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Interview

作者 AGIstack · GitHub ↗ · v3.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install interview
功能描述
Interview preparation system with company research, story building, and mock interview practice. Use when user mentions job interviews, interview prep, behav...
使用说明 (SKILL.md)

Interview

Interview mastery system. Preparation that wins offers.

Critical Privacy & Safety

Data Storage (CRITICAL)

  • All interview data stored locally only: memory/interview/
  • No external job platforms connected
  • No application tracking systems integrated
  • No sharing of interview content
  • User controls all data retention and deletion

Safety Boundaries

  • ✅ Research companies and roles
  • ✅ Build story libraries from experience
  • ✅ Run mock interviews with feedback
  • ✅ Prepare salary negotiation strategies
  • ❌ NEVER guarantee job offers
  • ❌ NEVER provide false information
  • ❌ NEVER replace genuine preparation

Data Structure

Interview data stored locally:

  • memory/interview/research.json - Company research briefs
  • memory/interview/stories.json - Story library
  • memory/interview/practice.json - Mock interview records
  • memory/interview/salary.json - Salary research and strategies
  • memory/interview/feedback.json - Post-interview notes

Core Workflows

Research Company

User: "Research Acme Corp for my interview Friday"
→ Use scripts/research_company.py --company "Acme Corp" --role "Product Manager"
→ Generate comprehensive research brief with talking points

Build Story

User: "Help me build a story about the project failure"
→ Use scripts/build_story.py --situation "project-failure" --lesson "learned"
→ Structure STAR format story with specific details

Mock Interview

User: "Run a mock interview for PM role"
→ Use scripts/mock_interview.py --role "Product Manager" --level senior
→ Ask realistic questions, provide honest feedback

Prepare Salary

User: "How should I handle the salary question?"
→ Use scripts/prep_salary.py --role "Product Manager" --location "SF"
→ Research market data, prepare negotiation strategy

Draft Follow-up

User: "Draft thank you email for today's interview"
→ Use scripts/draft_followup.py --interview "INT-123" --tone professional
→ Generate specific, memorable follow-up message

Module Reference

Scripts Reference

Script Purpose
research_company.py Generate company research brief
build_story.py Build STAR format stories
mock_interview.py Run practice interview
prep_salary.py Prepare salary strategy
draft_followup.py Draft follow-up messages
analyze_role.py Analyze job description
identify_gaps.py Identify experience gaps
log_feedback.py Log post-interview feedback
安全使用建议
This package appears to be a small local interview-prep tool but it is incomplete: only two helper scripts (build_story.py and research_company.py) are included while SKILL.md advertises several other scripts and reference files that are missing. Before installing or using it, consider: 1) it will create and write JSON files in ~/.openclaw/workspace/memory/interview — inspect that folder and the files it creates; 2) the research script only prints a framework (it does not fetch web data), so the skill may not deliver on promised 'comprehensive research' without additional code or data; 3) request the missing scripts/references from the author or review a complete package if you need mock interviews, salary prep, or follow-up drafting; 4) test in a sandbox or isolated environment if you want to ensure no unexpected behavior. The current issues look like an incomplete or mispackaged skill rather than overtly malicious code, but the capability mismatch means you should be cautious.
功能分析
Type: OpenClaw Skill Name: interview Version: 3.0.0 The 'interview' skill bundle is a legitimate tool for interview preparation, including company research and STAR-format story building. The Python scripts (build_story.py, research_company.py) perform basic local file I/O within a designated workspace directory (~/.openclaw/workspace/memory/interview) and contain no network activity, obfuscation, or unauthorized data access.
能力评估
ℹ Purpose & Capability
The name/description (interview prep, company research, story building, mock interviews, salary prep, follow-ups) aligns with the included scripts that build stories and scaffold company research. However the SKILL.md references many additional scripts (mock_interview.py, prep_salary.py, draft_followup.py, analyze_role.py, identify_gaps.py, log_feedback.py) and multiple references/*.md files that are not present in the bundle. That means the skill claims capabilities it does not actually provide.
ℹ Instruction Scope
Runtime instructions and scripts operate entirely locally and only write/read JSON under a designated interview memory directory. There are no network calls, no external endpoints, and no environment variables accessed. Minor inconsistency: SKILL.md states data is stored under memory/interview/, while scripts use an absolute path under ~/.openclaw/workspace/memory/interview. The instructions also reference many missing scripts and reference docs, so following the SKILL.md will lead to missing-file errors for several workflows.
✓ Install Mechanism
No install spec is provided (instruction-only skill with a couple of small Python scripts). Nothing is downloaded or written outside the normal workspace path by an installer.
✓ Credentials
No environment variables, credentials, or external config paths are requested. The scripts only use the user's home directory to store files; this is proportionate for a local interview prep tool.
✓ Persistence & Privilege
The skill does not request always:true, does not modify other skills, and does not require elevated privileges. It writes its own data into a hidden workspace directory under the user's home, which is expected for a local-memory feature.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install interview
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /interview 触发
  4. 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
v3.0.0
Major update: Added company research framework, STAR story building, mock interview system, salary preparation
v2.0.1
Complete rewrite with deeper content
v1.0.0
Initial release
元数据
Slug interview
版本 3.0.0
许可证 MIT-0
累计安装 4
当前安装数 4
历史版本数 3
常见问题

Interview 是什么？

Interview preparation system with company research, story building, and mock interview practice. Use when user mentions job interviews, interview prep, behav... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 494 次。

如何安装 Interview？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install interview」即可一键安装，无需额外配置。

Interview 是免费的吗？

是的，Interview 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Interview 支持哪些平台？

Interview 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？

由 AGIstack（@agistack）开发并维护，当前版本 v3.0.0。

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