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.
Is academic-paper-reviewer safe to install?
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?
# 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.
Related skills
paper-context-resolver
140.4KDevelopers and researchers performing deep learning repository reproduction who encounter specific technical ambiguities in documentation
The paper-context-resolver skill provides targeted information from research papers to resolve specific gaps in deep learning repository reproduction. It focuses on technical details like dataset splits, preprocessing steps, evaluation protocols, checkpoint mappings, and runtime assumptions.
ai-research-explore
101.9KResearchers conducting deep learning experiments who have established a task, dataset, benchmark, and evaluation method
The ai-research-explore skill facilitates candidate-only deep learning research exploration. It operates on a durable current_research anchor to manage experiments, rank ideas, and produce auditable outputs while maintaining scientific rigor.
customer-research
46.7KProduct marketers, founders, and researchers who need to ground their strategy in customer data
The customer-research skill provides a framework for analyzing existing research assets and gathering new insights from online communities to inform product marketing, messaging, and persona development.
firecrawl-research-papers
26.1KResearchers, analysts, and developers who need to generate literature reviews or synthesize information from scholarly and industry publications
The firecrawl-research-papers skill enables agents to discover, inspect, and synthesize academic papers, whitepapers, and technical reports using Firecrawl Research tools. It supports semantic search, related-paper expansion, and in-body verification to produce structured literature reviews.