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Install in OpenClaw
/install tilannlou
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tilannlou - After installation, invoke the skill by name or use
/tilannlou - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
偵測硬體軟體環境
Metadata
Frequently Asked Questions
What is 環境偵測?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 366 downloads so far.
How do I install 環境偵測?
Run "/install tilannlou" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 環境偵測 free?
Yes, 環境偵測 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 環境偵測 support?
環境偵測 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 環境偵測?
It is built and maintained by tilannlou (@tilannlou); the current version is v1.0.0.
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