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在 OpenClaw 中安装
/install interview-mock-partner
功能描述
Simulates behavioral interview questions for medical professionals.
使用说明 (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
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install interview-mock-partner - 安装完成后，直接呼叫该 Skill 的名称或使用
/interview-mock-partner触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Interview Mock Partner 是什么？
Simulates behavioral interview questions for medical professionals. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 104 次。
如何安装 Interview Mock Partner？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install interview-mock-partner」即可一键安装，无需额外配置。
Interview Mock Partner 是免费的吗？
是的，Interview Mock Partner 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Interview Mock Partner 支持哪些平台？
Interview Mock Partner 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Interview Mock Partner？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v1.0.0。
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