E-commerce Data Scraper Pro
v1.0.1智能数据抓取工具 - 从网页/API 提取结构化数据，支持批量处理
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (web/API data scraper) match the included files and code. Required libraries (requests, beautifulsoup4) are appropriate and the code implements scraping, batch processing, and output formatting as described.
Instruction Scope
SKILL.md and README instruct the agent/user to run the local Python script (uv run / python3 scripts/data-scraper.py) and pass URLs, optional auth, proxy, delay, and output paths. The instructions do not ask the agent to read unrelated system files or secrets. Note: examples show scraping high-profile sites (Amazon, LinkedIn); users should consider legal/terms-of-service and privacy implications before using the tool on such targets.
Install Mechanism
No install spec is embedded in the skill bundle (instruction-only from platform perspective). Dependencies are listed in requirements.txt and README recommends pip install -r requirements.txt — a standard, low-risk approach. There are no downloads from untrusted URLs or archive extraction steps in the skill metadata.
Credentials
The skill requests no environment variables or credentials in metadata. The CLI accepts an --auth argument and --proxy, which is appropriate for interacting with authenticated APIs or proxies. Exercise caution about supplying sensitive credentials to any third-party tool; this skill does not appear to transmit credentials to unexpected endpoints, but it will send provided auth to target endpoints.
Persistence & Privilege
The skill does not request always:true and does not modify other skills or global agent settings. It runs as a local script and writes outputs to user-specified paths only.
Assessment
This skill is internally consistent with its stated purpose, but take these precautions before installing or running it: 1) Review the scripts/data-scraper.py source yourself (it is included) to confirm it matches your expectations. 2) Install dependencies from official package sources (pip) in a virtual environment. 3) Do not pass sensitive credentials to the tool unless necessary; when using --auth prefer scoped/temporary tokens. 4) Respect target sites' robots.txt, terms of service, and privacy laws — examples in the docs (Amazon, LinkedIn) may violate their terms. 5) Use rate limiting (--delay) and proxies responsibly to avoid IP blocking or causing service issues. 6) Run the tool in a sandbox or with limited filesystem/network permissions if you do not fully trust the publisher. 7) Verify what your platform's "uv run" runner does (it executes the bundled script) so you understand execution context.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.