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smart-models智能模型

Agent Skill

smart-models 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

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周安装

583

GitHub Stars

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下载量

4,664
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:smart-models(智能模型)
来源仓库:https://github.com/samstone908/smart-models
安装命令:
openclaw skills install smart-models
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install smart-models

简介

智能多模型路由器根据任务类型自动选择视觉、音频或推理专用模型。

  • 适用于图像生成、视频处理、文本推理等多模态应用场景。
  • 支持跨提供商模型调度,平衡速度与准确性需求。smart-models 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 在 OpenClaw 中按需调用,提升任务执行效率与结果质量。
  • 使用前请检查目标模型是否可用并配置相应 API 凭证。

SKILL.md

name
Smart Router
description
>
author
whatevername2023@proton.me
read_when
metadata
{"clawdbot":{"emoji":"🧭"}}
allowed-tools
Bash(smart-router:*)

Smart Router — Intelligent Model Router

Route tasks to the best model automatically, via any OpenAI-compatible API.

Author: whatevername2023@proton.me

Setup

Models and provider are configured in models.json. Set two environment variables:

  • SMART_ROUTER_BASE_URL — OpenAI-compatible API base URL (e.g. https://api.openai.com/v1)
  • SMART_ROUTER_API_KEY — API key for the provider

Edit models.json to customize categories, models, and defaults for your provider.

@ Alias Shortcuts

Prefix a message with @alias to skip auto-classification and call a specific model directly.

Format: @alias your question or prompt here

Alias Table

AliasModel IDCategory
Vision
@gpt4ochatgpt-4o-latestvision
@qwen-vlqwen3-vl-235b-a22b-instructvision
@qwen-vl-maxqwen-vl-max-2025-08-13vision
@llama-vlllama-3.2-90b-vision-instructvision
@qwen-vl-32bqwen3-vl-32b-instructvision
Image Gen
@imagengoogle/imagen-4-ultraimage_gen
@fluxblack-forest-labs/flux-1.1-pro-ultraimage_gen
@flux-kontextblack-forest-labs/flux-kontext-maximage_gen
@dalledall-e-3image_gen
@flux2flux-2-proimage_gen
Video Gen
@sorasora-2-pro-allvideo_gen
@veoveo3.1-pro-4kvideo_gen
@viduviduq3-provideo_gen
@klingkling-videovideo_gen
@runwayrunwayml-gen4_turbo-10video_gen
Audio
@sunosuno_musicaudio
@ttsgemini-2.5-pro-preview-ttsaudio
@tts-hdtts-1-hdaudio
@kling-audiokling-audioaudio
@vidu-ttsvidu-ttsaudio
Reasoning
@o3o3reasoning
@o3-proo3-proreasoning
@o4-minio4-minireasoning
@deepseekdeepseek-r1reasoning
@gemini-thinkgemini-2.5-pro-thinkingreasoning
@claude-thinkclaude-sonnet-4-5-20250929-thinkingreasoning
Code
@claudeclaude-opus-4-6code
@codexgpt-5.1-codex-maxcode
@claude-sonnetclaude-sonnet-4-6code
@qwen-coderqwen3-coder-480b-a35b-instructcode
@qwen-coder-plusqwen3-coder-pluscode
@gpt4tgpt-4-turbocode
General
@gpt52 / @gpt5gpt-5.2-chat-latestgeneral
@geminigemini-2.5-progeneral
@deepseekv3deepseek-v3.2general
@qwenqwen3-maxgeneral
@claude-chatclaude-opus-4-6general

Aliases are case-insensitive. If no alias matches, attempt fuzzy match on model name/ID. If still no match, prompt the user.

Auto-Classification Rules

When no @alias is specified, classify the task automatically:

CategoryTrigger
visionUser sends image/URL, asks to analyze, describe, OCR, understand image content
image_genRequests to draw, generate image, design poster, create illustration
video_genRequests to generate video, animation, text-to-video, image-to-video
audioRequests for music generation, TTS, sound effects
reasoningComplex math, logic puzzles, proofs, deep analysis, long-chain reasoning
codeCode generation, debugging, refactoring, review (when external model needed)
generalEveryday chat, translation, summarization, writing, Q&A

Usage

1. Read Model Config

cat "$(dirname "$0")/../models.json"

2. Select Model

  • Determine category based on classification rules above
  • Use the first model with "default": true in each category
  • If user specifies a model via @alias, use that model directly
  • For cost-sensitive tasks, pick a smaller model in the same category

3. Call Model

Chat (vision / reasoning / code / general)

scripts/call-model.sh --model "MODEL_ID" --prompt "user request" --type chat

With image (vision):

scripts/call-model.sh --model "MODEL_ID" --prompt "request" --type chat --image "IMAGE_URL"

Image Generation

scripts/call-model.sh --model "MODEL_ID" --prompt "image description" --type image

Async Tasks (video / audio)

scripts/call-model.sh --model "MODEL_ID" --prompt "task description" --type async

TTS

scripts/call-model.sh --model "MODEL_ID" --prompt "text to speak" --type tts --voice alloy

4. Return Results

  • Chat: return the model's text reply directly
  • Image: return the generated image URL in markdown format
  • Video/Audio: return task status and result URL

Model Recommendations

  • Vision: qwen3-vl-235b-a22b-instruct (strongest visual understanding)
  • Image gen: google/imagen-4-ultra (highest quality)
  • Video: sora-2-pro-all (best results)
  • Music: suno_music / TTS: tts-1-hd or gemini-2.5-pro-preview-tts
  • Reasoning: o3 (strongest reasoning)
  • Code: gpt-5.1-codex-max
  • General: claude-opus-4-6

Fallback

If a model call fails, automatically fall back to the next model in the same category.

Customization

Edit models.json to:

  • Add/remove models in any category
  • Change default models
  • Add new categories
  • Update aliases in SKILL.md to match

The scripts/sync-models.sh script lists all available models from your provider to help discover new ones.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.97%
按下载量换算3,403

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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