PDF Processor
v2.0.0学术PDF处理：提取文字、判断语言、翻译（英文→中文）、生成200字纯中文概述。使用本地Ollama模型，不消耗线上API。适用于学术论文、研究报告等PDF文件的处理。当用户说"处理PDF"、"翻译论文"、"生成论文概述"时，或用户将PDF放入论文处理目录时使用。
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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
Overall coherent: name/description (PDF extraction, translate, summarize using local Ollama) matches the included scripts which call a local Ollama HTTP API and read/write files under a user Documents directory. Minor inconsistency: the registry metadata at the top lists no required binaries/env, while package.json's openclaw.requires lists 'python3' and 'pdfplumber' and service 'ollama' — carnet: 'pdfplumber' is a Python package (not a system binary) and package.json also includes install steps. This appears to be a packaging/metadata mismatch rather than a functional red flag.
Instruction Scope
SKILL.md and scripts limit activity to PDF text extraction, local model calls (http://localhost:11434), progress files, and moving files within ~/Documents/论文处理; instructions do not attempt to read unrelated system paths or exfiltrate data to remote servers. The scripts do start 'ollama serve' locally and make HTTP requests to localhost only.
Install Mechanism
This is instruction-only in the skill bundle (no remote downloads). package.json documents Python dependency installation and manual instructions to install Ollama from the official site — no suspicious external URLs or automatic archive downloads are present.
Credentials
The skill requests no environment variables or credentials. The scripts operate against a local HTTP service and the user's home Documents directories only, which is proportionate to the stated purpose.
Persistence & Privilege
always is false and the skill does not request elevated privileges or attempt to alter other skills or global agent settings. It creates and deletes progress files only within its working directory.
Assessment
This skill appears to do what it claims: extract text from PDFs, call a local Ollama model to translate and summarize, and organize results under ~/Documents/论文处理. Before running: (1) confirm you have Ollama and the qwen2.5:7b model installed locally and that you're comfortable starting a local Ollama process; (2) inspect scripts/process_pdf.py and scripts/generate_index.py (they are included) and consider running them on non-sensitive PDFs first; (3) note the metadata mismatch (package.json lists python3/pdfplumber/ollama while registry metadata listed none) — ensure you install required Python packages (pdfplumber, requests) in a controlled environment (virtualenv/container) to avoid impacting system Python; (4) back up any sensitive PDFs you don't want moved or deleted, because the script moves PDF files and deletes temporary extraction files; (5) run the tool locally (no external network calls are present other than localhost) and consider limiting its filesystem access by running in a dedicated directory or container if you want extra containment.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.