Research Paper WriterSAFE
🔬 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: research-paper-writer
description: "Guide for writing formal academic papers following IEEE and ACM standards"
metadata:
openclaw:
emoji: "📝"
category: "writing"
subcategory: "composition"
keywords: ["academic writing", "IEEE format", "ACM format", "paper structure", "manuscript preparation", "citation formatting"]
source: "wentor-research-plugins"
---
# Research Paper Writer — IEEE/ACM Standards Guide
## Overview
This skill guides the creation of formal academic papers for computer science and engineering venues, with a focus on IEEE and ACM formatting standards. It covers manuscript structure, citation practices, figure/table conventions, and submission preparation. Applicable to conference papers (6-10 pages), journal articles (12-20 pages), and workshop papers (4-6 pages).
## Paper Structure
### IEEE Format (Two-Column)
```
Title
Authors (Name, Affiliation, Email)
Abstract (150-250 words)
Index Terms (4-6 keywords)
I. INTRODUCTION
II. RELATED WORK
III. METHODOLOGY / PROPOSED APPROACH
IV. EXPERIMENTAL SETUP
V. RESULTS AND DISCUSSION
VI. CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
```
### ACM Format (Two-Column, CCS Concepts)
```
Title
Authors (Name, Affiliation, Email, ORCID)
Abstract (150-250 words)
CCS Concepts (from ACM Computing Classification System)
Keywords (3-6 terms)
1 INTRODUCTION
2 BACKGROUND AND RELATED WORK
3 APPROACH / METHOD
4 EVALUATION
5 RESULTS
6 DISCUSSION
7 THREATS TO VALIDITY
8 CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
```
## Section Writing Guidelines
### Abstract
Write the abstract last. Follow the 4-sentence pattern:
1. **Context**: One sentence establishing the problem domain
2. **Problem**: One sentence stating the specific gap or challenge
3. **Approach**: One sentence describing your method/contribution
4. **Results**: One sentence summarizing key findings with numbers
```
Example (IEEE style, ~180 words):
"Large language models have demonstrated remarkable capabilities in code
generation, yet their performance degrades significantly on domain-specific
APIs. This paper addresses the challenge of adapting LLMs to specialized
codebases without extensive fine-tuning. We propose RetrievalCoder, a
retrieval-augmented approach that indexes API documentation and retrieves
relevant context at inference time using semantic similarity. Experiments
on three enterprise codebases show that RetrievalCoder improves functional
correctness by 34.2% over the base model and 12.8% over few-shot prompting,
while reducing API hallucination rate from 47% to 8%."
```
### Introduction (1.5-2 pages)
Structure as an inverted triangle:
1. **Broad context** (1-2 paragraphs): Establish the research area
2. **Specific problem** (1 paragraph): Narrow to your exact problem
3. **Limitations of existing work** (1 paragraph): Why current solutions fall short
4. **Your contribution** (1 paragraph): What you do differently
5. **Contribution list** (bulleted): 3-4 concrete contributions
6. **Paper organization** (1 sentence): "The remainder of this paper is organized as..."
### Related Work (1-1.5 pages)
Organize by **theme**, not chronologically:
```markdown
## 2. Related Work
### 2.1 Retrieval-Augmented Generation
[Discuss RAG papers, position your work relative to them]
### 2.2 Code Generation with LLMs
[Discuss code LLM papers, explain what's different about your setting]
### 2.3 Domain-Specific Adaptation
[Discuss fine-tuning vs. prompting approaches]
```
Each paragraph should: (1) summarize the cited work, (2) state its limitation, (3) contrast with your approach.
### Methodology (2-3 pages)
- Start with a **system overview figure** (architecture diagram)
- Use **formal notation** introduced in a "Preliminaries" subsection
- Define each component with its own subsection
- Include **pseudocode** (Algorithm environment) for complex procedures
- Explain design choices with justification
### Experiments (2-3 pages)
Cover these elements systematically:
| Element | What to Include |
|---------|----------------|
| **Research Questions** | RQ1, RQ2, RQ3 — one per aspect you evaluate |
| **Datasets** | Name, size, source, preprocessing, train/test split |
| **Baselines** | Each baseline with citation and brief description |
| **Metrics** | Definition of each metric, why it's appropriate |
| **Implementation** | Hardware, software versions, hyperparameters |
| **Reproducibility** | Code/data availability statement |
### Results Tables
```latex
% IEEE style table
\begin{table}[t]
\caption{Comparison with baselines on CodeBench.}
\label{tab:main_results}
\centering
\begin{tabular}{lcccc}
\toprule
Method & Pass@1 & Pass@5 & API Acc. & Latency \\
\midrule
GPT-4 (zero-shot) & 42.3 & 61.7 & 53.1 & 2.1s \\
GPT-4 (few-shot) & 55.8 & 72.4 & 71.2 & 2.3s \\
\textbf{Ours} & \textbf{68.0} & \textbf{81.2} & \textbf{91.8} & 2.8s \\
\bottomrule
\end{tabular}
\end{table}
```
**Table conventions**:
- Caption above the table (IEEE/ACM standard)
- Bold the best result in each column
- Use `\toprule`, `\midrule`, `\bottomrule` (booktabs) — no vertical lines
- Include statistical significance indicators (†, *, **) with footnotes
### Discussion
Address:
1. **Why does your method work?** — Provide intuition and analysis
2. **When does it fail?** — Failure case analysis builds credibility
3. **Ablation study** — Remove components one at a time
4. **Threats to validity** — Internal, external, construct validity
## Citation Formatting
### IEEE Style
```latex
% Numeric citations in square brackets
As shown by Smith et al. \cite{smith2024}, ...
Several studies \cite{smith2024, jones2023, lee2025} have shown ...
% BibTeX entry
@inproceedings{smith2024,
author = {Smith, John and Doe, Jane},
title = {Paper Title Here},
booktitle = {Proceedings of ICSE 2024},
year = {2024},
pages = {100--110},
doi = {10.1145/1234567.1234568}
}
```
### ACM Style
```latex
% Author-year or numeric depending on template
Trust 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__research-paper-writer.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 Research Paper Writer 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 Research Paper Writer 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 Research Paper Writer access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Research Paper Writer 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.