Interview Mock Partner
name: interview-mock-partner
by aipoch-ai · published 2026-04-01
$ claw add gh:aipoch-ai/aipoch-ai-interview-mock-partner---
name: interview-mock-partner
description: Simulates behavioral interview questions for medical professionals.
version: 1.0.0
category: Career
tags:
author: AIPOCH
license: MIT
status: Draft
risk_level: Medium
skill_type: Tool/Script
owner: AIPOCH
reviewer: ''
last_updated: '2026-02-06'
---
# Interview Mock Partner
Simulates medical job interview scenarios.
Features
Parameters
| Parameter | Type | Default | Required | Description |
|-----------|------|---------|----------|-------------|
| `--position` | string | - | Yes | Target position title |
| `--experience-level` | string | entry | No | Experience level (entry, mid, senior) |
| `--specialty` | string | - | No | Medical specialty area |
| `--questions` | int | 5 | No | Number of questions to generate |
| `--output`, `-o` | string | stdout | No | Output file path |
Output Format
{
"questions": ["string"],
"sample_answers": ["string"],
"tips": ["string"]
}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 → Expected output
2. **Edge Case**: Invalid input → Graceful error handling
3. **Performance**: Large dataset → Acceptable processing time
Lifecycle Status
- Performance optimization
- Additional feature support
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