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Install in OpenClaw
/install interview-mock-partner
Description
Simulates behavioral interview questions for medical professionals.
README (SKILL.md)
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
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- 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
Usage Guidance
The code is simple and doesn't request credentials or network access, so direct maliciousness is not evident — but the SKILL.md advertises CLI parameters, file I/O, and security checks that the provided script does not implement. Before installing or running: (1) ask the author to reconcile docs and code or provide an updated script that implements the advertised features; (2) run the script in an isolated/sandboxed environment to confirm actual behavior; (3) do not assume input validation or safe file handling exists just because the README lists them; (4) if you need the CLI/file features, request a version that accepts and validates parameters and documents exact file paths it will read/write. Because the mismatch could be sloppy engineering or an attempt to mislead, treat it with caution.
Capability Analysis
Type: OpenClaw Skill
Name: interview-mock-partner
Version: 1.0.0
The skill bundle is a straightforward interview simulation tool for medical professionals. The Python script (scripts/main.py) contains simple, hardcoded logic to return interview questions and tips, and the documentation (SKILL.md) describes standard parameters without any malicious instructions or prompt injection attempts.
Capability Assessment
Purpose & Capability
Name/description match the included code's observable behavior: a simple Python class that returns canned behavioral interview questions for medical roles. However, the SKILL.md advertises additional capabilities (CLI parameters such as --position, --questions, --output and input validation) that are not implemented in scripts/main.py.
Instruction Scope
SKILL.md instructs parameterized invocation, file output, and mentions filesystem access and sandboxing expectations. The actual script simply prints a static JSON for a fixed position and does not parse CLI args, read input files, or write output files — this discrepancy gives the agent broad, unspecified behavior in the docs that isn't reflected in the code.
Install Mechanism
No install spec and no external packages required. The skill is instruction-only with one small Python script; nothing is downloaded or written to disk during installation by a package installer.
Credentials
No environment variables, credentials, or config paths are requested. The declared requirements are proportionate to the stated purpose.
Persistence & Privilege
Skill does not request always:true or other elevated persistence. It doesn't modify other skills or agent settings and has no autonomous privilege beyond the platform defaults.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install interview-mock-partner - After installation, invoke the skill by name or use
/interview-mock-partner - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of interview-mock-partner.
- Simulates behavioral medical job interview scenarios.
- Generates position-specific interview questions and sample answers.
- Provides personalized feedback and improvement tips.
- Supports configurable experience level, specialty, and question count.
- Output in structured JSON format for easy integration.
Metadata
Frequently Asked Questions
What is Interview Mock Partner?
Simulates behavioral interview questions for medical professionals. It is an AI Agent Skill for Claude Code / OpenClaw, with 104 downloads so far.
How do I install Interview Mock Partner?
Run "/install interview-mock-partner" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Interview Mock Partner free?
Yes, Interview Mock Partner is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Interview Mock Partner support?
Interview Mock Partner is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Interview Mock Partner?
It is built and maintained by AIpoch (@aipoch-ai); the current version is v1.0.0.
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