# agent-dashboard

> agent-dashboard — tahseen137-agent-dashboard. Use this tool when you need to monitor and manage agent performance in real-time, solving problems related to agent visibility and control. The agent-dashboard provides a user-friendly interface for inputting agent configurations and outputs real-time performance metrics and alerts. It is ideal for use cases requiring centralized agent management, such as monitoring agent status, tracking performance, and optimizing overall system efficiency.

Canonical page: https://skillsregistry.net/skills/tahseen137-agent-dashboard  
JSON: https://api.skillsregistry.net/v1/skills/tahseen137-agent-dashboard

## Description

Real-time agent dashboard for OpenClaw.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/tahseen137-agent-dashboard)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tahseen137-agent-dashboard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tahseen137-agent-dashboard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tahseen137-agent-dashboard/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt