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System Maintenance Test

作者 jazzqi · GitHub ↗ · v1.3.2 · MIT-0
cross-platform ⚠ suspicious
370
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install system-maintenance-test
功能描述
Complete maintenance system for OpenClaw with unified architecture, filesystem governance, and cross-platform design
安全使用建议
This skill promises system-level maintenance but the distributed package only contains SKILL.md and package.json — the actual scripts it tells you to run are not bundled and must be fetched from the GitHub repo or installed via bunx. Fetching and executing remote install scripts (one-click install) can run arbitrary commands with your user privileges and alter crontab, backups, and services. Before installing: (1) inspect the remote repository contents and open the install scripts to verify what they do; (2) check whether the install requires sudo or will modify system-critical files; (3) prefer running the install in a disposable VM/container or a staging machine first; (4) verify the GitHub repo owner, commit history, and issues for signs of trustworthiness; (5) if you need the skill but want lower risk, request the maintainer publish the scripts inside the skill bundle or provide an install spec with a vetted release tarball. If you cannot audit the scripts or trust the source, do not run the one-click install on production systems.
功能分析
Type: OpenClaw Skill Name: system-maintenance-test Version: 1.3.2 The skill bundle describes a comprehensive system maintenance suite with high-privilege capabilities, including cron job modification, service management (pkill), and automated shell script execution (e.g., install-maintenance-system.sh, daily-maintenance.sh). While the stated intent is legitimate system upkeep, the broad permissions requested for filesystem governance and service recovery are inherently risky. Furthermore, the actual logic within the shell scripts and entry.js is not provided for verification, and the 'system-maintenance-test' slug suggests an experimental or non-production status.
能力评估
Purpose & Capability
The SKILL.md describes a full maintenance system (cron jobs, backups, auto-recovery) which would legitimately require scripts that modify system state — that aligns with the stated purpose. However, the skill bundle itself only contains package.json and SKILL.md (no entry.js, no scripts/ directory), so the instructions assume fetching and executing code from the external GitHub repo or via bunx. That mismatch (declared project files absent from the package) is an incoherence and increases risk.
Instruction Scope
Runtime instructions explicitly tell the agent/user to git clone a remote repo and run install/maintenance shell scripts that change crontab, run monitoring, perform backups, and recover services. Those actions necessarily access/modify system files and could run arbitrary commands. While this scope is expected for a maintenance tool, the instructions grant broad discretion to fetch and execute remote scripts — the skill text also references integrations (webhooks, external log forwarding) which broaden the data paths.
Install Mechanism
There is no install spec in the package; instead SKILL.md recommends 'bunx clawhub@latest install system-maintenance' or cloning a GitHub repo and running bash scripts. Pulling and executing scripts from a remote repository (even GitHub) and running one-click install scripts is higher risk because the fetched scripts can perform any system action. The bundle's package.json references an entry.js main that is not present, amplifying the inconsistency.
Credentials
The registry metadata declares no required env vars or credentials, which is appropriate for a generic maintenance skill. However, the documentation lists integration points (Slack, webhooks, external log aggregation, Prometheus/Grafana) but does not declare any corresponding environment variables or credential requirements; if those features are used later they will likely require tokens/credentials, so there's a gap between claimed integrations and declared environment needs.
Persistence & Privilege
The skill is not marked 'always' and allows normal autonomous invocation. The installation instructions will create persistent system side-effects (cron jobs, backups, services) via shell scripts — this is expected for a maintenance tool but is a significant persistence/power footprint. Because the skill bundle doesn't include the scripts, the agent would fetch and run external code to obtain that persistence.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install system-maintenance-test
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /system-maintenance-test 触发
  4. 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
v1.3.2
- Reorganized SKILL.md for easier navigation with a layered, progressive disclosure format. - Enhanced documentation for installation, architecture, configuration, and usage examples. - Consolidated backup and rollback instructions; included clear command references. - Cleaned up legacy backup file documentation. - No changes to core functionality announced in this version.
元数据
Slug system-maintenance-test
版本 1.3.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

System Maintenance Test 是什么?

Complete maintenance system for OpenClaw with unified architecture, filesystem governance, and cross-platform design. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 370 次。

如何安装 System Maintenance Test?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install system-maintenance-test」即可一键安装,无需额外配置。

System Maintenance Test 是免费的吗?

是的,System Maintenance Test 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

System Maintenance Test 支持哪些平台?

System Maintenance Test 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 System Maintenance Test?

由 jazzqi(@jazzqi)开发并维护,当前版本 v1.3.2。

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