A community-driven analytics dashboard for tracking token usage, model frequency, and costs for OpenClaw agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawpulse
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install clawpulse using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ClawPulse is a specialized analytics utility designed to bring transparency to your Openclaw Skills by providing a comprehensive dashboard for agent metrics. It allows developers to monitor their agent's activity, including token consumption and model performance, while strictly maintaining privacy by only collecting aggregate data. By integrating this skill, users can visualize their personal usage trends and see how their agents contribute to the broader ecosystem.
This tool acts as a bridge between your local agent sessions and a centralized community dashboard. It processes local logs to generate insights into tool usage and cost estimates, making it an essential companion for anyone looking to optimize their Openclaw Skills. Whether you are a solo developer or part of a larger team, ClawPulse offers the visibility needed to manage AI resource consumption effectively.
Install the required package via npm and authenticate your agent to begin tracking your Openclaw Skills:
npm install -g openclaw-pulse
You can then run the interactive setup:
clawpulse setup
Alternatively, if you have the GitHub CLI installed, you can configure it manually:
TOKEN=$(gh auth token)
mkdir -p ~/.clawpulse
echo "{\"apiUrl\":\"https://clawpulse.vercel.app\",\"githubToken\":\"$TOKEN\"}" > ~/.clawpulse/config.json
ClawPulse processes session data into an aggregate format. It focuses on quantity and metadata rather than content. The following table describes the data captured from your Openclaw Skills:
| Metric | Description |
|---|---|
| Token Usage | Totals for input, output, and cache operations. |
| Model Distribution | Count of calls per model (e.g., Claude 3.5 Sonnet). |
| Tool Invocations | Frequency of specific tool executions. |
| Cost Calculation | Estimated spend based on current API pricing tiers. |
| Session Totals | Count of messages and unique sessions processed. |
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