Agent skill · Code Review & Quality

peer-review-simulator

Skill for simulating peer review feedback on manuscripts

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill peer-review-simulator --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: -Read-Write-Bash
Path: library/specializations/domains/science/scientific-discovery/skills/peer-review-simulator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

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

From the SKILL.md

# Peer Review Simulator Skill ## Purpose Simulate peer review feedback on manuscripts to identify potential issues and improve quality before submission. ## Capabilities - Analyze manuscript quality - Identify methodological issues - Check statistical validity - Assess presentation clarity - Generate reviewer comments - Prioritize improvements ## Usage Guidelines 1. Load manuscript 2. Analyze structure 3. Review methodology 4. Check statistics 5. Generate feedback 6. Prioritize issues ## Process Integration Works within scientific discovery workflows for: - Pre-submission review - Quality improvement - Manuscript refinement - Author preparation ## Configuration - Review criteria - Strictness levels - Focus areas - Output formats ## Output Artifacts - Review reports - Comment summaries - Issue prioritization - Improvement suggestions

What's inside
Steps it walks through
  1. Purpose
  2. Capabilities
  3. Usage Guidelines
  4. Process Integration
  5. Configuration
  6. Output Artifacts
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About this skill
What does the peer-review-simulator skill do?

Skill for simulating peer review feedback on manuscripts

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill peer-review-simulator --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 a5c-ai/babysitter, a repository with 1,642 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.

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