Conflict Of Interest Checker
by @aipoch-ai
Check for co-authorship conflicts between authors and suggested reviewers
clawhub install conflict-of-interest-checkerπ About This Skill
name: conflict-of-interest-checker description: Check for co-authorship conflicts between authors and suggested reviewers version: 1.0.0 category: Writing tags: [] author: AIPOCH license: MIT status: Draft risk_level: Medium skill_type: Tool/Script owner: AIPOCH reviewer: '' last_updated: '2026-02-06'
Conflict of Interest Checker
Reviewer conflict detection tool.
Use Cases
Parameters
| Parameter | Type | Default | Required | Description |
|-----------|------|---------|----------|-------------|
| --authors, -a | string | - | Yes | Comma-separated author names |
| --reviewers, -r | string | - | Yes | Comma-separated reviewer names |
| --publications, -p | string | - | No | CSV file with publication records |
CSV Format
author,reviewer,paper_id
Smith,Brown,paper1
Smith,Jones,paper2
Usage
# Check with demo data
python scripts/main.py --authors "Smith,Jones,Lee" --reviewers "Brown,Davis,Wilson"Check with publication records
python scripts/main.py --authors "Smith,Jones" --reviewers "Brown,Davis" --publications pubs.csv
Returns
Example Output
β Found 2 potential conflict(s):1. COAUTHORSHIP CONFLICT
Reviewer: Brown
Author: Smith
Shared papers: paper1
2. COAUTHORSHIP CONFLICT
Reviewer: Wilson
Author: Smith
Shared papers: paper2
Risk Assessment
| Risk Indicator | Assessment | Level | |----------------|------------|-------| | Code Execution | Python/R scripts executed locally | Medium | | Network Access | No external API calls | Low | | File System Access | Read input files, write output files | Medium | | Instruction Tampering | Standard prompt guidelines | Low | | Data Exposure | Output files saved to workspace | Low |
Security Checklist
Prerequisites
No additional Python packages required.
Evaluation Criteria
Success Metrics
Test Cases
1. Basic Functionality: Standard input β Expected output 2. Edge Case: Invalid input β Graceful error handling 3. Performance: Large dataset β Acceptable processing timeLifecycle Status
β‘ When to Use
π‘ Examples
# Check with demo data
python scripts/main.py --authors "Smith,Jones,Lee" --reviewers "Brown,Davis,Wilson"Check with publication records
python scripts/main.py --authors "Smith,Jones" --reviewers "Brown,Davis" --publications pubs.csv
βοΈ Configuration
No additional Python packages required.