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ai-cheese艾奶酪

Agent Skill

ai-cheese 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

13,126

周安装

531

GitHub Stars

公开资料未说明

下载量

4,121
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:ai-cheese(艾奶酪)
来源仓库:https://github.com/locjonz/ai-cheese
安装命令:
openclaw skills install ai-cheese
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 ai-cheese

简介

通过AI向真人发送付费消息,支持调查、反馈和本地知识整理。

  • 适用于需要人工介入的任务场景,如实地调研或用户验证。
  • 基于aicheese.app平台运行,按任务类型匹配相应服务人员。
  • 安装命令:openclaw skills install ai-cheese。
  • 涉及地理位置或敏感信息时需注意隐私保护政策。

SKILL.md

name
ai-cheese
description
Send paid messages to real humans via the A.I. Cheese platform (aicheese.app). Use when an agent needs human input — surveys, feedback, photo tasks, local knowledge, verification. Pays USDC on Base via x402 protocol. Supports directory search (location, skills, price), sending paid messages, polling for replies, and webhook registration.
metadata
{"clawdbot":{"emoji":"🧀","requires":{"bins":["npx"]}}}

A.I. Cheese — Paid Human Messaging

Send paid messages to real humans. They get USDC, you get answers.

API Base: https://aicheese.app

Quick Start

# Search for humans in London who speak Spanish, max $0.50/msg
npx tsx scripts/ai-cheese.ts search --location london --skills spanish --max-price 0.50

# Send a paid message
npx tsx scripts/ai-cheese.ts send --to <userId> --message "What's the best cafe near you?"

# Check for replies
npx tsx scripts/ai-cheese.ts replies

Setup

Set environment variable with a funded wallet (needs USDC on Base):

export AGENT_PRIVATE_KEY="0x..."

API Reference

Conversations (Threading)

Messages support multi-turn conversations. The first message creates a thread. Follow-ups use the threadId from the response.

Pricing:

  • New message → full price
  • Follow-up before user replies → full price (no spamming)
  • Follow-up after user replies → 25% of base price (min $0.01)
  • User replies → free

Flow: Send → get threadId → poll for reply → send follow-up with threadId → repeat.

1. Search Directory

Find humans by location, skills, or price.

GET /api/v1/directory
  ?location=miami
  ?lat=25.76&lng=-80.19&radius=50
  ?skills=photographer,foodie
  ?maxPrice=1.00
  ?limit=20&offset=0

Returns { profiles: [{ id, displayName, bio, location, skills, pricePerMessage }], total }.

2. Send Paid Message (x402 Flow)

POST /api/v1/message
Body: { toUserId, fromAgentId, fromLabel, content }

Flow:

  1. First request returns 402 with payment requirements
  2. Pay USDC to the user's wallet address (amount in response)
  3. Retry with X-Payment: <txHash> header
  4. Message delivered, returns { ok: true, messageId, threadId }

For follow-ups, include threadId in the body. Price is reduced to 25% if the user has replied.

3. Poll for Replies

GET /api/v1/agent/replies?agentId=<your-agent-id>&since=<timestamp>

Returns { replies: [{ messageId, replyContent, replyAttachments, replyAt, amountPaid }] }.

Attachments are URLs to uploaded photos (e.g. /api/v1/files/abc.jpg).

4. Register Webhook

Get notified instantly when a user replies:

POST /api/v1/agent/webhook
Body: { agentId, url, secret }

Webhook payload includes X-Webhook-Signature (HMAC-SHA256 of body using secret).

CLI Script

The bundled scripts/ai-cheese.ts handles the full x402 payment flow automatically.

Commands:

  • search — Search directory with filters
  • send --to <id> --message "..." — Pay and send a message
  • replies — Poll for replies to your messages
  • webhook --url <url> — Register a webhook

Run with: npx tsx <skill-path>/scripts/ai-cheese.ts <command> [options]

Use Cases

  • Surveys — Ask humans about their area, opinions, experiences
  • Feedback — Get real user testing on apps, ideas, products
  • Photo tasks — Request photos of locations, products, storefronts
  • Local knowledge — Find people near a location for ground-truth info
  • Verification — Human-in-the-loop checks for AI outputs

Tips

  • Start with $0.10-0.25/msg for surveys, $0.50-5.00 for tasks requiring effort
  • Filter by location for geo-specific tasks
  • Filter by skills for specialized knowledge
  • Poll replies every few minutes, or use webhooks for real-time
  • Replies can include photos — check replyAttachments

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

92.77%
按下载量换算3,823

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

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