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Paper Parse
by
Sterlingfrank1
· GitHub ↗
· v1.0.0
3439
Downloads
8
Stars
18
Active Installs
1
Versions
Install in OpenClaw
/install paper-parse
Description
对用户提供的任何学术论文（PDF附件或URL）进行双模式深度研读。当用户请求分析、研读、解读或总结一篇学术论文时，使用此技能。一次性生成两份报告：Part A 面向研究者的深度专业解析，Part B 面向快速理解的核心逻辑与价值提炼。
Usage Guidance
This skill appears to do what it claims: download/parse a paper, run a structured analysis, and produce two templated reports. Before installing or using it, confirm: (1) your runtime provides pdftotext (or an equivalent PDF-to-text tool) and the platform 'file' and 'message' tools the SKILL.md references, because the metadata does not list pdftotext as a required binary; (2) you are comfortable allowing the agent to download and process full PDFs (including references and figures), which may include copyrighted or sensitive content; and (3) temporary files created during analysis will reside in the agent workspace — if you need retention or deletion guarantees, verify workspace handling/policies. If pdftotext is not available, ask the skill author to declare it or provide a fallback extraction method.
Capability Analysis
Type: OpenClaw Skill
Name: paper-parse
Version: 1.0.0
The skill is classified as suspicious due to the potential for shell injection. The `SKILL.md` file instructs the AI agent to use the `pdftotext` command-line utility to process user-provided PDF files or URLs. If the input (filename or URL) is not rigorously sanitized by the OpenClaw platform before being passed to `pdftotext`, this could allow an attacker to inject arbitrary shell commands, leading to Remote Code Execution (RCE). While `pdftotext` is a legitimate tool for the skill's stated purpose, the method of its invocation represents a significant vulnerability.
Capability Assessment
Purpose & Capability
The skill's name, description, templates, and instructions all align: it reads PDFs/URLs, extracts text and key figures, performs analysis, and writes two templated reports. One minor inconsistency: SKILL.md explicitly instructs use of the pdftotext command and the platform 'file'/'message' tools, but the skill metadata lists no required binaries — if pdftotext is not provided by the runtime, the instruction will fail. Otherwise the requested actions (downloading PDFs, parsing, producing reports) are appropriate for the stated purpose.
Instruction Scope
Instructions are focused on paper parsing: extract full text (abstract→references), extract/inspect key figures, create a temp analysis file, then produce Part A and Part B using included templates and deliver via the message tool. The instructions do not ask for unrelated system files, secrets, or external endpoints beyond downloading a PDF from a provided URL. They do mandate thorough coverage (including references and figures), which is consistent with the skill's goal but may require large downloads and file processing.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so it does not write or execute new code on disk. That is the lowest-risk install profile.
Credentials
The skill declares no required environment variables, credentials, or config paths. Its runtime instructions reference only local template files included with the skill and temporary analysis files — proportionate to its purpose.
Persistence & Privilege
always is false and the skill does not request persistent system-wide changes or access to other skills' configurations. It creates temporary workspace files within its own context and uses the platform message tool to deliver results — standard and limited privilege for this functionality.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install paper-parse - After installation, invoke the skill by name or use
/paper-parse - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of paper-parse skill:
- Deeply analyzes any academic paper (PDF or URL) and generates two types of reports in one file.
- Part A: Provides a detailed, professional, researcher-focused analysis.
- Part B: Extracts the core logic, key findings, and value in a concise, insight-driven summary.
- Ensures academic rigor, theoretical depth, and complete reproduction of the paper’s arguments and data.
- Reports always follow a dual-mode output format separated by '---' and are delivered as a single Markdown file.
- Clear workflow with mandatory full-paper read, interim structured analysis, and templated final report.
Metadata
Frequently Asked Questions
What is Paper Parse?
对用户提供的任何学术论文（PDF附件或URL）进行双模式深度研读。当用户请求分析、研读、解读或总结一篇学术论文时，使用此技能。一次性生成两份报告：Part A 面向研究者的深度专业解析，Part B 面向快速理解的核心逻辑与价值提炼。 It is an AI Agent Skill for Claude Code / OpenClaw, with 3439 downloads so far.
How do I install Paper Parse?
Run "/install paper-parse" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Paper Parse free?
Yes, Paper Parse is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Paper Parse support?
Paper Parse is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Paper Parse?
It is built and maintained by Sterlingfrank1 (@sterlingfrank1); the current version is v1.0.0.
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