A skill your agent uses when targeting Food Chemistry or deciding whether a food-chemistry manuscript fits this venue.

MITAuto-check passedResearch & Science

Install Food Chemistry

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill food-chemistry -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills food-chemistry --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/food-chemistry .claude/skills/food-chemistry && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
food-chemistry
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
790 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting Food Chemistry or deciding whether a food-chemistry manuscript fits this venue.

  • Targeting Food Chemistry
  • SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Deciding whether a food-chemistry manuscript fits this venue

What it does

Food Chemistry is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Food Chemistry or deciding whether a food-chemistry manuscript fits this venue. Encodes the journal's fit, the analytical-rigor and chemical-mechanism bar, method-validation expectations, house style, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Targeting Food Chemistry
  • Deciding whether a food-chemistry manuscript fits this venue

Example prompts

  • “/food-chemistry”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Food Chemistry loads about 1.9k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 790 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 790 words, ~1,929 tokens.

Download SKILL.mdSave it as .claude/skills/food-chemistry/SKILL.md (or your agent's skills folder).
name
food-chemistry
description
Use when targeting Food Chemistry or deciding whether a food-chemistry manuscript fits this venue. Encodes the journal's fit, the analytical-rigor and chemical-mechanism bar, method-validation expectations, house style, official-submission re-check, and desk-reject heuristics.

Food Chemistry (food-chemistry)

Journal positioning

Food Chemistry is the Elsevier journal for the chemistry and biochemistry of foods — composition, bioactive and functional compounds, food analysis and authentication, the chemistry of processing and storage, and food safety and contaminants. Its defining expectation is rigorous analytical chemistry that yields chemical insight: a quantified compositional or mechanistic result obtained with properly validated methods, adequate controls, and defensible quantification. A descriptive screening study with poorly validated methods, no quantification, or no chemical-mechanism interpretation is a weak fit, however topical the food matrix. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current author guidelines. Before submitting, re-check the live Food Chemistry submission guidance.

When to trigger

  • The author names Food Chemistry and wants a fit/framing check for a food-chemistry paper.
  • A compositional, bioactive-compound, or food-analysis result must be re-framed around its chemical mechanism or analytical advance rather than a single product survey.
  • The author is choosing between Food Chemistry, a food-technology venue, and an analytical-chemistry journal.
  • The author needs Food Chemistry's method-validation bar and its desk-reject heuristics.

Scope & topic fit

  • Food composition and structure: macro/micronutrients, lipids, proteins, carbohydrates, phytochemicals, and their changes during processing and storage.
  • Bioactive and functional compounds: identification, quantification, bioaccessibility, and structure–activity relationships, with chemistry (not only an in-vitro assay) at the core.
  • Food analysis and authentication: chromatography, mass spectrometry, spectroscopy, metabolomics/foodomics, and chemometric or fingerprinting methods for origin/adulteration.
  • Chemistry of processing and reactions: Maillard, oxidation, enzymatic and fermentation chemistry, and the formation or loss of flavor, color, and nutrient compounds.
  • Food safety chemistry: contaminants, residues, mycotoxins, process-induced toxicants, and their detection, fate, and mitigation with quantitative chemical evidence.
  • Flavor, color, and sensory-linked chemistry when tied to identified compounds and concentrations.

Method & evidence bar

  • Analytical methods must be validated and reported: linearity, LOD/LOQ, recovery, precision, and matrix effects appropriate to the technique; instrument conditions stated.
  • Quantification is expected — peak areas, "relative abundance," or untargeted detection without calibration and concentrations rarely suffices for a compositional claim.
  • Compound identification must meet accepted confidence criteria (e.g., authentic standards, accurate mass, MS/MS fragmentation, retention behavior), not name-by-library-hit alone.
  • Adequate controls and replication: blanks, matrix-matched standards, biological/analytical replicates, and statistics suited to the design (not pseudoreplicated single batches).
  • Chemometric and authentication models need validation on independent samples and protection against overfitting; report cross-validation and class sizes.
  • Mechanistic or structure–activity claims must be supported by direct chemical evidence, not inferred solely from a correlation between a crude extract and a bioassay.

Structure & house style

  • Standard research-article format (introduction, materials and methods, results and discussion, conclusion); re-check current article types and length on the live guide.
  • Introduction must state the chemical/analytical gap and why this food matrix or compound class matters chemically, not merely that the product is popular or healthy.
  • Methods must be reproducible: reagents, instrument parameters, calibration, and validation data sufficient for another lab to repeat the analysis.
  • Figures carry the analytical evidence — annotated chromatograms/spectra, calibration and recovery data, and dose/structure relationships; raw identification support belongs in SI.
  • Graphical abstract and highlights are expected; re-check current specifications on the live guide.
Show full SKILL.md (280 more words)Show less

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the Elsevier anchors, then cite the current Food Chemistry page you checked.
  • Search the live site for "Food Chemistry guide for authors" and follow the current Elsevier version.
  • Re-check article types (research, review, short communication), length, and the graphical-abstract/highlights requirements.
  • Confirm method-validation reporting expectations and any compound-identification confidence criteria.
  • Re-check data-availability, raw-spectra/chromatogram deposition, and supplementary-data policy.
  • Re-check competing-interests, funding, author-contribution, and AI-use disclosure, and open-access terms.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • Analytical methods are validated (linearity, LOD/LOQ, recovery, precision) and the data are reported.
  • Quantitative concentrations — not just detection or relative abundance — support the compositional claim.
  • Compound identifications meet accepted confidence criteria, not library hits alone.
  • Controls, blanks, and genuine replication are present, with statistics matched to the design.
  • Any mechanism or structure–activity claim rests on direct chemical evidence.
  • Highlights, graphical abstract, and reproducible methods are prepared per the live guide.

Common desk-reject triggers

  • Descriptive screening of a product with no quantification and no validated method.
  • Compound identifications by library match alone, without standards or MS/MS confirmation.
  • Bioactivity claims from a crude extract and one assay, with no chemistry or dose response.
  • Untargeted "fingerprinting" or chemometric models with no independent validation (overfit).
  • Process or composition study run on a single batch presented as a general result.
  • Scope mismatch: a food-engineering, sensory-only, or formulation paper with no food-chemistry advance.

Re-routing decision

  • Review/critical synthesis rather than primary data → trends-in-food-science-and-technology.
  • Food-systems significance beyond the chemistry → nature-food.
  • Contaminant fate/transport and environmental impact emphasis → environmental-pollution.
  • Exposure-to-health, dietary-contaminant epidemiology framing → environment-international.
  • Pure analytical-method development for general matrices → an analytical-chemistry venue (e.g., analytical-chemistry).

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Food Chemistry
[Topic tags] <2–3 closest food-chemistry topics>
[Chemical advance] <the compositional/mechanistic/analytical insight, not just the matrix>
[Method/evidence] <does validation + quantification + identification clear Food Chemistry's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / highlights / graphical abstract / data policy / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Agriculture-Environment-Journal-Skills/skills/food-chemistry of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Food Chemistry next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Food Chemistry compared with similar skills
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GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Questions about Food Chemistry

What does Food Chemistry do?

A skill your agent uses when targeting Food Chemistry or deciding whether a food-chemistry manuscript fits this venue. Food Chemistry is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Food Chemistry or deciding whether a food-chemistry manuscript fits this venue.

When should I use Food Chemistry?

Food Chemistry fits situations like: targeting Food Chemistry; deciding whether a food-chemistry manuscript fits this venue.

How do I install Food Chemistry in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill food-chemistry -a claude-code`. Or copy the skill folder (Agriculture-Environment-Journal-Skills/skills/food-chemistry in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/food-chemistry in your project. Claude Code loads it when a task matches its description.

How do I install Food Chemistry in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill food-chemistry -a codex`. Or copy the skill folder (Agriculture-Environment-Journal-Skills/skills/food-chemistry in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/food-chemistry in your project. Codex loads it when a task matches its description.

Can I use Food Chemistry in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill food-chemistry -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/food-chemistry, .gemini/skills/food-chemistry, .github/skills/food-chemistry and .opencode/skills/food-chemistry in your project.

What does Food Chemistry need to run?

SKILL.md names no scripts, command-line tools or credentials: Food Chemistry is instructions for the agent only.

Does Food Chemistry access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Food Chemistry safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Food Chemistry use?

Food Chemistry is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Food Chemistry use?

About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Food Chemistry?

Skills that share tags, products or a category with Food Chemistry: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Food Chemistry?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.