Finance Paper Daily
v1.0.0每日金融学术论文自动抓取并生成 Excel 报告。从 arXiv (q-fin)、Semantic Scholar、OpenAlex、Google Scholar 四个来源获取最新金融领域论文（量化金融、资产定价、风险管理、算法交易、FinTech等），整理成格式化 Excel 文件保存到用户桌面，文件名为 YY...
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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
Name/description (fetch finance papers from arXiv, Semantic Scholar, OpenAlex, Google Scholar and produce an Excel on Desktop) align with the included script which queries those public APIs and builds an Excel file.
Instruction Scope
SKILL.md tells the user to install openpyxl and scholarly and run scripts/fetch_papers.py; the script performs only network calls to the stated APIs, local Excel generation, and writes to ~/Desktop. Note: Google Scholar access uses the scholarly library (unofficial scraping) and is explicitly documented as unstable; the script may auto-install missing Python packages at runtime.
Install Mechanism
No install spec in registry (instruction-only). The script may call pip at runtime (subprocess.check_call) to install openpyxl and scholarly if missing. This is expected for a Python script but means packages will be fetched from PyPI at runtime rather than a reviewed install manifest.
Credentials
The skill does not request environment variables, credentials, or access to system config paths. Its network calls go to public API endpoints (arXiv, semanticscholar.org, api.openalex.org) and use a mailto parameter with a placeholder email; no secret exfiltration is requested or present.
Persistence & Privilege
always:false and no modifications to other skills or system-wide settings. The script writes output only to the user's Desktop directory (created under the user's home) which is consistent with its purpose.
Assessment
This skill appears coherent, but review and run cautiously: (1) inspect scripts/fetch_papers.py before running. (2) Run inside a Python virtualenv rather than using --break-system-packages to avoid altering system packages. (3) Be aware the script will access the internet (arXiv, Semantic Scholar, OpenAlex, and Google Scholar via the scholarly scraper) and may auto-install openpyxl/scholarly from PyPI. (4) Google Scholar scraping is unofficial and may be rate-limited or blocked — expect intermittent failures. (5) If you prefer, copy the script to a controlled environment, confirm the install commands, and run with network access only to the listed public APIs.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.