A professional research tool that retrieves full-text PDFs to synthesize technical trade-offs and evidence across multiple academic papers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install research-paper-compare
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install research-paper-compare using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Paper Compare?
Paper Compare is a specialized utility within the Openclaw Skills ecosystem designed for rigorous academic and technical research. Unlike basic LLM prompts that rely on hallucinated data or abstracts, this skill enforces a strict full-text retrieval policy. It ensures that every comparison is grounded in the actual methodology, results, and discussion sections of the source PDFs.
By normalizing disparate inputs—whether they are URLs, titles, or local files—the skill creates a standardized framework for analysis. It focuses on identifying core assumptions, strengths, and weaknesses, providing a high-fidelity overview that is essential for literature reviews, competitive analysis, or technical due diligence.
Paper Compare Use Cases
- Conducting comprehensive literature reviews for academic publications.
- Comparing competing technical methodologies in computer science or engineering.
- Evaluating evidence quality across multiple clinical trials or scientific studies.
- Summarizing the state-of-the-art trade-offs for a specific research niche.
- Performing technical due diligence on whitepapers or patent filings.
How Paper Compare Works
- Input Normalization: The skill accepts paper titles, direct URLs, or local PDF files and converts them into standardized paper records.
- Full-Text Retrieval: It attempts to fetch the complete PDF for every identified paper to avoid abstract-only bias.
- Dimension Alignment: The system identifies shared dimensions (e.g., methodology, metrics, hardware constraints) for an apples-to-apples comparison.
- Evidence Grading: It evaluates the quality and uncertainty of claims made within the source texts.
- Synthesis Generation: It outputs a structured comparison table followed by a deep analytical narrative.
Paper Compare Setup
To integrate Paper Compare into your local environment, ensure you have the Openclaw Skills CLI installed and then add the skill:
claw install paper-compare
Configure your citation and PDF retrieval preferences in the config.yaml file to ensure the agent has access to your preferred research databases.
Paper Compare Data Schema & Taxonomy
The skill organizes research data through a structured internal schema to maintain consistency:
| Component | Description |
|---|---|
| Paper Record | Metadata containing title, authors, year, and source URI. |
| Comparison Matrix | A table-first structure mapping papers against specific research dimensions. |
| Evidence Policy | Rules defined in references/evidence-policy.md for marking claim uncertainty. |
| Output Patterns | Templates for Markdown or LaTeX reports located in output-patterns.md. |
Paper Compare Advanced Features
- Multi-source ingestion (URLs, local files, and search queries) for streamlined research workflows.
- Block-on-Failure logic: Automatically halts processing if a full PDF is unavailable to prevent low-fidelity comparisons.
- Evidence Quality Marking: Explicitly tags claims based on the strength of the underlying data.
- Table-First Synthesis: Prioritizes structured data views before generating natural language analysis.
- Cross-paper normalization for heterogeneous evaluation settings.
SKILL.md
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