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// Skill profile

Interview Mock Partner

name: interview-mock-partner

by aipoch-ai · published 2026-04-01

数据处理API集成
Total installs
0
Stars
★ 0
Last updated
2026-04
// Install command
$ claw add gh:aipoch-ai/aipoch-ai-interview-mock-partner
View on GitHub
// Full documentation

---

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 → Expected output

    2. **Edge Case**: Invalid input → Graceful error handling

    3. **Performance**: Large dataset → Acceptable processing time

    Lifecycle Status

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

    - Additional feature support

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