monitoring — community monitoring, inspect-action, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Ideal for AI Agents like Cursor and AutoGPT requiring advanced job monitoring capabilities with Hawk logs and status subcommands. Running UK AISI's Inspect in the Cloud

METR METR
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The monitoring skill by METR is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Ideal for AI Agents like Cursor and AutoGPT requiring advanced job monitoring capabilities with Hawk logs and status subcommands.

Core Value

Empowers agents to monitor running or completed Hawk jobs using the `hawk logs` command or `hawk status` subcommands, providing real-time insights into job execution and logs, utilizing parameters like `JOB_ID` for specific job monitoring.

Capabilities Granted for monitoring

Monitoring Hawk job execution with real-time log updates
Debugging failed jobs using the `hawk logs` command
Tracking job status with the `hawk status` subcommand for efficient workflow management

! Prerequisites & Limits

  • Requires Hawk job execution context
  • Optional `JOB_ID` parameter may default to last used eval set ID if omitted
Labs Demo

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monitoring

Install monitoring, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Hawk Job Monitoring

Monitor running or completed Hawk jobs using the hawk logs command or hawk status subcommands.

Job ID

The JOB_ID parameter is the eval_set_id or scan_run_id from when the job was submitted.

JOB_ID is optional. If omitted, uses the last eval set ID that was used or received.

Available Commands

1. View Logs (Shorthand)

The hawk logs command shows logs:

bash
1hawk logs # Show last 100 logs (all types) 2hawk logs <JOB_ID> # Show last 100 logs for job 3hawk logs -n 50 # Show last 50 lines

Options:

  • -n, --lines N - Number of lines to show (default: 100)

Note: Do NOT use the -f/--follow flag - it blocks indefinitely and is intended for interactive terminal use only.

2. View status

Generate a full monitoring report with logs, metrics, and other details:

bash
1hawk status # Use last job ID 2hawk status <JOB_ID> # Print report to stdout 3hawk status <JOB_ID> > report.json # Save to file

Options:

  • --hours {hours} - Fetch logs from last N hours (default: 24 hours)

Common Workflows

Check job progress

bash
1hawk logs

Generate full report for analysis

bash
1hawk status > report.status

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is monitoring?

Ideal for AI Agents like Cursor and AutoGPT requiring advanced job monitoring capabilities with Hawk logs and status subcommands. Running UK AISI's Inspect in the Cloud

How do I install monitoring?

Run the command: npx killer-skills add METR/inspect-action/monitoring. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for monitoring?

Key use cases include: Monitoring Hawk job execution with real-time log updates, Debugging failed jobs using the `hawk logs` command, Tracking job status with the `hawk status` subcommand for efficient workflow management.

Which IDEs are compatible with monitoring?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for monitoring?

Requires Hawk job execution context. Optional `JOB_ID` parameter may default to last used eval set ID if omitted.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add METR/inspect-action/monitoring. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use monitoring immediately in the current project.

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