british-food-journal

british-food-journal is a skill for Claude Code from PangenomeAI/academic-skills-food-nutrition. It costs 101 tokens per session (775 once invoked), scanned A, original, MIT.

A manuscript guide for the British Food Journal, covering Emerald’s structured abstract, article classifications, Harvard-style references, and paper structure. A structured abstract uses fixed headings such as purpose, methods, findings, and limitations.

In plain words
What is it for?
Use it to prepare or check research, review, conceptual, case-study, or viewpoint papers about food supply chains, consumers, policy, quality, sustainability, and management.
Why use it?
It helps authors meet Emerald’s required abstract and classification format before submission.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the academic-skills-food-nutrition plugin — 41 skills shipped together

Good fit Use it to prepare or check research, review, conceptual, case-study, or viewpoint papers about food supply chains, consumers, policy, quality, sustainability, and management.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pangenomeai/academic-skills-food-nutrition/british-food-journal
Install

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.

Any agent
npx skills add PangenomeAI/academic-skills-food-nutrition --skill british-food-journal
Clone the repo
git clone --depth 1 https://github.com/PangenomeAI/academic-skills-food-nutrition

Made for: Claude Code.

Or install academic-skills-food-nutrition, the plugin that ships this one along with the rest of its 41 skills.

Wrote 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.

agentmods badge for british-food-journal

README.md
[![agentmods](https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/british-food-journal/github.svg)](https://agentmods.dev/skills/pangenomeai/academic-skills-food-nutrition/british-food-journal)
Your own site
<a href="https://agentmods.dev/skills/pangenomeai/academic-skills-food-nutrition/british-food-journal"><img src="https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/british-food-journal/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.

agentmods 80×15 button for british-food-journal

Your own site · 80×15
<a href="https://agentmods.dev/skills/pangenomeai/academic-skills-food-nutrition/british-food-journal"><img src="https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/british-food-journal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 775 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.00775
Opus 5 $0.00051 $0.00387
Sonnet 5 $0.00020 $0.00155
Haiku 4.5 $0.00010 $0.00077

Measured 8d ago against content hash 921cc52823bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

british-food-journal 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 8d 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.

journals/british-food-journal/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

British Food Journal (Emerald) — Author Guideline Skill

Publisher: Emerald · ISSN: 0007-070X · Source: Author guidelines · Verified: 2026-07 (confirm at source).

Aims & scope

Multidisciplinary research on food across the supply chain: consumer behavior, marketing, policy, quality/safety, sustainability, and food management. Strong social-science and management orientation alongside food science.

Article types

Research paper; Review; Conceptual paper; Case study; Viewpoint; General review. Select the correct article classification at submission (Emerald requirement).

Manuscript structure (Emerald)

Title → Structured abstract → Keywords → Article classification → Introduction → Literature review → Methodology → Findings → Discussion → Conclusion → References. Word count typically 6,000–8,000 words including references (confirm).

  • Structured abstract (required): headings — Purpose, Design/methodology/approach, Findings, Research limitations/implications, Practical implications, Originality/value; ≤250 words.
  • Keywords: up to 6–8.
  • Article classification (required): one of Emerald's categories (Research paper, Viewpoint, etc.).

Reference style

Harvard (author–date), Emerald style. In-text (Author, 2023); alphabetical list.

Example (Emerald Harvard):

Author, A.B. and Author, C.D. (2023), "Title of the article", British Food Journal, Vol. 125 No. 4, pp. 1234-1250. https://doi.org/10.1108/BFJ-xx-2023-xxxx

Figures & tables

Figures supplied as separate editable files ≥300 dpi; each figure/table cited in text and numbered; provide in the format Emerald requests (often EPS/PDF/TIFF, plus editable originals). Keep tables editable, not images.

Submission checklist

  • Structured abstract with all Emerald headings (≤250 words) · [ ] Article classification selected
  • 6–8 keywords · [ ] Emerald Harvard references
  • Figures as separate editable files ≥300 dpi · [ ] Declarations (funding, conflicts) · [ ] Cover letter

Read the full file on GitHub · 53 lines

Changes

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.

  1. 8d ago First seen · 53 lines · 101 tokens per session scan A 921cc52823bf

Subscribe to this mod's changes

british-food-journal is a skill published in the GitHub repository PangenomeAI/academic-skills-food-nutrition (31 stars, last pushed 12d ago), licensed MIT. It adds 101 tokens to every session and 775 once invoked, about $0.0005 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 2026-09-04.

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