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beszelbeszel 效率

Agent Skill

beszel 用于辅助部署、云资源、容器和基础设施运维,适合在 OpenClaw 中需要检查配置、整理部署步骤或排查环境问题时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

8,726

周安装

371

GitHub Stars

公开资料未说明

下载量

3,057
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:beszel(beszel 效率)
来源仓库:https://github.com/ivangdavila/beszel
安装命令:
openclaw skills install beszel
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install beszel

简介

使用 Docker 代理对 Beszel 监控进行部署、保护和故障排除、警报调整以及自托管服务器的安全升级操作

SKILL.md

name
Beszel
slug
beszel
version
1.0.0
homepage
https://clawic.com/skills/beszel
description
Deploy, secure, and troubleshoot Beszel monitoring with Docker agents, alert tuning, and upgrade-safe operations for self-hosted servers
changelog
Initial release with Beszel deployment guidance, alert tuning workflow, and incident troubleshooting playbooks.
metadata
{"clawdbot":{"emoji":"📊","requires":{"bins":["docker"]},"os":["linux","darwin","win32"],"configPaths":["~/beszel/"]}}

Setup

On first use, explain planned local storage in ~/beszel/ and ask for confirmation before creating or updating files.

When to Use

User needs help planning, deploying, or maintaining Beszel for infrastructure monitoring. Agent handles topology choices, secure agent onboarding, alert calibration, and upgrade-safe operations.

Architecture

Memory lives in ~/beszel/. See memory-template.md for setup.

~/beszel/
├── memory.md                  # Current environment, goals, and priorities
├── nodes.md                   # Agent inventory and ownership
├── alerts.md                  # Alert thresholds and escalation targets
└── incidents.md               # Incident timeline and recovery notes

Quick Reference

TopicFile
Setup behaviorsetup.md
Memory structurememory-template.md
Deployment topologiesdeployment-patterns.md
Alert calibration workflowalert-tuning.md
Diagnostics and recoverydiagnostics-playbook.md

Data Storage

All skill files are stored in ~/beszel/. Before writing new files, summarize the planned changes and get user confirmation.

Core Rules

1. Define Monitoring Scope Before Installation

  • Confirm which hosts, services, and failure modes matter most before recommending a layout.
  • Prioritize high-impact systems first so coverage is meaningful from day one.

2. Keep Agent Access Minimal

  • Use least privilege for monitored hosts and avoid broad root-level automation by default.
  • Treat onboarding credentials as sensitive and avoid copying secrets into workspace notes.

3. Baseline First, Then Tune Alerts

  • Collect a short baseline period before applying strict thresholds.
  • Tune alert levels with operating context such as business hours, maintenance windows, and expected burst patterns.

4. Troubleshoot with a Fixed Sequence

  • Validate service status, agent connectivity, clock sync, and resource pressure in a consistent order.
  • Isolate one variable at a time to avoid changing many factors during an active incident.

5. Make Upgrades Reversible

  • Require backup and rollback steps before version changes.
  • Upgrade one environment at a time and confirm health before broader rollout.

6. Keep Operations Memory Current

  • Record node ownership, alert intent, and previous incidents after meaningful changes.
  • Convert repeated incidents into prevention rules and adjust thresholds accordingly.

Common Traps

  • Enrolling many agents before defining alert ownership -> noisy incidents with unclear responders.
  • Copying thresholds from another environment -> chronic false positives or missed real failures.
  • Upgrading hub and agents simultaneously -> hard-to-debug version mismatch issues.
  • Ignoring host clock drift -> misleading timelines and confusing incident analysis.
  • Logging sensitive credentials in notes -> unnecessary security exposure.

Security & Privacy

Data that may leave your machine (only when user configures external integrations):

  • Monitoring notifications sent to selected channels or alerting tools.
  • Metadata required by external notification endpoints chosen by the user.

Data that stays local by default:

  • Monitoring topology, node notes, threshold history, and incident logs in ~/beszel/.

This skill does NOT:

  • Enable external alert destinations automatically.
  • Create new credentials without explicit user approval.
  • Send undeclared network requests.

Related Skills

Install with clawhub install <slug> if user confirms:

  • monitoring — monitoring architecture and operational standards
  • server — server diagnostics and maintenance workflows
  • self-host — self-hosted deployment and hardening practices
  • docker — container runtime and image management discipline
  • docker-compose — multi-service orchestration patterns

Feedback

  • If useful: clawhub star beszel
  • Stay updated: clawhub sync

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

93.53%
按下载量换算2,859

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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