LaunchKit · 2026
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arc-metrics-dashboard

Track and visualize your agent's operational metrics.

0
531 downloads
by @trypto1019

Setup & Installation

openclaw skills install @trypto1019/arc-metrics-dashboard

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install arc-metrics-dashboard

What This Skill Does

Records operational metrics for agents: API calls, task completions, errors, and timed durations. Generates text-based dashboards and exports data as JSON or CSV. Data is stored as daily JSON files in ~/.openclaw/metrics/ with no database required.

Stores metrics as flat JSON files with no database or infrastructure setup, making it usable immediately in any agent environment.

When to use it

  • Tracking API call volume across providers over a week
  • Monitoring error rates during overnight agent runs
  • Measuring average task duration after a code change
  • Identifying which skills an agent uses most frequently
  • Exporting daily metrics to CSV for external analysis

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: What's my agent's error rate and average API call duration this week?

AGENT
  1. 1Run metrics.py view --name api_calls --period week to retrieve API call history
  2. 2Run metrics.py view --name errors --period week to check recorded error events
  3. 3Run metrics.py dashboard to generate a summary showing error rate and average durations
  4. 4Run metrics.py export --format json to save full data for external review
OUTPUT

Text dashboard showing weekly API call count, error rate, average task duration, and a JSON export file with complete metric history