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 | $0.00068 | $0.01308 |
| Sonnet 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 12d 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.
- 12d 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 (31 stars, last pushed 12d ago), licensed MIT. It adds 137 tokens to every session and 2,616 once invoked, about $0.0007 per session on Opus 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.
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autofigure
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nature-paper2ppt
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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.
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…