academic-paper-reviewer

The academic-paper-reviewer is a multi-agent system that simulates an international journal peer review process. It uses a team of 7 agents to analyze manuscripts, providing structured feedback, editorial decisions, and revision roadmaps from multiple perspectives including methodology, domain expertise, and a devil's advocate.

5.3K
Installs
6
Use cases
5/10
Quality

Is academic-paper-reviewer safe to install?

Review the source first

Review the source first: our audit of academic-paper-reviewer's source files found 1 shell command, 0 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill reads local manuscript files and related research documents. It executes a pipeline integrity script and interacts with other agents within the academic-pipeline ecosystem. It is constrained by read-only rules regarding the manuscript itself.

How we audit skills: our security review methodology.

Who is this skill for?

Academic researchers and authors seeking pre-submission feedback, methodology validation, or verification of revisions.

What can you do with it?

  • Comprehensive peer review of academic papers
  • Verification of revisions against previous review comments
  • Quick quality assessment of manuscripts
  • In-depth methodology and statistical validity checks
  • Socratic-style guided revision coaching
  • Calibration of reviewer accuracy and error profiles

How good is this skill?

Quality score: 5/10. The skill documentation is highly detailed, providing clear operational modes, agent roles, and strict enforcement rules. It includes specific references to internal protocols and pipeline integration.

What does the skill file contain?

SKILL.md
# Academic Paper Reviewer v1.10.0 — Multi-Perspective Academic Paper Review Agent Team

Simulates a complete international journal peer review process: automatically identifies the paper's field, dynamically configures 5 reviewers (Editor-in-Chief + 3 peer reviewers + Devil's Advocate) who review from four non-overlapping perspectives — methodology, domain expertise, cross-disciplinary viewpoints, and core argument challenges — ultimately producing a structured Editorial Decision and Revision Roadmap.

**v1.1 Improvements**:
1. Added Devil's Advocate Reviewer — specifically challenges core arg...

Frequently asked questions

Does the agent rewrite my paper?

No. The skill operates under a strict read-only constraint. It produces review reports, decisions, and roadmaps as separate documents and never modifies the submitted manuscript file.

How does the Devil's Advocate agent function?

The Devil's Advocate agent identifies logical fallacies, detects cherry-picking, validates logic chains, and provides the strongest counter-arguments to the paper's core claims.

Can I use this for post-revision verification?

Yes. The re-review mode is designed for Pipeline Stage 3' to verify if revisions address previous review comments using a traceability matrix.

What happens if the Devil's Advocate finds critical issues?

If the Devil's Advocate identifies critical issues, the editorial decision cannot be set to Accept.

Data sourced from imbad0202/academic-research-skills on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

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