← Back to Skills Marketplace
sterlingfrank1

Academic Paper Parse

by Sterlingfrank1 · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ✓ Security Clean
133
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install academic-paper-parse-en
Description
Conduct in-depth dual-mode reading of academic papers from PDFs or URLs, providing detailed analysis for researchers and concise summaries for quick understa...
README (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)
Usage Guidance
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).
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install academic-paper-parse-en
  3. After installation, invoke the skill by name or use /academic-paper-parse-en
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug academic-paper-parse-en
Version 1.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Academic Paper Parse?

Conduct in-depth dual-mode reading of academic papers from PDFs or URLs, providing detailed analysis for researchers and concise summaries for quick understa... It is an AI Agent Skill for Claude Code / OpenClaw, with 133 downloads so far.

How do I install Academic Paper Parse?

Run "/install academic-paper-parse-en" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Academic Paper Parse free?

Yes, Academic Paper Parse is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Academic Paper Parse support?

Academic Paper Parse is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Academic Paper Parse?

It is built and maintained by Sterlingfrank1 (@sterlingfrank1); the current version is v1.2.0.

💬 Comments