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在 OpenClaw 中安装
/install smart-model-switcher-pro
功能描述
智能模型自动切换 Pro V6.0.0(类 Trae 模式)- 多模态感知,自动识别图片/视频/音频/代码/文本任务,切换到最适合的模型。支持图片理解 (qwen3-vl-plus)、视频音频 (qwen3.5-plus)、代码 (glm-5)、Office 文档 (MiniMax-M2.5)、推理等场景。零感知...
安全使用建议
This skill is coherent with its stated purpose (automatic multi-modal model switching), but it implicitly expects the ability to affect 'all sessions' and sub-agents and references a user OpenClaw config/log directory that it did not declare as required. If you consider installing:
- Only run the provided scripts after manually inspecting them. They are plain-text PowerShell scripts that will write logs to $env:USERPROFILE\.openclaw and could be executed as a background monitor if you run them.
- Be cautious about giving this skill or any agent permission to change models for sub-agents or global sessions; ensure you understand and consent to that scope.
- If you need to test, run the scripts in a sandboxed environment or a test account first and back up your OpenClaw config (openclaw.json).
- Ask the author for explicit documentation about what data (config files) the skill reads/writes and for a signed/verified homepage or source.
Given the missing declaration of config access and the broad instruction to change sub-agent models, treat this skill as suspicious until you confirm the exact scope and permissions.
功能分析
Type: OpenClaw Skill
Name: smart-model-switcher-pro
Version: 6.0.0
The skill bundle is a model selection utility designed to help an AI agent automatically switch between different LLMs (e.g., Qwen, GLM, MiniMax) based on the input type (multimodal vs. text) and task category (coding, reasoning, writing). The SKILL.md file provides clear logic for the agent to follow, and the included PowerShell scripts (auto-monitor.txt and runtime-switch.txt) provide a framework for logging and keyword-based task classification. The scripts do not perform any unauthorized network calls, data exfiltration, or persistence mechanisms; they primarily interact with a local log file in the user's profile. The garbled text in the scripts is simply UTF-8 encoded Chinese characters (e.g., '代码' for code, '编程' for programming) and does not represent obfuscation.
能力评估
Purpose & Capability
The name/description (automatic multi-modal model switching) align with the SKILL.md and the included runtime scripts, which implement task detection and model mapping. However, the scripts reference a user config path ($env:USERPROFILE\.openclaw\openclaw.json) and operate on 'all sessions (main window + sub-agents)', which is broader than the declared registry metadata (which lists no required config paths or special permissions). The implicit expectation that the skill can inspect/affect global agent settings is not declared.
Instruction Scope
SKILL.md instructs the agent to perform automatic switching for main window and sub-agents and includes code-like logic for 'all sessions'. The included scripts (PowerShell-formatted .txt files) perform monitoring, write logs to the user's .openclaw directory, and provide a runtime-switch utility that reads a ConfigPath defaulting to the user's OpenClaw config. The skill does not explicitly declare reading/writing those paths or limits on changing other agents' models. That scope (affecting sub-agents and system-wide switching) is broad and not transparently authorized.
Install Mechanism
There is no install spec and no code files to be compiled or remote archives to download; the skill is instruction-only. This reduces supply-chain risk. Note: the package includes plaintext script files that, if executed by the user/agent, would create/append logs and could be run as a background monitor — but nothing is auto-installed by the registry metadata.
Credentials
The skill declares no required environment variables or credentials (good). Still, the scripts reference the user's HOME-like environment ($env:USERPROFILE) and an OpenClaw config path. Those accesses are plausible for a model-switcher but were not declared as required config paths in the metadata. There are no requests for API keys or secrets — which is appropriate — but the implicit file access should be disclosed.
Persistence & Privilege
The skill is not marked always:true and does not request autonomous installation. The SKILL.md describes running an 'auto monitor' background service and provides scripts to start/stop/status that would persist logs under the user's .openclaw directory if executed. Because there's no install spec, persistence only occurs if the agent/user runs those scripts; nevertheless, the skill's instructions encourage running a background monitor that affects model selection across sessions.
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 smart-model-switcher-pro - 安装完成后,直接呼叫该 Skill 的名称或使用
/smart-model-switcher-pro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
v6.0.0
V6.0.0 类 Trae 模式
v5.1.0
smart-model-switcher-pro 5.1.0
- 新增主窗口检测:仅主窗口执行智能模型自动切换,子代理/子会话始终采用各自预设模型,互不干扰
- 多模态感知升级:支持图片、视频(.mp4/.avi/.mkv 等)、音频(.mp3/.wav/.m4a 等)自动检测与优选模型(qwen3.5-plus 等),图片可专用 qwen3-vl-plus
- 新增 Office 模式:识别 Office 相关关键词时,自动切换 MiniMax-M2.5
- 决策树和规则全面升级,切换优先级更明确(主窗口检测 > 多模态 > 代码 > 推理 > Office > 文本)
- 核心原则调整:GLM-5 仅用于代码任务,多模态任务不走 GLM-5
- 支持更灵活的场景关键词覆盖与文件检测,用户可零感
元数据
常见问题
Smart Model Switcher Pro 是什么?
智能模型自动切换 Pro V6.0.0(类 Trae 模式)- 多模态感知,自动识别图片/视频/音频/代码/文本任务,切换到最适合的模型。支持图片理解 (qwen3-vl-plus)、视频音频 (qwen3.5-plus)、代码 (glm-5)、Office 文档 (MiniMax-M2.5)、推理等场景。零感知... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 110 次。
如何安装 Smart Model Switcher Pro?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install smart-model-switcher-pro」即可一键安装,无需额外配置。
Smart Model Switcher Pro 是免费的吗?
是的,Smart Model Switcher Pro 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Smart Model Switcher Pro 支持哪些平台?
Smart Model Switcher Pro 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 Smart Model Switcher Pro?
由 davidme6(@davidme6)开发并维护,当前版本 v6.0.0。
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