food-review

Solid

Multi-reviewer peer-review system for food & nutrition manuscripts. Simulates an editorial panel — a coordinating editor, three domain reviewers (methodology/statistics, domain/novelty, integrity/ethics), and a devil's advocate — plus a formatting-compliance check against the target journal (APA 7.0 by default, or a specific journal via journal-selector). Grounds the panel first: reads the manuscript's cited sources and the field's key literature into a knowledge base, so novelty and correctness are judged from evidence, not impression. Use for pre-submission review, reviewer reports, mock peer review, or a critique before submitting. Triggers: review my paper, peer review, referee report, reviewer reports, critique my manuscript, pre-submission review, is my paper ready, mock review, editorial review, assess novelty and rigor.

Code & Development 19 stars 2 forks Updated 4 days ago MIT

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Quality Score: 84/100

Stars 20%
43
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Food-Review — Multi-Reviewer Peer Review for Food & Nutrition Manuscripts Give the author the review a good food-science journal would return, from a **panel** rather than a single voice. Original work; architecture informed by open community peer-review skills (see the repo README Acknowledgements). ## Modes - **full** (default) — the whole panel: three domain reviewers + devil's advocate + format check, synthesized by the coordinator into an editorial decision. - **quick** — coordinator + one blended reviewer pass; a fast readiness verdict. - **methodology** — deep dive by `reviewer_methodology` only. - **re-review** — re-assess a revised manuscript against the prior reports and the author's response, verifying each point was addressed. ## Panel (dispatch via the Agent tool; reviewers run in parallel) 1. **`review_coordinator`** (editor-in-chief) — sets the target journal + scope, dispatches `knowledge_builder`, then the reviewers, synthesizes their reports, resolves disagreement, and issues the decision. 2. **`knowledge_builder`** — **runs first**: reads the manuscript's cited sources (Pathway A) and the field's key literature (Pathway B) into a shared **knowledge base** so the panel judges the science from knowledge, not impression. 3. **`reviewer_methodology`** — design, statistics, reproducibility, validation. 4. **`reviewer_domain`** — novelty, significance, scope fit, domain correctness (food/nutrition science). 5. **`reviewer_integrity`** — data & citation integ...

Details

Author
PangenomeAI
Repository
PangenomeAI/academic-skills-food-nutrition
Created
2 weeks ago
Last Updated
4 days ago
Language
Python
License
MIT

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