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Agent Skill · 开发

ai-interview(艾访谈)

ai-interview 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

ai-interview 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 2,975。

总安装 13,430周安装 571GitHub Stars 公开资料未说明下载 4,705核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.2

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ai-interview(艾访谈)
来源仓库:https://github.com/zhangdong/ai-interview
安装命令:
openclaw skills install ai-interview
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install ai-interview

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

基于 Fuku.ai 免费服务提供 AI 驱动的模拟面试体验。适合求职者练习技术面或行为面试问题并获得反馈。支持自定义岗位方向与难度级别调整题目风格。ai-interview 属于开发类 Skill,可作为该场景下的辅助能力补充。当前依赖第三方公共接口,可能存在服务变动风险。建议结合真实面试经验综合评估自身准备情况。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install ai-interview;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ai-interview 怎么安装?

在终端执行 openclaw skills install ai-interview。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ai-interview 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ai-interview 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

ai-interview 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ai-interview 用的人多吗?

公开数据是累计安装 13,430 次,近一周安装 571 次,下载 4,705 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ai-interview 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
ai-interview

艾访谈 · 本页

13,430—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
ai-interview
description
Run AI-powered mock interviews using Fuku.ai's free public service.

AI Interview Skill

Turn a folder full of resumes into structured AI interview sessions. This skill uses Fuku.ai's free public API to generate AI interview reports.

🎯 Purpose

This is a Fuku.ai-specific skill that leverages their free, anonymous interview service. No user account, API key, or login required.

🔑 Authentication

This skill uses shared anonymous credentials provided by Fuku.ai for public access:

ItemValue
Upload Endpointhttps://hapi.fuku.ai/hr/rc/anon/file/upload
Job APIhttps://hapi.fuku.ai/hr/rc/anon/job/invite/ai_interview
X-NUMBER Headerjob-Z4nV8cQ1LmT7XpR2bH9sJdK6WyEaF0
uid Query Param1873977344885133312

These are fixed, shared credentials for Fuku.ai's free tier. All users of this skill use the same endpoints and identifiers. This is intentional—the service is designed for anonymous, no-login usage.

Design Notes

  • No user credentials required: The service is free and public
  • No environment variables: Endpoints and credentials are hardcoded by design
  • Not self-hostable: This skill only works with Fuku.ai's hosted service
  • Privacy consideration: Resume files are sent to Fuku.ai's servers. Review their privacy policy before uploading sensitive documents.

✅ What It Does

  1. Collects three mandatory inputs: job title, company name, report email.
  2. Scans a resume folder for PDF/DOC/DOCX files (up to 100).
  3. Uploads each resume to Fuku.ai's public endpoint and captures the returned file URLs.
  4. Creates an AI interview job via Fuku.ai's API using the shared anonymous credentials.
  5. Logs minimal job metadata locally and confirms the report email destination.

🧭 Workflow

  1. Install & Prepare

- cd skills/ai-interview && npm install (installs axios + form-data). - Subsequent runs only need node run.js ....

  1. Gather Inputs

- Ask the user for: job title, company, email for reports (validate email format). - Ask for the resume folder path inside the workspace. Confirm contents before proceeding.

  1. Scan Folder

- Accept only .pdf, .doc, .docx files. - Abort if folder is empty or missing.

  1. Upload Resumes

- From skills/ai-interview/, run node run.js --folder <dir> --jobTitle <title> --company <company> --email <email>. - The script auto-detects .pdf/.doc/.docx files (up to 100), uploads each to Fuku.ai's upload endpoint, and captures the returned file URLs. - On any failed upload, the script aborts and reports the .desc field from the API.

  1. Trigger Interview Job

- The same script immediately calls the interview creation endpoint with payload { jobTitle, company, email, fileUrls }. - Authentication uses hardcoded credentials (see "Hardcoded Configuration" table above). - Expect response { "code": 0, "data": { "id", "company", "title", ... } }. - If code is not 0, the script surfaces the error and stops.

  1. Report Back

- Confirm job creation, list resumes included, and restate the email destination. - Persist only the minimal identifiers (id, company, title) into ai-interview/jobs/<timestamp>.json—no need to keep full payloads. - Remind the user that AI interview reports are delivered directly to the email they provided. - A typical success response looks like:

     {
       "code": 0,
       "data": {
         "id": "5b16b2d2f5e947f78244246a9f24e2cb",
         "company": "FUKU",
         "title": "cfoe",
         ... (truncated)
       },
       "desc": "successful"
     }

🔒 Validation & Safety

  • Email: Must match /^[^@\s]+@[^@\s]+\.[^@\s]+$/.
  • File count: Maximum 100 resumes per batch.
  • Upload errors: The Fuku API must return code: 0; otherwise surface the .desc field and ask whether to retry or skip that file.
  • PII handling: Do not log resume contents—only file names are logged (not full remote URLs).
  • HTTPS: Both endpoints use HTTPS.
  • Data destination: Resume files are sent to Fuku.ai's third-party service. Review their privacy policy before uploading sensitive documents.

📁 Local Storage

Minimal audit trail stored under ai-interview/jobs/:

ai-interview/
  jobs/
    2026-02-27T08-30-00Z.json  # job identifiers only

Each file contains only the essential identifiers (no resume data or full API responses):

{
  "timestamp": "2026-02-27T08:30:00Z",
  "jobId": "5b16b2d2f5e947f78244246a9f24e2cb",
  "company": "FUKU",
  "title": "cfoe"
}

🧪 Testing Tips

  • Use dummy resumes and a test email address for initial runs.
  • Validate that the email receives the AI interview report before marking the job done.
  • Note: This skill only works with Fuku.ai's production endpoints—there is no staging/mock mode.

🆘 Troubleshooting

IssueCauseFix
Upload returns 413File too largeCompress resume or raise server limit
fileUrls emptyUpload failed silentlyCheck upload response for success flag
API 400Missing fieldsEnsure jobTitle/company/email/fileUrls filled

📣 User Prompt Template

"Great! Need the job title, company name, a mailbox for the interview report, and the folder path containing the resumes (PDF/DOC/DOCX)."

🚀 Next Steps

  • Automate email notifications to confirm when the interview report is delivered (future enhancement).
  • Add optional metadata per candidate (experience, notes) by extending the payload.

Happy interviewing! 🎙️

平台分布

OpenClaw

96.56%
按下载量换算4,543

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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