Token导航 LogoToken导航TokenDH.com
开发敏感数据clawhub未标认证来源可访问clear审计提醒

clawd-throttle爪式油门

Agent Skill

clawd-throttle 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

38,272

周安装

1,644

GitHub Stars

公开资料未说明

下载量

13,415
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:clawd-throttle(爪式油门)
来源仓库:https://github.com/liekzejaws/clawd-throttle
安装命令:
openclaw skills install clawd-throttle
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 clawd-throttle

简介

将 LLM 请求路由到 8 个提供商(Anthropic、Google、OpenAI、DeepSeek、xAI、Moonshot、Mistral、Ollama)和 25 个以上模型中最便宜的模型。在 1 毫秒内对 8 个维度进行评分提示,支持三种路由模式(eco、标准、gigachad),并记录所有决策以进行成本跟踪。

SKILL.md

name
clawd-throttle
description
Routes LLM requests to the cheapest capable model across 8 providers (Anthropic, Google, OpenAI, DeepSeek, xAI, Moonshot, Mistral, Ollama) and 25+ models. Scores prompts on 8 dimensions in under 1ms, supports three routing modes (eco, standard, gigachad), and logs all decisions for cost tracking.
homepage
https://github.com/liekzejaws/clawd-throttle
metadata
{"clawdbot":{"emoji":"\�\�\️","requires":{"bins":["node"],"env":["ANTHROPIC_API_KEY","GOOGLE_AI_API_KEY"],"optionalEnv":["XAI_API_KEY","OPENAI_API_KEY","DEEPSEEK_API_KEY","MOONSHOT_API_KEY","MISTRAL_API_KEY"]},"install":[{"id":"clawd-throttle","kind":"node","script":"scripts/setup.ps1","label":"Setup Clawd Throttle (API keys + routing mode)"}]}}

Clawd Throttle

Route every LLM request to the cheapest model that can handle it. Stop paying Opus prices for "hello" and "summarize this."

Supports 8 providers and 25+ models: Anthropic (Claude), Google (Gemini), OpenAI (GPT / o-series), xAI (Grok), DeepSeek, Moonshot (Kimi), Mistral, and Ollama (local).

How It Works

  1. Your prompt arrives
  2. The classifier scores it on 8 dimensions (token count, code presence,

reasoning markers, simplicity indicators, multi-step patterns, question count, system prompt complexity, conversation depth) in under 1 millisecond

  1. The router maps the resulting tier (simple / standard / complex) to a

model based on your active mode and configured providers

  1. The request is proxied to the correct API
  2. The routing decision and cost are logged to a local JSONL file

Routing Modes

ModeSimpleStandardComplex
ecoGrok 4.1 FastGemini FlashHaiku
standardGrok 4.1 FastHaikuSonnet
gigachadHaikuSonnetOpus 4.6

Each cell shows the first-choice model. The router tries a preference list and falls through to the next available provider if the first is not configured.

Available Commands

CommandWhat It Does
route_requestSend a prompt and get a response from the cheapest capable model
classify_promptAnalyze prompt complexity without making an LLM call
get_routing_statsView cost savings and model distribution stats
get_configView current configuration (keys redacted)
set_modeChange routing mode at runtime
get_recent_routing_logInspect recent routing decisions

Overrides

  • Heartbeats and summaries always route to the cheapest model
  • Type /opus, /sonnet, /haiku, /flash, or /grok-fast to force a specific model
  • Sub-agent calls automatically step down one tier from their parent

Setup

  1. Get at least one API key (Anthropic or Google required; others optional):

- Anthropic: https://console.anthropic.com/settings/keys - Google AI: https://aistudio.google.com/app/apikey - xAI: https://console.x.ai - OpenAI: https://platform.openai.com/api-keys - DeepSeek: https://platform.deepseek.com - Moonshot: https://platform.moonshot.cn - Mistral: https://console.mistral.ai

  1. Run the setup script:
   npm run setup
  1. Choose your routing mode (eco / standard / gigachad)

Privacy

  • Prompt content is never stored. Only a SHA-256 hash is logged.
  • All data stays local in ~/.config/clawd-throttle/
  • API keys stored in your local config file

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

87.21%
按下载量换算11,699

安全审计

VirusTotal

可疑

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

继续浏览同类 Skills