Use to understand how Agricultural Systems (AgSy) evaluates a manuscript — single-anonymized peer review with a minimum of two reviewers and an editor decision, desk screening for fit and systems content, what reviewers weigh, and the rapid-review track for Perspectives. Sets expectations and shapes the paper to survive review; it does not contact editors.
SkillScore100Maintained
Automatic
◆Research pack
Last verified 8/15/2026
What it changes
Passed 22 of 22 test cases with the skill, and 19 of 22 without it.
Without skill86%
With skill100%
Checks it passed that the model alone missed
The response advises making system interactions and trade-offs explicit up front.
The response checks whether model calibration and independent validation are separately reported.
The response mentions compliance with the Elsevier research-data policy for shareable data and code.
3 fixed19 passed either way0 still failing0 broke
Pass-rate lift
+14 pp
Tokens
+56%
Agent turns
0%
Response time
-15%
Model gemini-3.6-flashMeasured 8/15/2026v122 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 3
Prompt
What requirement does Agricultural Systems enforce regarding model code and underlying dataset availability upon review?
What was checked, without and with the skill
Checked
Without skill
With skill
The response mentions compliance with the Elsevier research-data policy for shareable data and code.
Missed
Passed
case-14 · 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.md97 linessingle file
Review Process (agsy-review-process)
Knowing how AgSy screens and decides lets you pre-empt the failure modes before submitting. AgSy is
single anonymized (reviewers see the authors), screens for fit and genuine systems content, and
sends suitable papers to a minimum of two expert reviewers; the editor makes the decision.
Source-map process facts were refreshed from ScienceDirect on 2026-06-20; live-check them before a
real upload because review wording and submission links can change.
When to trigger
Before submitting, to stress-test against desk-rejection and reviewer concerns
Deciding whether a piece fits the Perspective (rapid-review) track
Interpreting a decision letter and setting expectations
Understanding what systems reviewers are likely to weigh
How AgSy review works
Single anonymized. Reviewers know the authors; authors do not know reviewers. There is no
manuscript anonymization step (unlike a double-anonymous journal).
Editor screening / desk decision. Editors screen for scope and fit first — is this a
systems paper (interactions, hierarchical levels, modelling, trade-offs), and does it have the
substantive natural-science + interaction content AgSy requires? Single-factor field trials and
black-box model demos are common desk rejections.
External review. Suitable submissions go to a minimum of two expert reviewers for
independent assessment of scientific quality.
Decision. Accept / minor or major revision / reject — taken by the journal's editors.
Perspective rapid review.Perspective articles undergo a rapid review process for a short
submission-to-publication time; authors should consult editors before submitting a Perspective where
the Guide requires it.
What systems reviewers weigh
Is there a real systems question (interactions, trade-offs), or a dressed-up single-factor study?
Is the model described, justified, and calibrated, with an independent evaluation?
Are sensitivity and uncertainty characterized?
Are trade-offs surfaced and the decision relevance clear?
Are data, code, and the model shareable (Elsevier research-data policy)?
Use when framing the system and describing the model for an Agricultural Systems (AgSy) manuscript — defining system boundaries, components, hierarchical levels, and feedbacks, then choosing, describing, and calibrating the model (process/simulation, whole-farm, bio-economic, agent-based, or integrated assessment). This is the distinctive core of an AgSy paper. Structures the model and system; it does not run code for you.