📦 Multi-Model Router — 智能模型路由
v1.0.0根据隐私、上下文长度、成本与性能需求，自动把任务分发给最合适的本地或云端 AI 模型，实现高效、经济、安全的模型调用。
0· 222·1 当前·1 累计
by @keven0706下载技能包
最后更新
2026/4/22
安全扫描
OpenClaw
可疑
medium confidenceNULL
评估建议
This package mostly does what it says (analyze prompts and pick a model), but there are practical issues to resolve before installing: 1) The code depends on an external tokenizer ('gpt-tokenizer') yet no package.json or install instructions are provided — confirm and install required Node dependencies or request the package.json from the author. 2) The privacy guarantee in SKILL.md is a policy claim the router alone cannot enforce — verify your OpenClaw deployment maps the listed local alias (e...详细分析 ▾
ℹ 用途与能力
Name/description align with code: the skill analyzes prompts and returns a chosen model alias and migrated context. However the SKILL.md claims guarantees like "sensitive data absolutely never sent to cloud" and "100% local processing for sensitive content" — the code only selects a model alias (e.g., a local model alias) and does not itself perform model invocation or enforce transport controls. That privacy claim therefore depends on the hosting platform mapping aliases to truly-local runtime and preventing downstream cloud calls, which the skill cannot enforce.
ℹ 指令范围
Runtime instructions and code operate within the skill folder: they read config/default.json and config/user-preferences.json, write user preferences and append audit logs (logs/routing-audit.log), and provide health/logging methods. They do not read other system config, environment secrets, or make outbound network calls. The audit logs record decision metadata (model, reason, privacyLevel) but not prompt text — still, metadata could be sensitive.
⚠ 安装机制
No install specification or package manifest is declared, yet the code requires an external module ('gpt-tokenizer') and is a non-trivial Node.js package with tests. There is no package.json, no declared npm deps, and no instructions to install dependencies. That makes the package incoherent (it will likely fail at runtime unless the environment already has the dependency). Lack of an install step also prevents verification of provenance and reproducible dependency resolution.
ℹ 凭证需求
The skill requests no environment credentials (good), but it writes config and audit logs to disk under the skill directory. It also includes model aliases for cloud providers (xinliu/*) and local runtime (ollama/*). Because environment/config mapping of those aliases to real model endpoints is handled by the platform, the skill's privacy and cost claims depend on external configuration. The absence of any declared requirement for local model endpoints or runtime assurances is a proportionality gap.
✓ 持久化与权限
always:false and no special OS restrictions. The skill persists user preferences and audit logs in its own config/logs directories — this is normal for a router. It does not modify other skills' configs or system-wide settings.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv1.0.02026/3/17
NULL
● 无害
安装命令
点击复制官方npx clawhub@latest install multi-model-router
镜像加速npx clawhub@latest install multi-model-router --registry https://cn.longxiaskill.com