Paper Reader Deep

深入理解PDF论文，提取关键信息，批判性分析并生成结构化深度阅读报告，关联用户研究方向。

This skill appears coherent and not malicious, but review these points before installing: 1) It will read every *.pdf in the folder you point it at and create Markdown reports in that same folder — do not run it on directories containing sensitive/private PDFs you do not want processed or stored as plaintext. 2) The script makes an optional network call to CrossRef (api.crossref.org) to resolve DOIs; this is expected for metadata lookup. If you need fully offline operation, remove or disable the DOI query. 3) There are small inconsistencies: SKILL.md/README list PyYAML as a dependency though the script doesn't use it, and SKILL.md says it will save a record to MEMORY.md but the script does not implement that — if you rely on MEMORY.md logging, confirm/implement it. 4) The actual 'deep AI analysis' sections are left as placeholders in the generated reports and will be produced by the model when the agent is invoked — review how your agent will perform that step and where those outputs will be stored or transmitted. 5) If you have privacy concerns, inspect the script yourself (it's short and readable) or run it in a sandboxed environment. Overall: functionally consistent with its description, no unexpected credentials or hidden endpoints detected.

Type: OpenClaw Skill Name: paper-reader-deep Version: 0.1.1 The 'paper-reader-deep' skill is a legitimate tool designed to automate the extraction of metadata and key data from PDF research papers. It uses the `pdfplumber` library for local text processing and makes a standard API call to `api.crossref.org` to retrieve publication details via DOI. The Python script (`scripts/deep_reader.py`) and the associated Markdown instructions are well-structured, transparent, and strictly follow the stated purpose of generating structured research reports without any evidence of malicious behavior, prompt injection attacks, or unauthorized data exfiltration.