Usage Visualizer for Openclaw

An advanced analytics engine that transforms raw session logs into professional visual reports and text summaries with 100% local processing.

vintlin
v1.1.3
Feb 22, 2026
2
1.8k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install usage-visualizer

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install usage-visualizer 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 Usage Visualizer?

Usage Visualizer is a specialized high-fidelity analytics engine designed to provide deep insights into agent activity. By analyzing raw session logs, it generates professional, actionable visual reports and data summaries, making it a vital component among Openclaw Skills for developers who need to audit or showcase agent performance.

This tool is built with a privacy-first architecture, featuring audit-verified security and zero network dependencies. All processing occurs locally, ensuring that credentials and sensitive workspace data remain completely private while still delivering the high-quality visual reporting required for professional workflows.

Usage Visualizer Use Cases

  • Monitoring daily agent performance and task completion rates through automated visual dashboards.
  • Generating weekly visual summaries for team reporting or project auditing.
  • Debugging complex session workflows by reviewing structured text-based usage summaries.
  • Providing audit-verified activity logs in privacy-sensitive or air-gapped environments using Openclaw Skills.

How Usage Visualizer Works

  1. The skill identifies and accesses local session logs stored within the specified environment.
  2. It synchronizes the data and processes raw logs using a local Python-based analytics engine.
  3. Based on the user's request, it triggers Chromium to render high-fidelity visual reports or compiles text summaries.
  4. The resulting report is saved as a local PNG or JSON file.
  5. AI agents follow a strict delivery protocol to verify the file's existence and deliver it via secure messaging tools.

Usage Visualizer Setup

To integrate this tool into your library of Openclaw Skills, ensure you have Python 3 and Chromium installed, then configure your workspace and dependencies:

# Set your workspace environment
export OPENCLAW_WORKSPACE=/your/workspace/path

# Install the required Python dependencies
pip3 install -r requirements.txt

Usage Visualizer Data Schema & Taxonomy

The skill organizes data locally to maintain privacy while providing structured insights. The following table describes the data management approach:

Component Description
Session Logs Raw activity data sourced directly from the local workspace.
Visual Output High-fidelity PNG files generated for visual reporting.
Text Output JSON-formatted summaries for programmatic analysis.
Metadata Local taxonomy used to categorize usage by period (day/week).

Usage Visualizer Advanced Features

  • High-fidelity image generation for professional-grade visual reporting.
  • Dual-mode operation supporting both visual PNG reports and structured JSON text summaries.
  • Seamless integration with other Openclaw Skills via standard JSON output formats.
  • Mandatory delivery protocols for agents to ensure secure and verified file handling.
  • 100% local processing with zero external API calls or network requirements.

SKILL.md


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