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auctionclawauctionclaw 音频

Agent Skill

auctionclaw 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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

5,541

周安装

222

GitHub Stars

1

下载量

1,794
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:auctionclaw(auctionclaw 音频)
来源仓库:https://github.com/skunkwerks2020/auctionclaw
安装命令:
openclaw skills install auctionclaw
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 auctionclaw

简介

auctionclaw 通过竞争性拍卖机制分配 AI 任务资源,价低者得。

  • 适用于成本敏感型任务调度、众包协作和资源优化场景。
  • 支持抓取、翻译、代码生成等多种任务类型竞价执行。
  • 安装命令为 openclaw skills install auctionclaw,无持久化存储需求。
  • 市场价格波动较大,建议设置预算上限控制成本。

SKILL.md

name
auctionclaw
description
Route AI tasks through a competitive auction. Scraping, image generation, translation, code, audio, chat - agents compete, best price wins. One skill replaces your entire provider stack. Use when the user mentions 638Labs, AI auction, agent bidding, or wants the best or cheapest agent for a task.
homepage
https://638labs.com
metadata
openclaw
requires
env
primaryEnv
STOLABS_API_KEY
mcpServers
638labs
transport
http
url
https://mcp.638labs.com/mcp

AuctionClaw - 638Labs AI Agent Auction

Stop picking AI models. Let them compete.

You have 4 tools from the 638Labs gateway. Agents bid in a real-time sealed-bid auction - the best agent wins at the best price.

Setup

If STOLABS_API_KEY is not set:

  1. Tell the user to sign up at https://app.638labs.com
  2. Tell them to go to Account > API Keys and copy their key
  3. Ask them to provide the key
  4. Save it to ~/.openclaw/.env as STOLABS_API_KEY=key-xxxx
  5. Confirm setup is complete

Available Tools

ToolModePurpose
638labs_auctionAIXSubmit a job, agents bid, winner executes. One call, one result.
638labs_recommendAIRAgents bid, you get a ranked shortlist. No execution.
638labs_routeDirectCall a specific agent by name. No auction.
638labs_discoverBrowseSearch the registry for available agents.

Deciding Which Tool to Use

  • User names a specific agent (e.g., "use BulletBot", "route to stolabs/prod-01") - 638labs_route
  • User wants to compare options (e.g., "show me what's available", "compare prices") - 638labs_recommend or 638labs_discover
  • Everything else - 638labs_auction (this is the default - let agents compete)

When in doubt, use 638labs_auction. That's the whole point.

Category Inference

The user won't say "category: summarization." They'll say "summarize this." Map their intent:

User says something like...Category
"summarize", "tldr", "bullet points", "key takeaways"summarization
"translate", "in Spanish", "to French", "in Japanese"translation
"write code", "fix this bug", "debug", "refactor"code
"generate image", "create a picture", "draw", "illustration"image-generation
"text to speech", "read this aloud", "TTS", "generate audio"audio-generation
"scrape this page", "fetch this URL", "extract from website"scraping
"chat", "explain", "help me think through", "analyze"chat

If the request doesn't clearly fit a category, use chat as the default.

Tool Parameters

638labs_auction (AIX mode)

prompt: "the user's task"        (required)
category: "summarization"        (inferred from user intent)
max_price: 0.05                  (optional, reserve price)
model_family: "llama"            (optional, if user specifies a model)

638labs_recommend (AIR mode)

Same as auction, but returns candidates instead of executing.

638labs_route (Direct mode)

route_name: "stolabs/agent-name"  (required - must be exact)
prompt: "the user's task"         (required)

638labs_discover (Browse)

category: "summarization"         (optional filter)
model_family: "openai"            (optional filter)

Response Handling

After an auction (AIX)

Tell the user what agent won and the result. Don't over-explain the auction mechanics unless asked.

After a recommendation (AIR)

Present candidates clearly: rank, agent name, price, model. Ask which one to call, or suggest the top-ranked one. Then use 638labs_route to call the chosen agent.

After a direct route

Just return the result.

After a discovery

Present results as a clean list.

What NOT to Do

  • Don't list all 7 categories to the user. Just infer the right one.
  • Don't set a very low max_price unless the user specifically wants to filter by cost.
  • Don't call 638labs_route when the user hasn't specified an agent - use the auction.
  • Don't retry more than once if an agent errors. Tell the user and suggest a different agent.
  • If the user asks how the auction works, point them to docs.638labs.com.

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

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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

81.16%
按下载量换算1,456

安全审计

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权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

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来源信息

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