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fastrouter-setup快速路由器设置

Agent Skill

fastrouter-setup 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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

3,494

周安装

140

GitHub Stars

公开资料未说明

下载量

1,131
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:fastrouter-setup(快速路由器设置)
来源仓库:https://github.com/vamsimnet/fastrouter-setup
安装命令:
openclaw skills install fastrouter-setup
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 fastrouter-setup

简介

将 FastRouter AI 提供的文本与视觉模型动态接入 OpenClaw。

  • 适用于需要实时获取最新模型列表并切换使用的多模态任务。
  • 自动同步可用模型参数与计费策略,支持按实际调用量结算。
  • 需配置有效 API 密钥方可激活全部功能,过期凭证将导致服务中断。
  • 建议定期检查模型更新公告,及时适配新版本接口规范。

SKILL.md

name
fastrouter-setup
description
Add the FastRouter AI provider to OpenClaw with all available text and vision models, fetched live from the FastRouter API. Use when: (1) a user wants to set up FastRouter as a model provider, (2) a user says 'set up fastrouter', 'add fastrouter provider', or 'configure fastrouter' along with an API key, (3) a user wants to refresh/update their FastRouter model list. Triggers on phrases like 'set up fastrouter with API key sk-v1-xxxxx', 'add fastrouter provider', 'configure fastrouter', or 'update fastrouter models'.

FastRouter Setup

Add the FastRouter AI provider to OpenClaw with all available text and vision models using only built-in tools (no script execution required).

Inputs

  • API Key (required): Starts with sk-v1- followed by a hex string. If not provided, ask for it.
  • Base URL (optional): Defaults to https://api.fastrouter.ai

Steps

1. Extract the API key

Parse the API key from the user's message. It starts with sk-v1-.

If no API key is found, ask the user for it. Do NOT proceed without one.

2. Fetch models

Use web_fetch to get the model list:

web_fetch url="https://api.fastrouter.ai/v1/models" extractMode="text"

3. Filter models

From the response JSON, keep only models where:

  • is_active is true
  • architecture.output_modalities includes "text"
  • architecture.input_modalities includes "text" or "image"

For each qualifying model, extract:

  • id — the model identifier
  • context_length — context window size
  • top_provider.max_completion_tokens — max output tokens (if 0 or missing, use min(context_length, 8192))
  • Input types: list of "text" and/or "image" from input_modalities

4. Build provider config

Construct the provider object (do NOT include a "name" key — OpenClaw rejects it):

{
  "baseUrl": "https://api.fastrouter.ai",
  "api": "openai-completions",
  "apiKey": "THE_API_KEY",
  "models": [
    {
      "id": "model/id",
      "name": "Display Name",
      "contextWindow": 128000,
      "maxTokens": 8192,
      "input": ["text", "image"],
      "cost": {"input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0},
      "reasoning": false
    }
  ]
}

5. Update openclaw.json

Use read to load ~/.openclaw/openclaw.json.

Merge the provider into models.providers.fastrouter, preserving all other config.

Also add model references to agents.defaults.models — for each model, add:

"fastrouter/MODEL_ID": {}

Use write to save the updated config.

6. Restart gateway

openclaw gateway restart

This is the only step requiring user approval.

7. Report to user

Tell the user:

  • How many models were added
  • They can switch models with /model fastrouter/MODEL_ID
  • Suggest popular models (claude, gpt, gemini, deepseek variants)

Error Handling

  • API unreachable: Tell the user the FastRouter API may be down, try again later
  • No qualifying models: Warn that no text/image models were found
  • Config file missing: Create the full structure from scratch
  • Invalid API key format: Ask the user to double-check their key

Notes

  • Provider key is fastrouter
  • Existing fastrouter config will be replaced with fresh model list
  • All other providers and settings are preserved
  • Cost is set to zero (FastRouter handles billing separately)
  • Video-only and audio-only models are excluded

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

90.99%
按下载量换算1,029

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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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