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.
SkillScore91Maintained
Automatic
◆Research pack
Last verified 8/15/2026
What it changes
Passed 20 of 22 test cases with the skill, and 18 of 22 without it.
Without skill82%
With skill91%
Checks it passed that the model alone missed
Identifies the journal research data policy as Elsevier Option C.
Advises creating a single master workflow script to regenerate all figures and tables.
States that research data must be deposited in a recognized repository with a permanent DOI.
2 fixed18 passed either way2 still failing0 broke
Pass-rate lift
+9 pp
Tokens
+50%
Agent turns
0%
Response time
-27%
Model gemini-3.6-flashMeasured 8/15/2026v120 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 2
Prompt
Which specific Elsevier research data policy option does Agricultural Systems operate under, and what three actions does this option require from authors? Summarize your answer within the required bracketed report block.
What was checked, without and with the skill
Checked
Without skill
With skill
Identifies the journal research data policy as Elsevier Option C.
Missed
Passed
States that research data must be deposited in a recognized repository with a permanent DOI.
Missed
Passed
case-12 · gemini-3.6-flash · 8/15/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md99 linessingle file
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
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.
Code and models count as data. Deposit run scripts, parameter files, and — where licensing
allows — the model code or a pointer to the exact model version. A black-box model with no access
path weakens the paper.
Data-availability statement. State the availability of data at submission. If data, code, or the
model cannot be shared, explain why (third-party licence, privacy, proprietary model) and how
others could obtain equivalent access.
Model description. Document model version, structure/equations, parameter sources, calibration
vs. evaluation data, and driving inputs. For agent-based models, follow the ODD protocol so the
model can be re-implemented.
When data/code/model cannot be shared (exemption path)