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Academic Paper Parse

作者 Sterlingfrank1 · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install academic-paper-parse-en
功能描述
Conduct in-depth dual-mode reading of academic papers from PDFs or URLs, providing detailed analysis for researchers and concise summaries for quick understa...
使用说明 (SKILL.md)

Paper Parse

Perform a professional, in-depth analysis of any academic paper and produce two reports at different levels of depth in a single pass.

Core Principles

  • Academic Rigor: All descriptions of research design, data, and reasoning must be strictly accurate and consistent with the norms of the relevant discipline.
  • Theoretical Depth: Clearly reveal the paper's theoretical foundations and core assumptions, and articulate how it supplements, revises, or challenges the existing body of theory.
  • Complete Reproduction: Faithfully present the full arc from problem statement to conclusion, with particular attention to methodology and key data — zero omission of critical information.
  • Beyond Translation: The output must illuminate the paper's internal logic and innovations more clearly than a linear translation would.
  • Dual-Mode Output: Always deliver both Part A and Part B together in a single final file.

Workflow

Paper analysis is executed in five steps:

Step 1: Read the Full Paper

Preferably use the pdftotext command to extract the full text; if unavailable, fall back to the read action of the file tool. For URL-sourced papers, attempt to download the PDF before extracting. Coverage must span from abstract to references without exception. For papers containing significant figures or charts, use the view action of the file tool to inspect key pages and save figure information to a text file.

Step 2: Synthesize and Analyze

Create a temporary analysis file temp_analysis.md and extract and organize the following elements:

  • Research questions, hypotheses, methodology, and data sources
  • Core findings and key data points
  • Theoretical contributions and practical implications
  • The paper's fundamental tension, analytical angle, and methodological innovation

This step must not be skipped. It is the deliberate thinking process that guarantees the quality of the final report.

Step 3: Write the Dual-Mode Report

Create the final deliverable file, named in the format [paper-shortname]_reading-report.md.

Before writing Part A, read the template: ./references/part-a-template.md

Before writing Part B, read the template: ./references/part-b-template.md

Step 4: Deliver the Output

Use the message tool to deliver the final report file. In the message body, briefly summarize the paper's core innovation, key findings, and theoretical significance to guide the user to the attachment.

Step 5: Clean Up Temporary Files

Use the delete action of the file tool to remove temp_analysis.md and keep the workspace clean.

Writing Quality Standards

  • Use full prose paragraphs rather than excessive bullet lists; alternate between paragraphs and tables to organize information
  • Provide the original English term alongside any translation the first time a key term appears
  • Cite specific data points and experimental results from the paper to support every claim
  • Part A prioritizes professional completeness; Part B prioritizes insight and concision
  • Separate Part A and Part B with a --- divider in the final file

Final Deliverable Structure

# [Paper Title] — Dual-Mode Reading Report

---

## Part A: In-Depth Academic Analysis

(Full content generated following the structure of part-a-template.md)

---

## Part B: Core Logic Chain and Essential Value Distillation

(Full content generated following the structure of part-b-template.md)
安全使用建议
This skill is coherent and does what it says: read PDFs (or download them), analyze, and produce two structured reports. Before installing, confirm that (1) your platform's file tool can access URLs or that you will supply the PDF as an attachment, since the skill expects to download/ read PDFs; (2) you are comfortable allowing the agent to read the full paper (including figures/references) — avoid sending unpublished or confidential manuscripts if you do not want them processed; (3) the runtime either provides pdftotext or can extract text via the file tool for the best results; and (4) the platform's file/message tools will not leak attachments to third parties. If you need tighter controls, ask the skill author to explicitly name the mechanism used for downloading PDFs and to document any telemetry or external network endpoints used (none are present in the current SKILL.md).
功能分析
Type: OpenClaw Skill Name: academic-paper-parse-en Version: 1.2.0 The skill bundle is a well-structured tool for analyzing academic papers, providing detailed instructions for text extraction, synthesis, and reporting using provided templates. It uses standard file operations and external utilities (pdftotext) consistent with its stated purpose, with no evidence of data exfiltration, malicious execution, or prompt injection attacks.
能力评估
Purpose & Capability
The name/description (deep reading of academic papers) aligns with the actual requirements: reading PDFs/URLs, producing structured reports, and using the file and message tools. Requested artifacts (temp files, templates, pdftotext optional) are reasonable for this purpose.
Instruction Scope
The SKILL.md is specific about extracting text, inspecting figures, creating a temp analysis file, and deleting it afterward — all on-topic. Minor ambiguity: it instructs the agent to "attempt to download the PDF before extracting" but lists only the file and message tools; this is probably fine if the platform's file tool supports URL reads, but the skill does not explicitly name a network/download tool.
Install Mechanism
Instruction-only skill with no install spec or third-party downloads; it optionally prefers pdftotext if available but falls back to the file tool. No binaries or external install actions that would write arbitrary code to disk.
Credentials
No environment variables, credentials, or config paths are requested. The skill's data needs (read PDFs, write temporary files, deliver via message tool) are proportional to its stated function.
Persistence & Privilege
always is false and the skill does not request persistent system presence or elevated privileges. It writes and deletes its own temporary files only and does not modify other skills or system-wide configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install academic-paper-parse-en
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /academic-paper-parse-en 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.2.0
V1.2.0: A English version. V1.1.0: Resolved the absolute path issue mentioned in SKILL.md V1.0.0: The Paper-Parse skill.
元数据
Slug academic-paper-parse-en
版本 1.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Academic Paper Parse 是什么?

Conduct in-depth dual-mode reading of academic papers from PDFs or URLs, providing detailed analysis for researchers and concise summaries for quick understa... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 133 次。

如何安装 Academic Paper Parse?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install academic-paper-parse-en」即可一键安装,无需额外配置。

Academic Paper Parse 是免费的吗?

是的,Academic Paper Parse 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Academic Paper Parse 支持哪些平台?

Academic Paper Parse 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Academic Paper Parse?

由 Sterlingfrank1(@sterlingfrank1)开发并维护,当前版本 v1.2.0。

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