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Model Switcher
作者
PUASERVICE
· GitHub ↗
· v1.0.2
1059
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0
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当前安装
4
版本数
在 OpenClaw 中安装
/install model-switcher
功能描述
Automatically switch between different AI models based on task complexity. Supports all available models in your OpenClaw setup. Triggers when detecting comp...
安全使用建议
This skill appears to do what it says: detect complexity and call session_status to switch models. Before installing, confirm that your agent platform provides a session_status tool and determine the exact model identifiers it expects (the SKILL.md shows both full model names and shorter tokens — update them to match your environment). Consider adding trigger keywords in other languages if you need that coverage, and set sensible rate-limiting or batching to avoid frequent unnecessary switches. Also verify you trust the custom model endpoints listed (they appear to be custom-hosted model names) since switching will route requests to those models managed by whoever controls them.
功能分析
Type: OpenClaw Skill
Name: model-switcher
Version: 1.0.2
The OpenClaw AgentSkills bundle 'model-switcher' is designed to automatically switch between different AI models (haiku/sonnet) based on task complexity detected in user messages. All instructions in SKILL.md, including model configuration and workflow, are consistent with this stated purpose. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent for harmful activities. The custom model identifiers like `custom-kiro-cli-vipdump-eu-org/claude-haiku-4-5` are used for model selection, not for external communication or exfiltration.
能力评估
Purpose & Capability
Name/description (auto-switching between fast vs powerful models) match the SKILL.md's detection rules and explicit session_status calls to change models. There are no unrelated environment variables, binaries, or installs requested.
Instruction Scope
Instructions are narrowly scoped to detecting keywords and calling the session_status tool to change models. Minor issues: trigger keywords are only provided in Chinese (may miss other languages), and the implementation examples use short model identifiers ("kiro-cli", "haiku", "default") that do not exactly match the full model strings listed earlier (e.g., "custom-kiro-cli-vipdump-eu-org/claude-haiku-4-5"), which is an operational inconsistency but not a security problem. The doc also leaves behavioral choices (how often to switch, batching) to agent discretion; this is functional scope rather than a covert action.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk or downloaded by an installer, which minimizes install-time risk.
Credentials
No environment variables, credentials, or config paths are requested. The skill does reference custom model names (hosted models) — users should be aware that switching uses whatever models are available in their environment, but the skill itself doesn't request secrets or unrelated credentials.
Persistence & Privilege
always is false and autonomous invocation is allowed (the platform default). The skill does not request persistent system presence or access to other skills' configs. Autonomous invocation combined with no credential access is low risk.
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 model-switcher - 安装完成后,直接呼叫该 Skill 的名称或使用
/model-switcher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
v1.0.3
Initial release: Auto-switch between haiku and sonnet based on task complexity
v1.0.2
Update summary to remove specific model references
v1.0.1
Remove specific API endpoints, support all models universally
v1.0.0
- Initial release of model-switcher skill.
- Automatically switches between fast (haiku) and powerful (sonnet) models based on detected task complexity.
- Detects complex tasks using Chinese keywords related to analysis, design, optimization, and more.
- Checks current model with session_status before switching.
- Briefly notifies the user when a model switch occurs.
- Intelligent handling to avoid unnecessary switches and maintain context during ongoing complex conversations.
元数据
常见问题
Model Switcher 是什么?
Automatically switch between different AI models based on task complexity. Supports all available models in your OpenClaw setup. Triggers when detecting comp... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1059 次。
如何安装 Model Switcher?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install model-switcher」即可一键安装,无需额外配置。
Model Switcher 是免费的吗?
是的,Model Switcher 完全免费(开源免费),可自由下载、安装和使用。
Model Switcher 支持哪些平台?
Model Switcher 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 Model Switcher?
由 PUASERVICE(@puaservice)开发并维护,当前版本 v1.0.2。
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