Skip to content
Back to skills

Bio Manuscript Refine

ASecurity

Refinement loop for the bio-manuscript pipeline: three-reviewer iterative optimization (editor, computational, biological). Use when reviewing a manuscript plan, producing structured review comments, revising round by round, and tracking score and revision history toward a target journal.

  • 8 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added September 12, 2026
datagobash

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 12, 2026

npx -y skills add stanfish06/skillquarium --skill bio-manuscript-refine --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Bio Manuscript Refine?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Bio Manuscript Refine
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/stanfish06-bio-manuscript-refine/badge)](https://www.skillsdirectory.com/skills/stanfish06-bio-manuscript-refine)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: bio-manuscript-refine
description: "Refinement loop for the bio-manuscript pipeline: three-reviewer iterative optimization (editor, computational, biological). Use when reviewing a manuscript plan, producing structured review comments, revising round by round, and tracking score and revision history toward a target journal."
---

# bio-manuscript-refine

**Refine loop: three-reviewer iterative refinement (三审稿人迭代优化)**

Run a reviewer-style refinement loop over the manuscript plan using three perspectives: editor, computational reviewer, and biological reviewer.

## Purpose

1. Review the current manuscript plan
2. Produce structured review comments
3. Revise the proposal round by round
4. Track score history and revision history

## Input Format

```text
manuscript_plan: [full manuscript plan generated in previous steps]
target_journal: [target journal, default nat-communications]
num_rounds: [number of refine rounds, default 2]
```

## Workflow

### Round 0

- save the initial proposal snapshot

### Each review round

Produce three reviews:

1. **Editor**
   - novelty
   - feasibility
   - journal fit
2. **Computational reviewer**
   - method design
   - technical rigor
   - benchmark quality
   - implementation feasibility
3. **Biological reviewer**
   - biological significance
   - analysis design
   - dataset suitability

Then generate:

- a review summary
- a revision response
- a refined proposal

## Output Format

```markdown
# Refine Report

## Round 0
- initial proposal snapshot

## Round 1 Reviews
### Editor
- scores:
- key concerns:

### Computational Reviewer
- scores:
- key concerns:

### Biological Reviewer
- scores:
- key concerns:

## Round 1 Revision
- addressed concerns:
- remaining risks:

## Score History
| Round | Editor | Computational | Biological | Overall |
|-------|--------|---------------|------------|---------|
| 0 | ... | ... | ... | ... |

## Final Proposal Status
- ready for next phase / needs more revision
```

## Reviewer Criteria

### Editor

- novelty
- feasibility
- journal fit

### Computational reviewer

- algorithmic soundness
- method novelty
- benchmark rigor
- code feasibility

### Biological reviewer

- biological significance
- analysis relevance
- dataset realism

## Usage

```bash
/bio-manuscript-refine "manuscript_plan: [path to proposal] | target_journal: nat-communications | num_rounds: 2"
```

## Notes

1. Revision should update the proposal itself, not only append comments.
2. Keep a full history of each round.
3. Scores are guidance, not absolute truth; comments matter more than raw numbers.

Files in this skill

  • SKILL.md2.6 KB
  • agents/openai.yaml178 B

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.