A mesmerizing real-time pixel art visualizer that tracks and displays your AI token consumption across various LLM models.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ohmytoken-tracker
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ohmytoken-tracker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ohmytoken-tracker?
ohmytoken-tracker is an innovative utility within the Openclaw Skills ecosystem that converts the abstract concept of token spending into a tangible, creative experience. Instead of staring at dry logs or billing dashboards, this skill allows developers to visualize their AI interactions as dynamic pixel bead boards. Each AI model is assigned a distinct color palette—such as coral for Claude or green for GPT—creating a unique piece of generative art as you work.
Beyond simple aesthetics, this tool provides a gamified approach to monitoring developer productivity and resource management. By integrating directly with your AI workflows, ohmytoken-tracker offers a privacy-first way to see exactly how much you are consuming, helping you stay mindful of API costs while unlocking achievements and participating in a global community of AI enthusiasts.
ohmytoken-tracker Use Cases
- Monitoring real-time token consumption across different LLM providers during development sessions.
- Gamifying AI usage to hit productivity milestones and unlock developer achievements.
- Creating visual representations of AI project costs for personal review or team sharing.
- Generating embeddable SVG badges for GitHub READMEs to showcase active AI involvement.
- Comparing model efficiency and diversity through a social leaderboard within the Openclaw Skills community.
How ohmytoken-tracker Works
- The skill hooks into the Openclaw request lifecycle to intercept token metadata from prompt and completion cycles.
- It extracts four specific data points: the model name, prompt token count, completion token count, and a timestamp.
- This data is securely transmitted to the ohmytoken dashboard via an authenticated API request.
- The dashboard translates the token counts into colored pixels (beads) based on the model used and your selected board shape.
- Visualizations are rendered in real-time using various animations like spirals, rain, or center-out blooms.
ohmytoken-tracker Setup
Follow these steps to integrate this tool into your Openclaw Skills environment:
- Obtain your API key by signing in at ohmytoken.dev using GitHub or Google.
- Install the skill via your terminal:
openclaw skill install @0x5446/ohmytoken-tracker
- Configure your
openclaw.jsonfile by adding the following block:
{
"skills": {
"ohmytoken-tracker": {
"config": {
"api_key": "YOUR_OMT_API_KEY"
}
}
}
}
ohmytoken-tracker Data Schema & Taxonomy
The ohmytoken-tracker emphasizes privacy, ensuring that no sensitive conversation data is ever transmitted. The schema focuses strictly on quantitative metrics:
| Field | Description |
|---|---|
model_name |
The identifier of the LLM used (e.g., gpt-4o, claude-3-5-sonnet) |
prompt_tokens |
Total number of tokens sent in the prompt |
completion_tokens |
Total number of tokens generated in the response |
timestamp |
The exact time of the transaction |
All personal prompts, code, and local files remain strictly on your machine and are never accessed by the Openclaw Skills integration.
ohmytoken-tracker Advanced Features
- Multi-shape board support including cat, heart, star, and mushroom silhouettes.
- Advanced fill animations such as Tetris-style rain, snake, and diagonal transitions.
- Time-series filtering for daily, monthly, yearly, and all-time usage views.
- Automated generation of shareable pixel art cards with embedded QR codes for social proof.
- Global leaderboard participation based on model diversity and efficiency metrics.
SKILL.md
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