Agent skill · Data & Analytics

agsy-reproducibility-and-data-policy

Use when preparing the data, code, and model materials for an Agricultural Systems (AgSy) manuscript. AgSy applies Elsevier's research-data policy, which treats software, code, and models as research data — deposit them in a repository and cite/link them, or state why they cannot be shared. Covers model-description standards and exemptions. Prepares the materials; it does not waive requirements.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill agsy-reproducibility-and-data-policy --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Agricultural-Systems-Skills/skills/agsy-reproducibility-and-data-policy/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Reproducibility & Data Policy (agsy-reproducibility-and-data-policy) AgSy is a modelling journal, so reproducibility is not just about data — it is about whether someone else could **re-run or re-implement your model**. Elsevier's research-data policy explicitly counts **software, code, models, algorithms, protocols, and methods** as research data. Build the package as you go so submission and revision do not stall. The 2026-06-20 Guide for Authors refresh says Agricultural Systems applies **Option C**: deposit research data, cite and link it, or state why sharing is not possible. ## When to trigger - Building the data + code + model materials for submission - Writing the data-availability statement - Data, code, or the model cannot be fully shared (licence, privacy, proprietary model) and you need the exemption path - Preparing model documentation so reviewers can assess reproducibility ## What AgSy / Elsevier expects 1. **Deposit research data in a repository.** Use a recognized repository (Mendeley Data, Zenodo, OSF, or a domain repository), **cite and link** the dataset in the article. Not a personal website. 2. **Code and models count as data.** Deposit run scripts, paramete

What's inside
Steps it walks through
  1. When to trigger
  2. What AgSy / Elsevier expects
  3. When data/code/model cannot be shared (exemption path)
  4. Build-as-you-go checklist
  5. Anti-patterns
  6. Worked micro-example (illustrative)
  7. Referee pushback → the AgSy-specific fix
  8. Calibration anchors
  9. Output format
  10. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the agsy-reproducibility-and-data-policy skill do?

Use when preparing the data, code, and model materials for an Agricultural Systems (AgSy) manuscript. AgSy applies Elsevier's research-data policy, which treats software, code, and models as research data — deposit them in a repository and cite/link them, or state why they cannot be shared. Covers model-description standards and exemptions. Prepares the materials; it does not waive requirements.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill agsy-reproducibility-and-data-policy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going