Agent skill · Code Review & Quality

agsy-review-process

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.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill agsy-review-process --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-review-process/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

# 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 1. **Single anonymized.** Reviewers know the authors; authors do not know reviewers. There is no manuscript anonymization step (unlike a double-anonymous journal). 2. **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 natur

What's inside
Steps it walks through
  1. When to trigger
  2. How AgSy review works
  3. What systems reviewers weigh
  4. Shape the paper to pass
  5. Desk-screen gate (what trips the early decision)
  6. Referee pushback → the AgSy-specific fix
  7. Anti-patterns
  8. Review-risk pass for Agricultural Systems
  9. Output format
  10. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the agsy-review-process skill do?

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.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill agsy-review-process --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