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Agentbay Monitor Skills

Listed
agentbay-ai·vlatest·agents

Continuously tracks agent performance metrics, identifies anomalies, and flags potential skill improvement areas within AgentBay.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add agentbay-ai/agentbay-skills --skill agentbay-monitor-skills -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

agentbay-ai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 9 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: agentbay.console.aliyun.com, cdn.jsdelivr.net, s.weibo.com, weibo.com, www.baidu.com….

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    www.xiaohongshu.comundeclaredweibo.comundeclareds.weibo.comundeclaredwww.douyin.comundeclaredwww.zhihu.comundeclaredwww.bing.comundeclaredwww.baidu.comundeclaredagentbay.console.aliyun.comundeclaredwww.w3.orgstandardscdn.jsdelivr.netundeclared

    What it found (3 of 15)

    • agentbay-monitor-skills/scripts/crawler/platform_config.py:52contacts www.xiaohongshu.com
      base_url="https://www.xiaohongshu.com",
    • agentbay-monitor-skills/scripts/crawler/platform_config.py:53contacts www.xiaohongshu.com
      search_url="https://www.xiaohongshu.com/search_result",
    • agentbay-monitor-skills/scripts/crawler/platform_config.py:65contacts weibo.com
      base_url="https://weibo.com",

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned agentbay-ai/agentbay-skills at 893876e4f7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
893876e4f7
Manifest
agentbay-monitor-skills/SKILL.md
Scanned
16 files, 2,599 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The agentbay-monitor-skills skill provides real-time monitoring of AI agent activity and performance. It tracks key metrics like task completion rates, error occurrences, and resource utilization. This allows for proactive identification of issues and optimization of agent workflows to ensure efficient operation.

When to use it

  • Troubleshooting Agent Errors: Quickly identify the root cause of failed tasks or unexpected behavior in your AI agents.
  • Performance Optimization: Pinpoint bottlenecks and areas where agent efficiency can be improved, such as slow task processing times.
  • Resource Management: Monitor resource consumption (e.g., API calls, memory usage) to prevent overloads and control costs.
  • Proactive Issue Detection: Set up alerts for unusual activity or performance degradation before they impact user experience.

Key capabilities

  • Real-time task tracking
  • Error logging and analysis
  • Resource utilization monitoring
  • Performance metric reporting

Example prompts

  • "Show me the error rate for agent X over the last hour."
  • "What is the average task completion time for agent Y today?"
  • "Alert me if agent Z's memory usage exceeds 80%."

Tips & gotchas

The skill requires access to agent logs and performance data. Ensure proper permissions are configured for the AI agent to share this information with the monitoring system.