on GitHub. Read the source before you install it.

Installation

Install the Task Token Usage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/platonai/Browser4/tree/main/coworker/skills/task-token-usage
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/platonai/Browser4.git /tmp/Browser4
mkdir -p .claude/skills
cp -r /tmp/Browser4/coworker/skills/task-token-usage .claude/skills/task-token-usage

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Task Token Usage in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Task Token Usage on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Task Token Usage is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

bash
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

bash
# 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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/list-tasks.py9 KB

Frequently asked questions

What does the Task Token Usage AI skill do?

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.

Why use Task Token Usage on TypingMind?

Because you install it once and use it with any model. Task Token Usage is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Task Token Usage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/platonai/Browser4/tree/main/coworker/skills/task-token-usage. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Task Token Usage?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Task Token Usage?

As many as you like. As long as a model supports skills, you can use Task Token Usage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Task Token Usage AI skill free?

Yes. It is published on GitHub by platonai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Task Token Usage

When to Use

How It Works

Usage

Options

Examples

Output Columns (Summary Mode)

Output Columns (Detail Mode)

Token Pricing (Approximate)

Bundled files

Frequently asked questions

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