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gpu-cluster-monitor

Name: gpu-cluster-monitor
Author: sounderliu

作者 SounderLiu · GitHub ↗ · v1.0.2

cross-platform ⚠ suspicious

558

总下载

当前安装

版本数

在 OpenClaw 中安装

/install gpu-cluster-monitor

功能描述

Monitors GPU cluster health and usage, providing real-time status, performance metrics, and alerts for efficient resource management.

使用说明 (SKILL.md)

Skill: deep-scraper

Overview

A high-performance engineering tool for deep web scraping. It uses a containerized Docker + Crawlee (Playwright) environment to penetrate protections on complex websites like YouTube and X/Twitter, providing "interception-level" raw data.

Requirements

Docker: Must be installed and running on the host machine.
Image: Build the environment with the tag clawd-crawlee.
- Build command: docker build -t clawd-crawlee skills/deep-scraper/

Integration Guide

Simply copy the skills/deep-scraper directory into your skills/ folder. Ensure the Dockerfile remains within the skill directory for self-contained deployment.

Standard Interface (CLI)

docker run -t --rm -v $(pwd)/skills/deep-scraper/assets:/usr/src/app/assets clawd-crawlee node assets/main_handler.js [TARGET_URL]

Output Specification (JSON)

The scraping results are printed to stdout as a JSON string:

status: SUCCESS | PARTIAL | ERROR
type: TRANSCRIPT | DESCRIPTION | GENERIC
videoId: (For YouTube) The validated Video ID.
data: The core text content or transcript.

Core Rules

ID Validation: All YouTube tasks MUST verify the Video ID to prevent cache contamination.
Privacy: Strictly forbidden from scraping password-protected or non-public personal information.
Alpha-Focused: Automatically strips ads and noise, delivering pure data optimized for LLM processing.

安全使用建议

Do not install this expecting a GPU cluster monitor — the skill is actually a containerized deep web scraper. Before proceeding: 1) Verify the author's identity and source (homepage is missing). 2) Ask for the Dockerfile and review it; do not build/run the container until you inspect its contents. 3) Run any testing inside an isolated VM or sandbox with no sensitive mounts and restricted network access. 4) Be aware the code intercepts page network requests and performs UI automation; it can capture API responses or tokens if pointed at authenticated pages. 5) If you wanted GPU monitoring, reject this package and look for a different, clearly named skill that uses nvidia-smi / Prometheus exporters and requests only the credentials it needs. 6) If you must use this scraper, ensure it complies with target sites' terms of service and applicable law, and avoid running it with elevated privileges or mounting host directories containing secrets.

功能分析

Type: OpenClaw Skill Name: gpu-cluster-monitor Version: 1.0.2 The skill is classified as suspicious due to inherent security risks associated with its execution model and powerful capabilities, rather than explicit malicious intent. It utilizes Docker to run Playwright for 'deep web scraping' and 'penetrating protections,' which involves executing a browser with `--no-sandbox` and `--disable-setuid-sandbox` flags (in `assets/main_handler.js`), a known vulnerability risk for browser exploits. Furthermore, the `SKILL.md` instructs the agent to execute a `docker run` command with a user-provided `[TARGET_URL]`, which, if not properly sanitized by the OpenClaw agent, could lead to shell injection on the host machine. While the skill's code itself does not demonstrate malicious actions like data exfiltration or persistence, these vulnerabilities and the powerful nature of the scraping tool warrant a 'suspicious' classification.

能力评估

⚠ Purpose & Capability

Name and description claim a GPU cluster monitor, but SKILL.md and the included code implement a 'deep-scraper' (YouTube/X scraping with network interception). A GPU monitoring skill would not need Crawlee/Playwright or instructions for building a Docker scraper. This is a major mismatch.

⚠ Instruction Scope

The SKILL.md instructs building/running a containerized Playwright/Crawlee scraper that intercepts network requests, clears cookies, and triggers UI interactions to capture hidden APIs/transcripts. That scope goes beyond a resource monitor and includes actions that could capture sensitive network responses or personally identifiable content; the instructions also claim 'penetrate protections' which is concerning.

ℹ Install Mechanism

There is no formal install spec, but SKILL.md expects building a Docker image (clawd-crawlee). The manifest does not include a Dockerfile despite instructing the user to keep one in the skill directory. package.json declares crawlee/playwright dependencies and an openclaw docker requirement. Missing Dockerfile and mismatch between registry metadata and instructions is an inconsistency the user should verify.

⚠ Credentials

The skill requests no environment variables, but requires Docker (privileged capability to run containers) and network access; the scraping code listens to all page network requests and can fetch intercepted URLs. That capability is not justified by the registry name/description and could capture tokens or private API responses if misused.

ℹ Persistence & Privilege

always is false and the skill doesn't request system-wide config changes. However, it requires the ability to run Docker containers which grants substantial runtime privileges on the host; run-time container privilege should be considered when evaluating risk.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install gpu-cluster-monitor
安装完成后，直接呼叫该 Skill 的名称或使用 /gpu-cluster-monitor 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.2

- Version bump to 1.0.2 with no functional or documentation changes detected. - No file modifications; the skill remains unchanged.

v1.0.1

- Initial release of gpu-cluster-monitor skill (version 1.0.0) - No file changes detected for this version.

v1.0.0

Initial release of deep-scraper: a high-performance web scraping tool. - Provides deep web scraping via containerized Docker + Crawlee (Playwright) environment. - Bypasses protections on complex sites like YouTube and X/Twitter to extract raw data. - Outputs data as structured JSON for easy processing. - Enforces strict privacy: avoids password-protected and private data. - Auto-strips ads and non-essential content for clean LLM-ready output.

元数据

Slug gpu-cluster-monitor

版本 1.0.2

许可证 —

累计安装 0

当前安装数 0

历史版本数 3

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