statb-dashboard for Openclaw

A real-time progress monitoring skill that allows AI agents to push live numeric metrics to a web-based dashboard using simple curl commands.

qianlong2005
v1.0.0
Apr 15, 2026
1
761
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install statb

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 statb 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 statb-dashboard?

The statb-dashboard skill is a lightweight integration for Openclaw Skills that enables AI agents to provide visual feedback during long-running or multi-step operations. By utilizing the statb.io platform, agents can transmit real-time data such as progress percentages, error counts, and system performance without requiring complex SDKs, API keys, or user accounts.

This tool is specifically designed to solve the 'black box' problem of AI task execution. Instead of waiting blindly for an agent to finish a complex script or data migration, users can monitor a live-updating board in their browser. The skill leverages a simple HTTP-based protocol, making it universally compatible with any environment that supports curl.

statb-dashboard Use Cases

  • Monitoring long-running data migrations or database indexing tasks.
  • Tracking progress during large-scale web scraping or file conversion batches.
  • Visualizing training metrics like loss and accuracy during machine learning loops.
  • Reporting real-time deployment status and health checks in CI/CD pipelines.
  • Keeping users updated on multi-step coding refactors or codebase analysis.

How statb-dashboard Works

  1. The agent generates a unique, hyphenated board ID (e.g., task-label-suffix) and provides the statb.io URL to the user.
  2. An initial push is executed to initialize the board with starting values and a 'running' status.
  3. During the task execution, the agent triggers recurring curl calls within loops or after logical milestones to update metrics.
  4. The agent uses specific syntax for values, either setting a fixed number or incrementing/decrementing existing counters.
  5. Upon task completion, a final push updates the status to 'finished' and records terminal metrics like total duration.

statb-dashboard Setup

The statb-dashboard skill requires the curl binary to be available in the agent's environment. No further installation is needed as it communicates directly with the statb.io API.

# Example of a basic push to initialize a board
curl -s 'https://statb.io/b/your-unique-id/push?status=1&total_steps=100&completed=0'

statb-dashboard Data Schema & Taxonomy

The skill manages data through simple key-value pairs representing numeric metrics. It supports the following taxonomy:

Data Type Syntax Description
Set Value key=42 Overwrites the current key with a specific integer or float.
Increment key=+1 Adds the specified value to the current total (defaults to 0).
Decrement key=-1 Subtracts the specified value from the current total.
Status status=1 Conventionally used to indicate active (1) or finished (0) tasks.

All keys should be lowercase and underscore-separated for optimal visualization on the dashboard.

statb-dashboard Advanced Features

  • Real-time Counters: Use incrementing syntax to track successes and failures across parallel processes without race conditions.
  • Unauthenticated Dashboards: Create instant, public-facing monitoring boards with zero configuration or sign-up overhead.
  • Multi-Metric Payloads: Push up to 16 different keys in a single request to provide a holistic view of system health and task progress.
  • Non-blocking Operations: Silent curl execution ensures that dashboard updates do not interrupt or crash the primary agent workflow.

SKILL.md


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