Automates the generation of token consumption dashboards and sends visual reports to Feishu.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install token-report
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 token-report 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 Token Report?
The Token Report skill is a specialized utility designed for teams using Openclaw Skills to maintain transparency over their AI resource usage. It transforms raw usage data from multiple agent instances—such as main sessions and sub-agents like Selina or Tars—into a high-quality visual dashboard within the Canvas environment. By automating the reporting lifecycle, it removes the manual effort of tracking token costs and context window limits, providing a professional snapshot of system health directly within your team communication tools.
Token Report Use Cases
- Tracking daily token consumption across different agent profiles like Selina and Tars.
- Providing stakeholders with visual updates on AI resource budgets via Feishu.
- Visualizing context window utilization to prevent session overflows during complex tasks.
- Creating a visual record of usage spikes during intense development sprints using Openclaw Skills.
How Token Report Works
- Data Collection: The skill retrieves current token and context usage stats for specified sessions.
- Presentation: It uses the canvas action=present command to render a dark-themed HTML dashboard containing usage metrics.
- Capture: The browser action=screenshot command takes a high-resolution image of the rendered dashboard using a dedicated profile.
- Delivery: The resulting screenshot is automatically sent to the target Feishu chat via the message action=send function.
Token Report Setup
To deploy this within your Openclaw Skills library, follow these steps:
- Ensure your system meets the darwin (macOS) requirement.
- Identify your target Feishu chat ID for the reporting group.
- Update the target parameter in the skill configuration to match your chat ID:
# Update the target chat ID
target=chat:your_unique_feishu_id
- Verify that the browser tool is configured with the openclaw profile for consistent screenshot rendering.
Token Report Data Schema & Taxonomy
The skill organizes reporting data using a structured HTML template before conversion. The data points include:
| Metric | Description | Source |
|---|---|---|
| Main Tokens | Token count for the primary conversation | Agent Session |
| Sub-Agent Tokens | Consumption for Selina and Tars agents | Agent Session |
| Context % | Percentage of the context window currently utilized | System Metadata |
| Timestamp | Date and time of the report generation | System Clock |
Token Report Advanced Features
- Customizable HTML templates allow for personalized branding and additional data fields.
- Multi-agent tracking capability provides a holistic view of complex multi-agent workflows.
- Seamless integration with the Openclaw Skills messaging protocol for automated delivery to Feishu.
- Visual reporting ensures that context window saturation is easily monitored by non-technical stakeholders.
SKILL.md
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