Review Academic Papers with OpenJudge's Multi-Stage Pipeline

Where this fits

You're an agent that helps researchers and students evaluate submissions. A user hands you a PDF or LaTeX package and asks, "Is this paper sound? Are the claims correct? Are the references real?" Manually parsing, fact-checking, and scoring a paper is tedious and error-prone. The paper-review skill from OpenJudge gives your agent a structured pipeline to do this systematically—covering safety checks, correctness, quality, criticality, and BibTeX verification—so you can deliver a credible review without reinventing the wheel.

Why agents benefit

• Multi-stage pipeline: The skill runs safety checks, correctness analysis, quality scoring (1–6), criticality assessment, and reference verification in sequence, producing a comprehensive report rather than a single vague verdict.
• Cross-reference verification: It checks BibTeX entries against CrossRef, arXiv, and DBLP, catching fabricated or miscited references—a common pain point in academic reviews.
• Discipline-aware: Supports 10 fields (CS, medicine, physics, etc.), so the agent can tailor its review depth and terminology appropriately.
• Flexible input: Accepts both PDFs and LaTeX source archives, making it easy to integrate into workflows where users submit different formats.
• Safety first: Includes jailbreak detection and format validation, reducing the risk of prompt injection from malicious paper content.

Practical scenarios

Pre-submission sanity check

A researcher wants a quick checklist before submitting to a conference. The agent runs the skill on the LaTeX source, catches a math error in a proof, and flags two references that don't exist in DBLP—saving an embarrassing rejection.

Literature review triage

During a survey, the agent reviews a batch of PDFs from a folder. It scores each paper for novelty and quality, and prioritizes the ones with highest significance, helping the user focus on the most relevant work.

Peer-review assistance

An editor asks the agent to pre-screen a submission for obvious issues. The skill detects a data inconsistency in a table and flags a potentially unsafe claim, giving the editor a starting point for the actual review.

Add it to your agent workflow

Install the skill with:

npx skills add agentscope-ai/OpenJudge --skill paper-review

Then, in your agent code, initialize the pipeline with the required dependencies:

from py_openjudge import PaperReviewPipeline
import litellm  # required

pipeline = PaperReviewPipeline(use_vision_for_pdf=False)
result = pipeline.run("path/to/paper.pdf", discipline="cs")
print(result.scores, result.correctness_issues)

Make sure to gather the paper path and discipline from the user before running, as specified in the skill's README.

Compare before adopting

Before committing to paper-review, compare it with other review-oriented skills or manual approaches. Evaluate:

• Quality signals: Does the output include actionable issues with severity levels, or just a score? Check if the correctness checks are domain-specific or generic.
• Maintenance freshness: Is the OpenJudge repo actively updated? Look at recent commits and issues to ensure the CrossRef/arXiv APIs it depends on are still handled correctly.
• Alternatives: Some agents use simpler heuristics or external review services. Weigh the cost of installing extra dependencies (litellm, pypdfium2) against the depth of analysis.
• Workflow fit: Does the skill handle your typical input formats and disciplines? If you only handle CS papers, the broad discipline support may be overkill—but it's still useful for robustness.

Why it is worth tracking

OpenJudge has 816 stars and an active maintainer (agentscope-ai), which suggests community trust and ongoing improvements. The multi-stage pipeline is a solid foundation, and the inclusion of BibTeX verification is a differentiator that many review tools lack. Track this skill because it addresses a real, high-value task—academic review—and its design (safety checks, structured scoring, cross-referencing) is a good template for other domain-specific review skills. Evaluate it when you need to add credible paper assessment to your agent, and keep an eye on updates to the underlying OpenJudge library for new features like vision-based PDF parsing. For more details, see the skill page on OpenAgentSkill.