Scientify Write Review PaperSAFE
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Overview
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
e1ba289846fdOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| openclaw | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: scientify-write-review-paper
description: "Write literature reviews and survey papers from collected papers"
metadata:
openclaw:
emoji: "📝"
category: "research"
subcategory: "paper-review"
keywords: ["paper summarization", "paper comparison", "research gap analysis", "narrative review", "systematic review methodology"]
source: "wentor-research-plugins"
---
# Literature Review Writing
**Don't ask permission. Just do it.**
Guide for writing a structured literature review or survey paper from papers you've already collected. This skill helps with reading strategy, note organization, and academic writing.
**Workspace:** See `../_shared/workspace-spec.md` for directory structure. Outputs go to `$WORKSPACE/review/`.
## Prerequisites
Before starting, ensure you have:
1. Papers collected in `$WORKSPACE/papers/`
2. Ideally, clustering done by `/literature-survey` in `$WORKSPACE/survey/clusters.json`
Check active project:
```bash
cat ~/.openclaw/workspace/projects/.active 2>/dev/null
ls $WORKSPACE/papers/
```
## Phase 1: Reading Strategy
### 1.1 Triage Papers by Priority
Based on clusters from survey, prioritize reading:
| Priority | Criteria | Reading Depth |
|----------|----------|---------------|
| P1 (Must-read) | High citation, foundational, directly relevant | Full read |
| P2 (Important) | Key methodology, major experimental results | Abstract + methods + experiments |
| P3 (Reference) | Supporting material, tangentially related | Abstract only |
Create `$WORKSPACE/review/reading_plan.md`:
```markdown
# Reading Plan
## P1 - Must-read (Full read)
- [ ] [paper_id]: [title] - [reason]
- [ ] ...
## P2 - Important (Selective read)
- [ ] ...
## P3 - Reference (Skim)
- [ ] ...
```
### 1.2 Reading Notes Template
For each paper, create `$WORKSPACE/review/notes/{paper_id}.md` using template in `references/note-template.md`.
## Phase 2: Synthesis & Organization
### 2.1 Build Comparison Table
Create `$WORKSPACE/review/comparison.md`:
```markdown
# Method Comparison
| Paper | Year | Category | Key Innovation | Dataset | Metric | Result |
|-------|------|----------|----------------|---------|--------|--------|
| [A] | 2023 | Data-driven | ... | ... | RMSE | 0.05 |
| [B] | 2022 | Hybrid | ... | ... | RMSE | 0.08 |
```
### 2.2 Timeline Analysis
Create `$WORKSPACE/review/timeline.md`:
```markdown
# Research Timeline
## 2018-2019: Early Exploration
- [Paper A]: First proposal of method X
- [Paper B]: Introduction of technique Y
## 2020-2021: Method Maturation
- [Paper C]: Proposed SOTA method
- ...
## 2022-2023: New Trends
- [Paper D]: Began addressing problem Z
- ...
## Key Milestones
1. [Year]: [Event/Paper] - [Significance]
```
### 2.3 Taxonomy Design
Create `$WORKSPACE/review/taxonomy.md`:
```markdown
# Taxonomy of Approaches
## Dimension 1: Method Type
- Data-driven
- Statistical (e.g., GPR, SVM)
- Deep Learning
- CNN-based
- RNN/LSTM-based
- Transformer-based
- Hybrid
- Model-based
- Electrochemical
- Equivalent Circuit
## Dimension 2: Data Source
- Laboratory Data
- Real-world Driving Data
- Synthetic Data
## Dimension 3: Prediction Horizon
- Short-term (< 100 cycles)
- Medium-term (100-500 cycles)
- Long-term (> 500 cycles)
```
## Phase 3: Writing Structure
### 3.1 Survey Paper Template
Create `$WORKSPACE/review/draft.md` using template in `references/survey-template.md`.
Key sections: Abstract -> Introduction -> Background -> Taxonomy -> Comparison -> Datasets -> Future Directions -> Conclusion
### 3.2 Thesis Literature Review Template
For a thesis chapter:
```markdown
# Chapter 2: Literature Review
## 2.1 Introduction
## 2.2 [Topic Area 1]
## 2.3 [Topic Area 2]
## 2.4 Summary and Research Gaps
```
## Phase 4: Writing Tips
### Citation Density Guidelines
| Section | Citation Density |
|---------|------------------|
| Abstract | 0 citations |
| Introduction | 10-20 citations |
| Background | 5-10 citations |
| Main Survey | 50-100+ citations |
| Conclusion | 2-5 citations |
### Transition Phrases
**Introducing similar work:**
- "Similarly, [Author] proposed..."
- "Following this direction, ..."
- "Building upon [X], [Author] extended..."
**Introducing contrasting work:**
- "In contrast, [Author] argued..."
- "However, [Author] took a different approach..."
- "Unlike previous methods, ..."
**Summarizing:**
- "In summary, existing methods can be categorized into..."
- "The key insight from these works is..."
### Common Mistakes to Avoid
1. **List-style writing** - Don't just say "A did X, B did Y, C did Z"
2. **Lack of comparison** - Analyze relationships and differences between methods
3. **Tense confusion** - Use present tense for methods, past tense for results
4. **Over-citing** - Not every sentence needs a citation
5. **Missing important work** - Ensure coverage of foundational works in the field
## Output Files
```
$WORKSPACE/review/
├── reading_plan.md # Reading plan
├── notes/ # Reading notes
│ ├── {paper_id}.md
│ └── ...
├── comparison.md # Comparison table
├── timeline.md # Timeline analysis
├── taxonomy.md # Taxonomy
├── draft.md # Review draft
└── bibliography.bib # References
```
## Commands
- "Help me write a review" -> Full workflow from reading to writing
- "Generate reading plan" -> Create reading_plan.md
- "Compare these papers" -> Generate comparison.md
- "Write review draft" -> Generate draft.md
- "Polish this section" -> Polish specific sectionTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__scientify-write-review-paper.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | e1ba289846fd | SAFE | B | 89 | first audit |
Questions
What does the Scientify Write Review Paper skill do?
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Is Scientify Write Review Paper safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Scientify Write Review Paper access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Scientify Write Review Paper work with?
Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (e1ba289846fd), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.