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-researchgit 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-research)<a href="https://agentmods.dev/skills/pangenomeai/academic-skills-food-nutrition/food-research"><img src="https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/food-research/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-research"><img src="https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/food-research.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 | $0.00154 | $0.04703 |
| Opus 5.5 | $0.00062 | $0.01881 |
| Sonnet 5.5 | $0.00031 | $0.00941 |
| Haiku 4.5 | $0.00015 | $0.00470 |
Grade A, and why
food-research 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Food-Research — Comprehensive Evidence Synthesis for Food & Nutrition Science
Build a broad, defensible understanding of a topic by searching many sources, screening them consistently, and synthesizing across them. Original work; no third-party research text is reused. Architecture informed by open community literature-search skills (see Acknowledgements in the repo README).
Streams — pick one and when to use it
Four streams share the same search/screening machinery but differ in depth. Three
of them (quick brief, full review, deep research) prioritize sources by
journal ranking via journal_ranker; the systematic stream does not
(inclusion is by pre-specified eligibility, not prestige).
| Stream | Use it when… | Depth | Journal-ranking filter |
|---|---|---|---|
| quick brief | You need fast orientation on a topic — "what's known about X", a starting point, a scoping glance. | One search pass; top sources; key open questions. May run inline without subagents. | Yes — Tier 1 only, usually |
| full review | You want a thorough narrative review manuscript (the default). | Four-layer search + two-phase screening + synthesis → write manuscript (writer) → review loop (reviewer) → Word (.docx). |
Yes — Tier 1 preferred, Tier 2 to fill gaps |
| deep research | The question extends beyond the literature — regulatory landscape, market/technology state, an open-ended "investigate this" — or you want an iterative, verified deep dive on a subtopic. | Calls the food-deep-research skill (scope → plan → investigate → verify → synthesize → critique loop); its literature portion still passes through journal ranking. |
Yes — for the literature portion |
| systematic | You need a reproducible, auditable PRISMA review / meta-analysis with a protocol, ≥3 databases, dual independent screening, and risk-of-bias (OHAT) — i.e. a defensible, publishable systematic review. | Full systematic_reviewer pipeline (protocol → sr_search → dual 3-step sr_screener + sr_moderator → PRISMA → data_extractor results table → risk_of_bias OHAT → sr_synthesis → reviewer loop → writer Word .docx). |
No — eligibility-based inclusion |
What ships with it
20 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.
- agents/data_extractor.md 2.8 KB
- agents/journal_ranker.md 3.9 KB
- agents/reviewer.md 2.9 KB
- agents/risk_of_bias.md 4.7 KB
- agents/screener_appraiser.md 2.3 KB
- agents/search_strategist.md 1.7 KB
- agents/source_scout.md 1.7 KB
- agents/sr_moderator.md 1.8 KB
- agents/sr_screener.md 1.8 KB
- agents/sr_search.md 1.7 KB
- agents/sr_synthesis.md 3.1 KB
- agents/synthesis.md 1.8 KB
- agents/systematic_reviewer.md 4.6 KB
- agents/writer.md 4.0 KB
- references/full-text-access.md 13 KB
- references/journal-priority.csv 16 KB
- references/literature-sources.md 2.2 KB
- references/ohat-risk-of-bias.md 4.3 KB
- references/reporting-guidelines.md 1.5 KB
- references/source-quality-hierarchy.md 1.6 KB
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 · 210 lines · 154 tokens per session scan A e47b95973b28
food-research is a skill published in the GitHub repository PangenomeAI/academic-skills-food-nutrition (38 stars, last pushed 1mo ago), licensed MIT. It adds 154 tokens to every session and 4,703 once invoked, about $0.0006 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.
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autofigure
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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.…