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bargain-hunter
by
hanxueyuan
· GitHub ↗
· v0.1.0
· MIT-0
90
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install bargain-hunter
Description
AI bargain hunting
README (SKILL.md)
🛒 Bargain Hunter
AI bargain hunting
What It Does
Aggressive deal-seeking agent that monitors flash sales, clearance events, warehouse deals, and price errors across e-commerce platforms. Uses historical pricing data to identify genuine bargains versus fake discounts. Supports custom alert rules and spending limits.
Usage
When the user mentions buying, purchasing, shopping, or looking for product deals, this skill activates to help find the best options.
Example Prompts
- "Find me the best deal on [product]"
- "Compare prices for [product] across platforms"
- "Is there a coupon for [product]?"
- "Help me buy [product] under [budget]"
Configuration
Set up API credentials in environment variables as needed for each supported platform.
Architecture
User Request → Intent Parser → Product Search API → Result Ranker → Recommendation Display
Roadmap
- v0.1: Basic product search via web search
- v0.2: Platform API integration
- v0.3: Price tracking and alerts
- v1.0: Full autonomous purchasing flow
Author
Created by hanxueyuan as part of the Agent Commerce initiative. License: MIT
Usage Guidance
This skill is not outright malicious, but it lacks important implementation and security details. Before installing or using it, ask the author to: (1) list exactly which platform APIs it will use and the precise environment variables required, (2) describe how monitoring works (frequency, background processes), where data and historical prices are stored, and who can access them, (3) confirm whether the skill can perform purchases autonomously and, if so, require explicit user approval flows and spending limits, and (4) provide a privacy/retention policy for collected data. If you plan to give it access to any payment or API credentials, only do so after you have explicit, concrete answers and prefer testing in a sandbox account. Because the current SKILL.md is vague about these matters, treat it as suspicious until those gaps are closed.
Capability Analysis
Type: OpenClaw Skill
Name: bargain-hunter
Version: 0.1.0
The skill bundle contains only metadata and documentation (SKILL.md) for a shopping assistant. There is no executable code, and the instructions are consistent with the stated purpose of finding product deals without any signs of prompt injection or malicious intent.
Capability Assessment
Purpose & Capability
Name/description match the high-level purpose (bargain hunting, price comparison). However, claimed capabilities like continuous monitoring, historical price analysis, alerts, and 'full autonomous purchasing' imply persistent storage, platform API access, and credential use — none of which are declared or specified. Saying "Set up API credentials in environment variables as needed" without declaring which credentials or requiring env vars is an inconsistency.
Instruction Scope
SKILL.md is high-level and leaves runtime behavior unspecified. It instructs activation whenever the user mentions buying/shopping and describes monitoring/alerts, but gives no concrete limits on data collection, polling frequency, storage locations, or where alerts are sent. That vagueness grants the agent broad discretion (possible continuous monitoring or arbitrary network access) without bounds.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk install footprint. Nothing will be written to disk by an installer because there is no install mechanism declared.
Credentials
The doc tells users to "Set up API credentials in environment variables as needed for each supported platform," but the skill declares no required env vars or primary credential. For the claimed platform integrations (e.g., e-commerce APIs) you'd normally expect explicit env var names and justification; that mismatch is a red flag because it may later ask for sensitive keys without upfront disclosure.
Persistence & Privilege
Flags show normal defaults (always: false, agent can invoke autonomously). That is expected. However the roadmap explicitly mentions 'full autonomous purchasing flow' in future — if that is implemented later, it could require higher privileges (payment credentials, order placement). The current package does not request those, but the roadmap increases future risk and should be treated cautiously.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install bargain-hunter - After installation, invoke the skill by name or use
/bargain-hunter - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
bargain-hunter 0.1.0 initial release
- Launches an AI-powered agent for finding bargains and genuine deals across e-commerce platforms.
- Monitors flash sales, clearance events, warehouse deals, and price errors.
- Uses historical pricing to filter out fake discounts.
- Customizable alert rules and spending limits.
- Activates automatically with shopping-related prompts.
- Supports basic product search via web scraping in this version.
Metadata
Frequently Asked Questions
What is bargain-hunter?
AI bargain hunting. It is an AI Agent Skill for Claude Code / OpenClaw, with 90 downloads so far.
How do I install bargain-hunter?
Run "/install bargain-hunter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is bargain-hunter free?
Yes, bargain-hunter is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does bargain-hunter support?
bargain-hunter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created bargain-hunter?
It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v0.1.0.
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