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Install in OpenClaw
/install pdd-shopping
Description
Turn 拼多多 low-price browsing into action-ready buying advice. Use when the user wants to 查低价、百亿补贴、拼团、优惠券、补贴门槛、店铺风险、退款值不值, and needs a direct recommendation su...
Usage Guidance
This skill appears to do what it says: help decide whether to buy on 拼多多 and optionally automate browser steps up to (but not including) payment. Before installing or using it, verify you trust the skill source (homepage/repo), and be cautious when the agent asks to log into your account—only proceed after explicit confirmation. Do not hand over passwords to third-party services; prefer using the browser's normal login prompts. Because the skill can perform logged-in add-to-cart and join-group actions, watch for unexpected actions during a session and stop the agent if it attempts payment or other irreversible steps. Overall risk is low given no secret/env requests and clear safety rules, but only install if you trust the publisher and understand that browser automation will operate on pages you authorize.
Capability Analysis
Type: OpenClaw Skill
Name: pdd-shopping
Version: 2.1.0
The PDD Shopping skill is a well-structured assistant designed to help users navigate Pinduoduo deals, group buys, and subsidies. It contains clear safety boundaries, explicitly instructing the agent to stop before any payment or irreversible order submission and to request user consent before performing actions that require authentication. The browser automation logic in SKILL.md and references/browser-workflow.md is strictly aligned with the stated purpose of product discovery and cart management, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The name/description (PDD Shopping) match the runtime instructions and browser workflow: searching listings, checking coupons/subsidies, vetting sellers, and optionally performing add-to-cart / join-group actions. All declared capabilities are consistent with the skill's goal; there are no unrelated required binaries, env vars, or hidden capabilities.
Instruction Scope
SKILL.md and browser-workflow explicitly limit actions to browsing, evidence snapshots, add-to-cart, group operations, and order preview, and include safety rules (ask before login, stop before payment). The instructions do not request reading unrelated system files or environment variables. They do require user consent for logged-in operations, which is appropriate for the stated features.
Install Mechanism
This is an instruction-only skill with no install spec and no code files executed at install time. That minimizes install-time risk; manifest files (README, package.json) are informational only.
Credentials
The skill declares no required environment variables, credentials, or config paths. The only sensitive action is performing login-required browser flows (add-to-cart, coupon checks) which the instructions correctly gate behind explicit user consent—this is proportionate to the capability.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or modifications to other skills. Autonomous invocation (model invocation enabled) is platform-default; the skill's scope and lack of requested credentials keep the privilege reasonable.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pdd-shopping - After installation, invoke the skill by name or use
/pdd-shopping - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.1.0
Turned PDD Shopping into an action-first buying decision skill for coupons, group buys, subsidy checks, seller risk, and refund judgment.
v1.0.3
Add matrix cross-sell guidance to route PDD users toward the right shopping skill.
v1.0.2
Sharpen PDD positioning around low-price decision-making, subsidy checks, and seller-risk tradeoffs.
v1.0.1
Rename slug to pdd-shopping and publish English-primary documentation.
v2.0.0
pdd-shopping v2.0.0 introduces full browser automation for shopping workflows on Pinduoduo, with user safety via manual payment control.
- Adds browser automation support for search, group buying, seller vetting, cart ops, coupon checks, and order preview.
- Supports logged-in sessions for cart and group buy operations; agent stops before payment for user safety.
- Keeps and documents all previous shopping strategies, seller assessment, and category guides.
- Adds structured workflow descriptions and separates guidance-only mode from automation features.
- Includes detailed references and configuration files for enhanced browser workflow management.
v1.1.1
Retry publish 1.1.1: align version metadata and package only SKILL.md (exclude runtime data / VCS files).
v1.1.0
- Expanded documentation with detailed group buying strategies, seller vetting, and category-specific tips for Pinduoduo (拼多多).
- Added quick reference table linking to guides on group buying, seller vetting, and quality assessment.
- Clarified platform positioning, store types, and core PDD-specific features for safer shopping.
- Included comprehensive comparison with other Chinese e-commerce platforms.
- Listed common buyer traps, protection measures, and payment methods.
- Provided related skill recommendations for wider e-commerce guidance.
Metadata
Frequently Asked Questions
What is PDD Shopping?
Turn 拼多多 low-price browsing into action-ready buying advice. Use when the user wants to 查低价、百亿补贴、拼团、优惠券、补贴门槛、店铺风险、退款值不值, and needs a direct recommendation su... It is an AI Agent Skill for Claude Code / OpenClaw, with 649 downloads so far.
How do I install PDD Shopping?
Run "/install pdd-shopping" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is PDD Shopping free?
Yes, PDD Shopping is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does PDD Shopping support?
PDD Shopping is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).
Who created PDD Shopping?
It is built and maintained by haidong (@harrylabsj); the current version is v2.1.0.
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