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Auto Monitor
作者
onlyloveher
· GitHub ↗
· v1.0.0
· MIT-0
153
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当前安装
1
版本数
在 OpenClaw 中安装
/install auto-monitor-zhouli
功能描述
主动监控系统状态。定期检查服务器健康，主动汇报，无需等待指令。
使用说明 (SKILL.md)
Auto Monitor
主动监控系统，主动发现问题。
能力轮廓
- 输入：系统状态
- 输出：健康报告 + 异常告警
- 核心：主动检查 → 及时汇报
工作流
1. 定期检查（每 N 分钟）
2. 检查项：
- 磁盘使用率
- 内存使用率
- CPU 负载
- 网络状态
- 进程状态
3. 异常判断
- 超过阈值？→ 主动告警
4. 汇报
- 正常：简洁汇报
- 异常：详细说明 + 建议
告警阈值
- 磁盘 > 80%
- 内存 > 85%
- CPU Load > 核数 × 0.8
主动性
- 不等用户问"服务器怎么样"
- 发现问题主动说
- 可以自动修复的立刻处理
安全使用建议
This skill's goal (automatic system monitoring) is reasonable, but its instructions are vague about how checks/reporting/fixes are performed. Before installing or enabling this skill: 1) Require the author to specify exact check commands, required binaries/tools, and whether elevated privileges (sudo) are needed. 2) Require explicit, auditable reporting endpoints (where alerts go) and ensure no external endpoints are implicit. 3) Disable fully autonomous remediation or require explicit confirmation for any fixes; prefer a 'suggested fix' workflow. 4) Run in a non-production/test environment first and enable detailed logging/audit so you can review actions. 5) If you must use it in production, limit the agent's permissions (least privilege), and restrict which remediation actions are allowed. If these clarifications are not provided, treat the skill as risky to enable autonomously.
能力评估
Purpose & Capability
Name/description (主动监控系统状态) align with the instructions to check disk, memory, CPU, network, and processes. However, the SKILL.md promises automatic remediation ('可以自动修复的立刻处理') yet the skill declares no required binaries, privileges, or configuration — a mismatch. Automatic fixes typically require specific tools, commands, or elevated privileges (sudo), which are not documented here.
Instruction Scope
Instructions are high-level and allow the agent to 'periodically check' many system aspects and '主动告警' and '自动修复' without specifying how to collect metrics, what commands to run, which files/paths to read, or where to send reports. That vagueness grants the agent broad discretion to run commands or read system state beyond what's necessary for safe monitoring.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — low install risk. Nothing will be written to disk by an installer. The risk arises from runtime actions the agent may take following the instructions, not from any installation steps.
Credentials
No environment variables, credentials, or config paths are requested — this limits explicit exfiltration risk. At the same time, the agent's runtime instructions imply it may need privileged access or external reporting endpoints (not declared), so the absence of declared requirements is notable and reduces transparency about where alerts or fixes might be sent or what privileges are needed.
Persistence & Privilege
always:false (good) and autonomous invocation is allowed (default). Autonomous invocation combined with unspecified automatic remediation increases risk because the agent could take corrective actions without explicit per-action approval. The skill also does not define safeguards like approval prompts, dry-run modes, or an allowlist of remediation actions.
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 auto-monitor-zhouli - 安装完成后，直接呼叫该 Skill 的名称或使用
/auto-monitor-zhouli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
v1.0.0
Initial release of auto-monitor-zhouli.
- Implements an automated monitoring system for server health.
- Periodically checks disk, memory, CPU, network, and process status.
- Proactively reports health status and alerts on abnormal conditions.
- Sends concise reports when normal; detailed alerts and suggestions on anomalies.
- Supports immediate auto-remediation for certain issues.
元数据
常见问题
Auto Monitor 是什么？
主动监控系统状态。定期检查服务器健康，主动汇报，无需等待指令。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 153 次。
如何安装 Auto Monitor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install auto-monitor-zhouli」即可一键安装，无需额外配置。
Auto Monitor 是免费的吗？
是的，Auto Monitor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Auto Monitor 支持哪些平台？
Auto Monitor 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Auto Monitor？
由 onlyloveher（@onlyloveher）开发并维护，当前版本 v1.0.0。
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