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在 OpenClaw 中安装
/install tilannlou
功能描述
环境偵測協助檢查系統與硬體工具、Python套件、Docker及網路狀態,並匯出詳細結果與報告。
安全使用建议
This skill mostly describes an environment checker but also contains a management script that will modify your shell startup file, manage Docker containers, mount local model directories, and call a local Ollama API. Do not run the included scripts or blindly paste commands into a shell. Before using: (1) inspect every file line-by-line and confirm you trust the author; (2) do not allow writes to ~/.bashrc or automated docker run unless you want that behavior — consider removing those lines; (3) if you want to test, do so in a disposable VM/container or isolated test machine; (4) check for any references to external endpoints (host.docker.internal is local but docker run may pull images from Docker Hub); (5) if you don't run Ollama or don't want persistent containers, do not execute the manager script. If possible, ask the publisher for provenance and an explanation why Ollama management belongs inside an "environment detection" skill.
功能分析
Type: OpenClaw Skill
Name: tilannlou
Version: 1.0.0
The bundle contains a comprehensive environment checking and management suite, including a Python-based system auditor (main.py and the checkers/ directory) and a Bash management script (claw-manager.sh). The tools are designed to monitor hardware status (CPU, GPU, RAM), verify software dependencies (Python, Git, Docker), and manage Ollama AI model lifecycles. While the scripts perform high-privilege operations such as modifying ~/.bashrc for environment variables, managing Docker containers, and executing system commands via subprocess, these actions are transparently documented and strictly aligned with the stated purpose of environment maintenance. No evidence of data exfiltration, unauthorized persistence, or malicious prompt injection was found.
能力评估
Purpose & Capability
The name/description promise system, hardware, Python, Docker and network checks; the SKILL.md does include a full 'env_checker' project layout and checkers which matches that. However, the included shell management script (claw-manager.sh content inside 環境管理腳本.ini) is focused on configuring and controlling a local Ollama runtime (writing OLLAMA_API to ~/.bashrc, warming models, running docker run with model mounts), which goes beyond passive environment detection and is not described in the short skill description.
Instruction Scope
SKILL.md instructs recreating a full project and includes operational scripts that (if executed) will write to ~/.bashrc, call curl against host.docker.internal, start/stop/launch Docker containers (including docker run that maps host directories and sets --restart), execute model warmups/unloads, and instruct the user to run 'openclaw memory index'. Those are active, persistent system modifications and remote/network operations not declared in the skill metadata and outside a minimal 'checker' scope.
Install Mechanism
This is an instruction-only skill with no install spec and no code files executed by the platform. The static package does not install artifacts itself. Note: the provided shell script, if a user runs it, will pull/run Docker images and may download models, but the skill package does not automatically perform installs.
Credentials
The skill declares no required environment variables, yet the scripts explicitly write OLLAMA_API and OLLAMA_MODEL into ~/.bashrc and source them; they also reference a host models directory (/mnt/e/AI/models/ollama). The skill therefore modifies environment and expects access to filesystem and Docker without declaring that requirement. No secrets are requested, but environment persistence and filesystem mounts are implied.
Persistence & Privilege
Although always:false and agent autonomous invocation is not restricted, the provided scripts persist configuration by appending to ~/.bashrc, creating a manager script (~/claw-manager.sh), and launching Docker containers with --restart unless-stopped — all actions that give lasting system presence and restart behavior. The skill itself does not set these changes automatically, but its instructions will direct a user-supplied script to perform them.
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 tilannlou - 安装完成后,直接呼叫该 Skill 的名称或使用
/tilannlou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
偵測硬體軟體環境
元数据
常见问题
環境偵測 是什么?
环境偵測協助檢查系統與硬體工具、Python套件、Docker及網路狀態,並匯出詳細結果與報告。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 366 次。
如何安装 環境偵測?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tilannlou」即可一键安装,无需额外配置。
環境偵測 是免费的吗?
是的,環境偵測 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
環境偵測 支持哪些平台?
環境偵測 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 環境偵測?
由 tilannlou(@tilannlou)开发并维护,当前版本 v1.0.0。
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