ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified developer tools Safety 4/5

Afrexai Agent Observability

Skill by 1kalin

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/1kalin/afrexai-agent-observability
Or

What This Skill Does

Afrexai Agent Observability is a comprehensive monitoring framework designed to provide ops teams with deep visibility into their AI agent fleets. As agent deployments scale from single instances to complex multi-agent systems, the complexity of debugging, cost tracking, and security auditing increases exponentially. This skill automates the evaluation of your agent infrastructure across six critical dimensions: Execution Visibility, Cost Attribution, Output Quality, Failure Recovery, Security & Boundaries, and Fleet Coordination.

By running this skill, you obtain a granular health score (0-100) that identifies exactly where your deployment is failing. It provides actionable intelligence, such as calculating cost-per-task, detecting hallucination loops, identifying unauthorized tool usage, and flagging duplicate work in multi-agent handoffs. The skill effectively moves teams from a 'blind' operational state to a 'production-grade' architecture by highlighting specific bottlenecks and providing a structured 90-day improvement roadmap.

Installation

To install this skill, run the following command in your terminal within the OpenClaw environment: clawhub install openclaw/skills/skills/1kalin/afrexai-agent-observability

Use Cases

  • Production Auditing: Regularly assess whether your deployed agents are within the defined safety and scope parameters to prevent drift.
  • Cost Optimization: Identify 'zombie' agents or inefficient loops that are driving up token consumption and cloud compute costs.
  • Failure Mitigation: Reduce Mean Time To Detection (MTTD) for agent errors from hours to minutes through automated alerting configurations.
  • Workflow Debugging: Analyze complex multi-agent handoffs to identify deadlocks or message-passing failures that degrade end-user experience.

Example Prompts

  1. "Run the agent observability assessment against our current deployment to check if we are experiencing any scope creep or hallucination loops."
  2. "Analyze our current fleet costs per task and provide a summary of the most expensive workflows over the last 30 days."
  3. "Generate a status report on our 90-day monitoring roadmap and highlight which areas currently have the lowest health scores."

Tips & Limitations

  • Tip: Run the assessment at least once a week to track the effectiveness of your remediation efforts.
  • Tip: Ensure you have tagging enabled for your agents, as the cost attribution engine relies on accurate labels to calculate spend.
  • Limitation: The skill requires read-access to your agent execution logs to provide accurate diagnostics; ensure your logging pipelines are active.
  • Limitation: Assessment scores are based on historical data; if your logs have limited retention, the analysis may lack depth for older timeframes.

Metadata

Author@1kalin
Stars4473
Views0
Updated2026-05-01
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-1kalin-afrexai-agent-observability": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#monitoring#observability#agent-ops#cost-management
Safety Score: 4/5

Flags: data-collection, external-api