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harrylabsj

Cheap

by haidong · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install cheap
Description
Find the cheapest meaningful visible price for a user-provided product name across major Chinese shopping platforms such as Taobao, Tmall, JD.com, Pinduoduo,...
README (SKILL.md)

Cheap

Find the cheapest meaningful visible price for a product across Chinese e-commerce platforms.

Use this skill when the user provides a product name and wants the lowest current visible price, the cheapest platform, or a quick cross-platform price comparison.

This skill operates in two modes:

  • Mode 1: Price-accessible mode — enough platform price evidence is accessible to support a meaningful comparison.
  • Mode 2: Price-limited mode — platform access, product matching, or price visibility is too weak for a strong cheapest-price claim.

Read these references as needed:

  • references/product-matching.md when deciding whether two listings are likely the same product
  • references/platform-playbook.md when searching different Chinese shopping platforms
  • references/price-judgment.md when deciding which price counts as the meaningful cheapest price
  • references/output-patterns.md when preparing the final answer
  • references/failure-modes.md when product matching, pricing, or platform access is weak
  • references/examples.md when examples help calibrate the result format

Workflow

  1. Identify the product.

    • Accept a product name.
    • If the product is too broad or ambiguous, ask one short clarifying question for the most decision-relevant detail, such as brand, model, size, or key variant.
  2. Check price accessibility.

    • Search across relevant Chinese platforms.
    • Decide which mode applies:
      • Mode 1 if enough visible price evidence is accessible and comparable.
      • Mode 2 if platform access, listing clarity, or price conditions are too weak for a strong cheapest-price claim.
  3. If Mode 1, compare meaningful prices.

    • Prefer Taobao, Tmall, JD.com, Pinduoduo, and other clearly relevant platforms.
    • Use only currently visible price evidence.
    • Match comparable listings by brand, model, specs, quantity, version, and bundle contents.
    • Distinguish straightforward visible price from coupon-only, member-only, deposit/pre-sale, bundle-distorted, or variant-mismatched prices.
  4. If Mode 2, do not fake precision.

    • State that the currently accessible evidence is too weak for a strong cheapest-price claim.
    • Explain whether the issue is platform access, weak product matching, or distorted price conditions.
    • Give only a limited conclusion when still useful.
  5. Give the result. Cover:

    • cheapest platform or listing found when supportable
    • visible price evidence actually available
    • comparable alternatives when supportable
    • matching confidence
    • any caveats about variants, bundles, coupons, seller trust, or access limits

Output

Use this structure unless the user asks for something else.

Mode 1 output

Use when enough price evidence is accessible.

Cheapest Found

State the lowest meaningful visible price found and on which platform.

Comparable Options

List the main comparable prices found on other platforms.

Match Confidence

State whether the compared listings look like the same product:

  • High
  • Medium
  • Low

Caveats

State any important risks, such as:

  • unclear variant match
  • bundle differences
  • coupon or membership pricing
  • deposit or pre-sale pricing
  • seller quality concerns
  • incomplete platform access

Final Advice

Give a direct buying suggestion in plain language.

Mode 2 output

Use when accessible evidence is too weak for a strong lowest-price claim.

Current Best Signal

State the weakest still-usable price clue, if any.

Why No Strong Cheapest Claim

Explain whether the issue is:

  • platform access limits
  • weak listing comparability
  • unclear price conditions
  • incomplete platform coverage

What Remains Unverified

State what cannot yet be confirmed.

Final Advice

Give a cautious conclusion without pretending a definitive lowest price was found.

Quality bar

Do:

  • compare like-for-like listings
  • say when the cheapest visible option may not be the best option
  • distinguish real low price from misleading low price
  • be explicit when matching confidence is weak

Do not:

  • compare different variants as if they were the same item
  • treat coupon-only or pre-sale prices as normal prices without warning
  • claim full-market coverage when platform access is incomplete
  • invent prices or listing details

Limitation handling

If the product is too ambiguous:

  • ask one short clarifying question

If platform access is incomplete:

  • switch to Mode 2 unless a narrower Mode 1 comparison is still supportable
  • say which platforms were actually checked
  • avoid claiming a definitive all-platform lowest price
  • do not present a partial platform scan as a full-market cheapest-price result

If listing comparability is weak:

  • lower confidence
  • explain what may not match cleanly

If the visible lowest number depends on unclear conditions:

  • do not present it as the straightforward cheapest option without warning
Usage Guidance
This skill appears internally consistent and low-risk: it asks for a product name and returns a cautious cross-platform price comparison using currently visible prices. Before installing, consider: (1) the agent will need web/network access to fetch platform listings — some Chinese platforms may require region-specific pages or logins, which can push the skill into Mode 2; (2) the skill does not perform purchases or need your credentials, so do not provide payment/account secrets to it; (3) the skill's results depend on live site scraping or queries (not included here), so verify any price it reports before buying because prices and promotions change quickly. If you expect the agent to log in to marketplaces or make purchases, do not install without reviewing the exact runtime browsing/integration behavior.
Capability Analysis
Type: OpenClaw Skill Name: cheap Version: 0.1.0 The skill bundle contains instructions for an AI agent to perform price comparisons across Chinese e-commerce platforms (Taobao, JD.com, etc.). The logic focuses on data accuracy, product matching, and transparent reporting of limitations (Mode 1 vs. Mode 2). There is no executable code, no evidence of data exfiltration, and no malicious prompt injection; the instructions in SKILL.md and the references/ directory are strictly aligned with the stated purpose of finding the best prices.
Capability Assessment
Purpose & Capability
The name and description match the runtime instructions: the skill is explicitly a cross-platform price lookup and comparison tool for Chinese e‑commerce sites. It does not request unrelated binaries, credentials, or configuration, and the references and workflow focus on product matching and visible-price judgment, which are appropriate for the stated purpose.
Instruction Scope
SKILL.md gives high-level, constrained runtime instructions (identify product, check platform prices, decide Mode 1/Mode 2, present results with caveats). It does not instruct the agent to read local files, environment variables, or other system state, nor does it instruct exfiltration to hidden endpoints. The instructions are deliberately cautious about conditional prices and about not inventing data.
Install Mechanism
There is no install spec and no code files; this instruction-only skill writes nothing to disk and does not pull external binaries or archives.
Credentials
The skill requires no environment variables, credentials, or config paths. All declared requirements are empty and proportionate to an instruction-only lookup/analysis skill.
Persistence & Privilege
Flags show always:false and default model invocation settings. The skill does not request persistent or elevated privileges, does not modify other skills, and has no install-time persistence behavior.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cheap
  3. After installation, invoke the skill by name or use /cheap
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release: dual-mode Chinese e-commerce cheapest-price finder with meaningful price comparison, product matching, and price-limited fallback.
Metadata
Slug cheap
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Cheap?

Find the cheapest meaningful visible price for a user-provided product name across major Chinese shopping platforms such as Taobao, Tmall, JD.com, Pinduoduo,... It is an AI Agent Skill for Claude Code / OpenClaw, with 209 downloads so far.

How do I install Cheap?

Run "/install cheap" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Cheap free?

Yes, Cheap is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Cheap support?

Cheap is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Cheap?

It is built and maintained by haidong (@harrylabsj); the current version is v0.1.0.

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