Install
$ agentstack add skill-pangenomeai-academic-skills-food-nutrition-food-review ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
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_methodologyonly. - 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)
review_coordinator(editor-in-chief) — sets the target journal + scope, dispatches the reviewers, synthesizes their reports, resolves disagreement, and issues the decision.reviewer_methodology— design, statistics, reproducibility, validation.reviewer_domain— novelty, significance, scope fit, domain correctness (food/nutrition science).reviewer_integrity— data & citation integrity, food-safety/ethics, reporting completeness.devils_advocate— adversarial challenge to the paper's central claim.format_checker— formatting & reference-style compliance vs the target journal.
Workflow
flowchart TD
A[Manuscript in] --> B[review_coordinatorresolve target journal + scope]
B --> J{Target journal?}
J -- named --> JS[journal-selectorload journal requirements]
J -- none --> AP[default: APA 7.0]
B --> R1[reviewer_methodology]
B --> R2[reviewer_domain]
B --> R3[reviewer_integrity]
B --> R4[devils_advocate]
JS --> FC[format_checker]
AP --> FC
R1 --> C[review_coordinatorsynthesize + decision]
R2 --> C
R3 --> C
R4 --> C
FC --> C
C --> O[Panel report:per-reviewer reports + format check +editorial decision + revision checklist +response-letter skeleton]
Formatting / target journal
The review_coordinator first establishes the target journal. If the user names one, it calls the journal-selector skill to load that journal's structure, limits, and reference/citation style; format_checker then audits the manuscript against those requirements. If no journal is named, APA 7.0 is the default standard for the formatting check.
Output
A consolidated panel report: each reviewer's report (strengths → major → minor, each concern actionable), the devil's advocate challenge, the formatting compliance report, and the coordinator's editorial decision (Accept / Minor / Major / Reject) with a prioritized revision checklist and a response-letter skeleton the author can fill in. Critique the work, not the author.
References (load as needed)
references/review-criteria.md— what each reviewer checks (food-tuned).references/quality-rubrics.md— 1–5 scoring per dimension + weights.references/editorial-decisions.md—review_coordinator: Accept/Minor/Major/Reject logic + overrides.references/ethics-integrity-checklist.md—reviewer_integrity(canonical; shared withdeep-research).food-paper/references/statistics-reporting.md—reviewer_methodology: stats red flags.
Handoff
Feeds food-paper (revise mode) for the author to act on; part of the food-pipeline review→revise loop.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: PangenomeAI
- Source: PangenomeAI/academic-skills-food-nutrition
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.