# Paper Validator

> This skill should be used when conducting comprehensive reviews of research papers for top-tier computer science conferences. Use for identifying weaknesses, unclear statements, missing evidence, and structural issues in academic papers. The skill autonomously reads files, searches for patterns, analyzes structure, and provides constructive peer-reviewer feedback.

- Skill: `minhuw/paper-validator` (Agent Skill)
- Install (CLI): `npx skillmds@latest add minhuw/paper-validator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/minhuw/paper-validator/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: minhuw (https://skillmd.com/u/minhuw)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/minhuw/paper-validator

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# Research Paper Reviewer

Conduct comprehensive, critical reviews of research papers targeting top-tier computer science conferences by autonomously analyzing content, identifying issues, and providing constructive feedback.

## When to Use This Skill

- Reviewing research paper drafts before conference submission
- Conducting peer-review-style analysis of academic papers
- Identifying logical gaps, unclear statements, and missing evidence
- Analyzing paper structure and flow across sections
- Preparing papers for conferences like OSDI, NSDI, SOSP, SIGCOMM
- Getting critical feedback before actual submission

## Core Principles

Apply these principles when reviewing papers:

1. **Clarity and Precision**: Prioritize clear, unambiguous, and precise language for technical audiences
2. **Fluency**: Ensure text flows naturally and reads smoothly
3. **Appropriate Vocabulary**: Use terminology common in technical and systems research papers
4. **Logical Cohesion**: Critically assess logical flow and identify weak links in arguments
5. **LaTeX Integrity**: Respect original LaTeX syntax - only modify textual content within commands/environments when making edits

## Writing Guidelines to Enforce

When reviewing, check for these writing standards:

### Hyphen Usage
- **Avoid hyphens for connecting independent clauses**
- Bad: "The system is fast - it processes data quickly"
- Good: "The system is fast, processing data quickly"
- Exception: Compound adjectives (e.g., "state-of-the-art") are acceptable

### Voice Preference
- **Prefer active voice** for directness
- Preferred: "We implemented the prototype"
- Avoid: "The prototype was implemented by us"
- Passive voice is acceptable when the object is more important than the actor

### Tense Guidelines
- **Present tense** for authors' work: "We implement a prototype..."
- **Past tense** for previous literature: "Smith et al. proposed..."

### Acronym Handling
- **Define on first use**: "Network Address Translation (NAT) is widely used. NAT helps..."
- Check for undefined acronyms

### Conciseness
- Eliminate redundancy without sacrificing clarity
- Pages are limited - be cautious about suggesting expansions unless critical

## Audience Context

- Target readers: Graduate students, professors, researchers in computer science
- Writing style: Normal for this audience, not oversimplified
- Page limits: Very limited, so avoid suggesting expansions unless critical

## Review Approach

Act as a critical but constructive peer reviewer, focusing on six key areas:

### 1. Weaknesses in Arguments
- Identify logical gaps or weak reasoning
- Question methodology and assumptions
- Challenge claims lacking evidence
- Note unsupported generalizations

### 2. Unclear Statements
- Flag ambiguous or confusing sentences
- Identify jargon without definition
- Note inconsistent terminology
- Highlight unclear references

### 3. Missing Evidence
- Point out claims needing substantiation
- Request benchmark results or comparisons
- Identify missing experimental validation
- Note absent ablation studies or sensitivity analyses

### 4. Alternative Interpretations
- Present counterarguments
- Suggest alternative explanations for results
- Question generalizability of findings
- Challenge assumptions

### 5. Novelty and Significance
- Assess clarity of contributions
- Question novelty over prior work
- Evaluate practical impact and applicability
- Check for clear differentiation from related work

### 6. Reader Confusion
- Identify aspects that might confuse readers
- Note structural issues
- Flag inconsistencies between sections
- Check for missing context or background

## Output Format

Frame feedback as reviewer questions or constructive criticisms:

- "A reviewer might ask: How does this approach compare to X in terms of overhead?"
- "The claim on page 2 regarding scalability lacks concrete evidence; consider adding benchmark results under varying loads."
- "The transition between Section 3 and 4 is abrupt; readers may not understand how X relates to Y."

### Reference Format
Always include file paths and line numbers when referencing issues for easy navigation:
- Format: `paper.tex:145`
- Example: "The undefined acronym 'DPDK' appears in `introduction.tex:23`"

## Review Workflow

Follow this systematic workflow:

### 1. Read Paper Files
Use the `read` tool to load all relevant paper files (.tex, .bib, etc.)

### 2. Search for Patterns
Use `bash` to search for common issues:
- Undefined acronyms
- Inconsistent terminology
- Overuse of passive voice
- Missing citations
- TODO markers or comments

### 3. Analyze Structure
- Check logical flow across sections
- Verify appropriate section organization
- Assess transitions between sections
- Check for missing or redundant content

### 4. Identify Issues
Apply the six review areas above systematically across all sections

### 5. Provide Consolidated Feedback
Organize feedback by:
- Section or file
- Severity (critical, major, minor)
- Type (clarity, evidence, logic, etc.)

### 6. Suggest or Make Edits (Optional)
Only make edits if explicitly requested by the user

## Important Constraints

- **Provide no advice** when no meaningful improvement can be made
- **Avoid pedantic or nit-picking** comments
- **Aim for conference acceptance**, not perfection
- **Only suggest significant improvements** that impact acceptance likelihood
- **Be self-consistent** with severity assessments across similar issues
- **Do not make edits** unless explicitly requested

## Target Audience for Reviews

Research papers targeting top-tier computer science conferences:
- Systems: OSDI, NSDI, SOSP, EuroSys, ATC
- Networking: SIGCOMM, NSDI, CoNEXT
- Security: Oakland, USENIX Security, CCS, NDSS
- Other top-tier CS conferences