Paper Analyzer
v1.0.0学术论文结构化阅读、拆解与分析工具。基于12个阅读要素（研究背景、研究问题、研究结论、文献综合、文献批评、研究方法、理论视角与理论框架、一致性发现、不一致性发现、研究贡献、研究不足、未来研究展望）对论文进行深度拆解，结果保存为Excel文件。当用户提到需要针对论文/文献/paper进行拆解、解析、分析、阅读、梳理...
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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
Name/description (paper analysis → produce Excel) matches the SKILL.md and the included export_excel.py. Required actions (reading PDFs/Word, extracting text, building JSON, writing Excel into the paper's folder) are consistent with the stated purpose. No unrelated environment variables or external services are requested.
Instruction Scope
Instructions explicitly tell the agent to read user-provided local files (PDF/Word), possibly call the system pdftotext, record the paper folder path and save the Excel there, and present a chat summary. Reading local files and saving output to the same folder are necessary for the task but mean the agent will access whatever files the user supplies; users should avoid feeding sensitive documents if they aren't comfortable with local processing.
Install Mechanism
There is no install spec (instruction-only), so nothing is downloaded during install — lower risk. The included Python script depends on openpyxl (and Python 3). The SKILL.md assumes python3 and optional pdftotext exist; the skill may fail if these are missing. No remote downloads or obscure URLs are present.
Credentials
The skill declares no environment variables, no credentials, and no config paths. Its access to local files is appropriate for its purpose and proportionate to the described functionality.
Persistence & Privilege
always is false and the skill does not request persistent or cross-skill privileges. It does not alter other skills or global agent settings.
Assessment
This skill appears coherent and low-risk, but check a few things before use: (1) Inspect scripts/export_excel.py yourself (it's included) to confirm behavior—it's straightforward and only writes Excel files. (2) Ensure your agent environment has Python3 and the openpyxl package (and pdftotext if you plan to rely on it); missing dependencies will cause runtime errors. (3) Be mindful that the skill will read any local files you point it to and will save Excel files into the same folder (risk of overwriting). Don’t feed documents containing secrets or sensitive data unless you are comfortable with local processing. (4) If you plan to let the agent invoke skills autonomously, remember this skill will have access to any local file paths you provide at runtime. If you want greater assurance, run the export script manually on sample JSON to confirm outputs before granting the agent broad file access.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.