shzhao27208/aut_sci_write/sci-review

Claude Code and agent skill by shzhao27208/aut_sci_write

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Specialized workflows for drafting, refining, and responding to academic literature reviews and peer review feedback. Use this skill for literature review outlines, research-gap synthesis, reviewer rebuttals, response letters, and academic writing tone repair.

Install

npx vskill@latest install shzhao27208/aut_sci_write/sci-review

SKILL.md

Sci-Review

Use this skill to produce structured literature-review writing and professional reviewer responses.

Literature Review Structure

Use this four-part structure unless the user requests a different journal format:

  1. Introduction: background, problem definition, gap identification, and contribution.
  2. Methodology: taxonomy, method classes, comparison dimensions, and performance evidence.
  3. Challenges: phenomenon, cause, and direction. Make the problem visible before proposing a route forward.
  4. Conclusion: distilled insights and a future roadmap.

Prefer specific evidence over broad claims. Replace vague phrases such as "significantly better" with measured comparisons when data is available.

Rebuttal Structure

For each reviewer point, use:

  1. Reviewer concern: restate the concern accurately and neutrally.
  2. Response: answer with evidence, clarification, or a limitation acknowledgement.
  3. Revision plan: state the exact manuscript change, including section, table, figure, appendix, or experiment when possible.

Avoid adversarial phrasing such as "reviewer misunderstood" or "the reviewer is wrong". Use constructive language such as "we will clarify this point in the manuscript" or "we agree that additional evidence would improve the presentation".

Validation

The skill includes a lightweight validator. Run from the skills/sci-review/ directory:

bash
# From the skills/sci-review/ directory:
python scripts/validate_review_output.py --case literature-review --output output.md
python scripts/validate_review_output.py --case rebuttal --output output.md
python scripts/validate_review_output.py --list-golden

The validator checks required section names and banned phrases. Golden cases live in tests/golden_cases.json; they define expected output features rather than exact wording.

Best Practices

  • Read the source literature, reviewer comments, or draft before rewriting.
  • Preserve technical nuance. Do not invent experiments, results, baselines, or citations.
  • Mark uncertainty explicitly when source evidence is missing.
  • Keep tone professional, direct, and evidence-driven.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
126
Repository forks
20
7-day trend score
24

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/shzhao27208/aut_sci_write/sci-review/badge)](https://verified-skill.com/skills/shzhao27208/aut_sci_write/sci-review)

Something wrong with this skill or its page? Tell us.