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πŸ¦€ ClawHub

Interview Mock Partner

by @aipoch-ai

Simulates behavioral interview questions for medical professionals.

Versionv1.0.0
Downloads545
TERMINAL
clawhub install interview-mock-partner

πŸ“– About This Skill


name: interview-mock-partner description: Simulates behavioral interview questions for medical professionals. version: 1.0.0 category: Career tags:
  • interview
  • mock
  • behavioral
  • career
  • 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

  • Behavioral questions
  • Response feedback
  • Common scenarios
  • Improvement tips
  • 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

  • [ ] No hardcoded credentials or API keys
  • [ ] No unauthorized file system access (../)
  • [ ] Output does not expose sensitive information
  • [ ] Prompt injection protections in place
  • [ ] Input file paths validated (no ../ traversal)
  • [ ] Output directory restricted to workspace
  • [ ] Script execution in sandboxed environment
  • [ ] Error messages sanitized (no stack traces exposed)
  • [ ] Dependencies audited
  • Prerequisites

    No additional Python packages required.

    Evaluation Criteria

    Success Metrics

  • [ ] Successfully executes main functionality
  • [ ] Output meets quality standards
  • [ ] Handles edge cases gracefully
  • [ ] Performance is acceptable
  • 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 time

    Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
  • - Performance optimization - Additional feature support

    βš™οΈ Configuration

    No additional Python packages required.