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Install in OpenClaw
/install xianyufilter
Description
自动严格筛选闲鱼个人闲置商品，排除商家和价格区间，确保匹配关键词及规格，输出价格升序前10商品列表。
Usage Guidance
This skill appears to do what it says: it automates a browser search on a marketplace, applies filters, scrapes results, and stores a short record. Before installing, (1) confirm the target domain (the file uses https://www.goofish.com/ — verify this is the legitimate Xianyu endpoint you expect), (2) be aware that search queries and scraped results are written to the agent's memory (memory/YYYY-MM-DD.md) and may persist, and (3) note the skill relies on browser automation-related capabilities (playwright or similar) — make sure you permit that level of automation. If you handle sensitive queries or want no persistent records, avoid enabling the memory write or ask for a mode that disables saving results.
Capability Analysis
Type: OpenClaw Skill
Name: xianyufilter
Version: 1.0.0
The skill is a legitimate tool designed to search and filter second-hand product listings on the Xianyu (Goofish) marketplace. It uses standard browser automation via SKILL.md to navigate goofish.com, apply 'personal idle' filters, and extract product details like price and location. The logic includes benign data validation and local logging to a memory file, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description (严格筛选闲鱼个人闲置商品) match the runtime instructions: open a marketplace site, perform a search, click personal-only filter, scrape results, filter and sort them. No unrelated credentials, binaries, or installs are requested. Minor note: the skill targets https://www.goofish.com/ as the marketplace URL — users should confirm this domain is the intended/official Xianyu endpoint.
Instruction Scope
SKILL.md limits actions to browser automation (open site, navigate, snapshot, click filter, extract DOM fields, validate prices/specs) which is appropriate for a scraping/search helper. It does instruct writing a memory record (memory/YYYY-MM-DD.md) after searches — this is expected for history but is out-of-band data stored by the agent and should be acceptable to the user.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute. That is the lowest-risk install model and is proportional for a browser-scraping helper.
Credentials
No environment variables, credentials, or config paths are requested. The skill does reference related skills (playwright-browser, finder, message) which is reasonable for browser automation, local saving, and messaging — these are supportive but not excessive.
Persistence & Privilege
always is false (normal). The skill writes search summaries to memory/YYYY-MM-DD.md and references using a 'finder' skill to save results — this is expected but does create persistent records of searches and results in agent memory/storage. Ensure you are comfortable with that storage and retention behavior.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xianyufilter - After installation, invoke the skill by name or use
/xianyufilter - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
xianfilter 1.0.0
- 初始发布，支持在闲鱼搜索时自动应用严格筛选条件，确保搜索结果真实有效
- 支持关键词激活（如“闲鱼搜索”、“二手搜索”等），无需手动设置筛选
- 默认只展示个人闲置、单一价格、规格匹配和台式机商品，自动排除商家/价格区间/不符规格/广告等
- 输出TOP10符合条件的商品列表，附价格、地区、链接等，支持多项数据统计
- 支持自定义筛选参数（如价格、地区、成色等）
- 自动记录搜索历史，便于后续查询
Metadata
Frequently Asked Questions
What is 闲鱼商品精选助手?
自动严格筛选闲鱼个人闲置商品，排除商家和价格区间，确保匹配关键词及规格，输出价格升序前10商品列表。 It is an AI Agent Skill for Claude Code / OpenClaw, with 789 downloads so far.
How do I install 闲鱼商品精选助手?
Run "/install xianyufilter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 闲鱼商品精选助手 free?
Yes, 闲鱼商品精选助手 is completely free (open-source). You can download, install and use it at no cost.
Which platforms does 闲鱼商品精选助手 support?
闲鱼商品精选助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 闲鱼商品精选助手?
It is built and maintained by xxxzhuo (@xxxzhuo); the current version is v1.0.0.
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