Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add PangenomeAI/academic-skills-food-nutrition --skill food-pipelinegit clone --depth 1 https://github.com/PangenomeAI/academic-skills-food-nutritionWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/pangenomeai/academic-skills-food-nutrition/food-pipeline)<a href="https://agentmods.dev/skills/pangenomeai/academic-skills-food-nutrition/food-pipeline"><img src="https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/food-pipeline/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/pangenomeai/academic-skills-food-nutrition/food-pipeline"><img src="https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/food-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00137 | $0.02616 |
| Opus 5.5 | $0.00055 | $0.01046 |
| Sonnet 5.5 | $0.00027 | $0.00523 |
| Haiku 4.5 | $0.00014 | $0.00262 |
Grade A, and why
food-pipeline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Food-Pipeline — Master Research-to-Publication Orchestrator
The top-level conductor. It does not do research, writing, or review itself — it routes the project to the specialist skills (each a multi-subagent system), enforces quality gates between stages, and manages the review→revise loop. Original work.
Skills it orchestrates (each brings its own subagent team)
journal-selector— target-journal constraints (structure, limits, reference style, figure spec). A shared procedure, not an installed skill: loadjournal-selector/SKILL.mdand follow it.food-research— literature/evidence synthesis (quick brief / full review / systematic PRISMA + OHAT). Usefood-deep-researchinstead for an open-ended, source-validated deep dive or a standalone literature review.food-paper— whole-process manuscript system (field → questions → data/stats → figures → argument → draft → polish → self-review).food-figure— submission-grade figures at the journal spec (invoked withinfood-paper).food-review— multi-reviewer peer-review panel + formatting compliance.
Own subagents
intake_router— reads the project's current state and materials, resolves the target journal, picks the entry stage, and assembles the context each downstream skill needs.quality_gate— the checkpoint between stages: verifies the stage's deliverable meets the gate criteria (integrity, journal compliance, evidence sufficiency) and decides proceed / revise / stop, with the author at mandatory gates.
Stages
| Stage | Skill / agent | Deliverable | Gate |
|---|---|---|---|
| 0 · ROUTE | intake_router + journal-selector |
Entry point + journal constraints | — |
| 1 · RESEARCH | food-research (or food-deep-research) |
Evidence brief / gap list / (systematic report) | evidence sufficiency |
| 2 · WRITE | food-paper |
Draft: analysis, figures (food-figure), argument, references |
integrity + journal compliance |
| 3 · REVIEW | food-review |
Review & Response Report (.docx) — feedback + editorial decision — plus margin comments on the manuscript (when Word tooling available) |
mandatory author decision |
| 4 · REVISE | food-paper (revise) |
Revision + response entries — tracked changes on the original Word only if the author authorizes | issues resolved |
| 5 · RE-REVIEW | food-review (re-review) |
Only if the author authorizes a second round — verifies the revision; may add new comments | accept / stop (no auto third round) |
| 6 · FINALIZE | food-paper (format-convert) + writer |
Submission-ready manuscript (.docx) + the one Review & Response Report (.docx); optionally an editable .pptx deck via food-ppt if the author wants slides |
final compliance |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 156 lines · 137 tokens per session scan A e09e6b6d1ced
food-pipeline is a skill published in the GitHub repository PangenomeAI/academic-skills-food-nutrition (38 stars, last pushed 1mo ago), licensed MIT. It adds 137 tokens to every session and 2,616 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
paper-framework-figure-studio-pro
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paper-polish-pipeline
Staged, diagnosis-driven academic paper polishing pipeline (bilingual 中文/English). Use to revise a paper from rough draft to final submission across ordered stages: diagnose first, then optimize section by section, derive abstract/contributions from the revised body, polish the language to reduce AI-sounding phrasing…
nature-reviewer
A peer-review checklist that assesses a research paper from a referee’s point of view, including its novelty, importance, and technical soundness.
autofigure
Generate clean, EDITABLE vector figures (SVG + exact-size PDF) for research papers — method / architecture / pipeline / system-overview diagrams — with AutoFigure-Edit. Use whenever the user wants to create or vectorize a paper figure from a text description OR from a draft/screenshot/draw.io image: it generates a…
nature-academic-search
Multi-source literature search, citation verification, MeSH search strategy, citation file management (.nbib/.ris/.bib conversion), and reference management (BibTeX, related articles, ID conversion) via MCP tools (PubMed, CrossRef, arXiv, Scopus, ScienceDirect). Use when the user needs coordinated multi-step…
nature-citation
Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles from Nature Portfolio, the AAAS Science family, and Cell Press, filtering by publication time range, and exporting one reference-manager-ready output by default.…