3d-pet-checkout-test

3d-pet-checkout-test is a skill for Claude Code, Codex from Lord1Egypt/awesome-skill-forge. It costs 54 tokens per session (1,201 once invoked), scanned C, original, MIT.

An automated end-to-end test for Joyarti’s 3D pet product checkout. It logs in, chooses a pet figure style, uploads an image, waits for generation, and verifies the checkout path.

In plain words
What is it for?
Use it for manual, scheduled, or triggered tests of the 3D pet ordering flow, with configured account credentials, an optional image URL, and a Feishu notification target.
Why use it?
It checks whether the complete purchase journey works across login, product selection, image upload, generation, and checkout.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it for manual, scheduled, or triggered tests of the 3D pet ordering flow, with configured account credentials, an optional image URL, and a Feishu notification target.

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Install with agentmods
npx agentmods add skills/lord1egypt/awesome-skill-forge/3d-pet-checkout-test
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Lord1Egypt/awesome-skill-forge --skill 3d-pet-checkout-test
Clone the repo
git clone --depth 1 https://github.com/Lord1Egypt/awesome-skill-forge

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for 3d-pet-checkout-test

README.md
[![agentmods](https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/3d-pet-checkout-test/github.svg)](https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/3d-pet-checkout-test)
Your own site
<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/3d-pet-checkout-test"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/3d-pet-checkout-test/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for 3d-pet-checkout-test

Your own site · 80×15
<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/3d-pet-checkout-test"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/3d-pet-checkout-test.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,201 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01201
Opus 5 $0.00027 $0.00600
Sonnet 5 $0.00011 $0.00240
Haiku 4.5 $0.00005 $0.00120

Measured 11d ago against content hash ebb7fc419a71, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade C, and why

3d-pet-checkout-test scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

sleep 30 && curl -s http://127.0.0.1:18800/json/list | python3 -c "

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

2. 用 exec + curl 轮询,每次 sleep 30s:
community/clawhub/3/3d-pet-checkout-test/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

3D Pet 下单测试

执行 3D 宠物产品下单完整流程,验证购买路径是否正常。

触发条件

  • 用户说"测试3D宠物"、"测试下单"、"3D Pet test"、"运行工作流"
  • cron 定时任务触发
  • 手动执行测试

关键配置

配置 环境变量 默认值
网站 - https://joyarti.com
账号邮箱 JOYARTI_EMAIL (无默认值,请设置)
账号密码 JOYARTI_PASSWORD (无默认值,请设置)
测试图片 JOYARTI_IMAGE_URL (可选)
推送目标 FEISHU_TARGET (无默认值,需配置)

环境变量设置

在运行前设置环境变量(可选,如不设置则使用默认值):

export JOYARTI_EMAIL="[email protected]"
export JOYARTI_PASSWORD="your-password"
export JOYARTI_IMAGE_URL="https://example.com/image.jpg"
export FEISHU_TARGET="chat:oc_xxxxxxxxxxxxxxxxxx"

执行步骤

Step A: 登录

  1. navigate 到 https://joyarti.com/account/login
  2. wait 2000ms
  3. evaluate 填写邮箱密码并点击 Login
  4. wait 4000ms 等待跳转
  5. evaluate 验证登录成功(URL 含 /account)

Step B: 选择产品

  1. evaluate 点击导航 '3D Figure'
  2. wait 3000ms,验证 URL 含 figmaker
  3. evaluate 点击 'For Pets' (必须用 BUTTON 元素)
  4. wait 3000ms
  5. evaluate 点击 'Minimal Style' 的 Create 按钮 (必须用 BUTTON 元素)
  6. wait 3000ms,验证 URL 含 style2 且有文件上传框

Step C: 上传图片

  1. exec 下载图片到 /tmp/openclaw/uploads/pet_image.jpg
  2. exec 运行 CDP 上传脚本:
    CDP_SCRIPT="${WORKSPACE}/cdp_upload.py"  # 或从 skill 目录读取
    python3 "$CDP_SCRIPT" /tmp/openclaw/uploads/pet_image.jpg joyarti
    
    • 成功输出:OK: files=1
    • 失败输出:ERR: ...
  3. wait 3000ms
  4. evaluate 点击 Create Preview 按钮

Step D: 等待生成

  1. 禁止用 browser wait 超过 20s
  2. 用 exec + curl 轮询,每次 sleep 30s:
    sleep 30 && curl -s http://127.0.0.1:18800/json/list | python3 -c "
    import json,sys
    tabs=json.load(sys.stdin)
    for t in tabs:
        if 'joyarti' in t.get('url','') and 'projectId' in t.get('url',''):
            print('DONE:', t['url'])
    "
    
  3. 检测输出含 DONE: 即生成完成,提取 projectId

Step E: 验证结账

  1. evaluate 点击 Buy Now
  2. wait 4000ms
  3. evaluate 验证跳转到 Shopify(URL 含 myshopify.com 或 checkout)
  4. evaluate 读取结账关键字段(产品、价格)
  5. 验证:产品含 'Pet'/'Figure',价格含 '$89.99'
  6. 必须登出并关闭浏览器

消息规则

每个 Step 开始和完成必须发消息到飞书群:

message(action=send, channel=feishu, target=FEISHU_TARGET, message="...")

Read the full file on GitHub · 126 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 126 lines · 54 tokens per session scan C ebb7fc419a71

Subscribe to this mod's changes

3d-pet-checkout-test is a skill published in the GitHub repository Lord1Egypt/awesome-skill-forge (2 stars, last pushed 3mo ago), licensed MIT. It adds 54 tokens to every session and 1,201 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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