About peer-review
An academic peer-review skill for evaluating research manuscripts against scholarly and methodological standards. It structures evidence-based critiques, assesses contribution and venue fit, and produces a formal reviewer report with a recommendation.
Key features
- 01Novelty and rigor assessment
- 02Methodology and evidence audit
- 03Citation and reference checks
- 04Target-venue calibration
- 05Formal reviewer report
Use cases
- 01Reviewing a manuscript before submission
- 02Checking claims against reported results
- 03Preparing revision priorities
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ poemswe/ co-researcher --skill peer-reviewAfter installing, type/peer-reviewin Claude Code to confirm it loaded.
Details
From the project README1. Dimensional Evaluation
- Significance/Novelty: Does it move the needle?
- Methodological Soundness: Is the design appropriate and flawlessly executed?
- Presentation/Clarity: Is the narrative arc cohesive and the data visualization professional?
- Ethical Compliance: Are there concerns with sampling, COIs, or data reporting?
2. Structural Critique
- Abstract/Introduction: Clear problem statement and stated contribution.
- Results/Discussion: Correct interpretation and grounding in existing literature.
- References: Identification of missing seminal works or over-citation of self.
3. Decision Logic
- Accept: Rare, minor formatting only.
- Major/Minor Revision: Path to publication exists.
- Reject: Fatal flaws in methodology or lack of original contribution.
<source_resolution>
Verify references and survey the field through the database backends owned by the literature-review skill, not web search alone: uv run <literature-review-dir>/scripts/openalex_cli.py (resolve DOIs/titles, citation counts, related work), europepmc_api.py (life-science full text and citation graphs), search_arxiv.py (preprints), read_paper.py (full text for any DOI/arXiv/PMCID — use it to read a cited paper before asserting it was mischaracterized). Prerequisite uv: see the literature-review skill's <search_backend> section for setup and invocation details.
</source_resolution>
<output_format>
Peer Review Report: [Title/Subject]
Recommendation: [Accept/Minor Rev/Major Rev/Reject]
Executive Summary: [2-3 sentences on core contribution and primary concern]
Dimensional Scores (1-5):
- Novelty: [S] | Rigor: [S] | Impact: [S] | Clarity: [S]
Detailed Comments:
- Major Points:
- [Point] | [Evidence] | [Actionable Change]
- Minor Points:
- [Formatting, Citations, Typos]
Final Verdict Justification: [Detailed PhD-level reasoning for the recommendation] </output_format>
After the review, ask: - Should I check for specific "Seminal Works" that might have been missed? - Would you like me to refine the "Response to Reviewers" strategy? - Should I analyze the manuscript's fit for a specific target journal (e.g., CVPR, Nature, NEJM)?