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聘才猫(Pincaimao)面试出题大师

by @pincaimao

聘才猫 - 面试出题大师 Use when calling Pincaimao Interview Question Master API to generate interview questions based on a job description and candidate resume. Requir...

Versionv1.0.1
Downloads432
TERMINAL
clawhub install pincaimao-interview-question

📖 About This Skill


name: pincaimao-interview-question description: 聘才猫 - 面试出题大师 Use when calling Pincaimao Interview Question Master API to generate interview questions based on a job description and candidate resume. Requires PCM_INTERVIEW_QUESTIONS_KEY env var. version: 1.0.1 allowed-tools: - Bash metadata: openclaw: emoji: "❓" homepage: https://www.pincaimao.com primaryEnv: PCM_INTERVIEW_QUESTIONS_KEY requires: env: - PCM_INTERVIEW_QUESTIONS_KEY bins: - curl - python3

聘才猫 - 面试出题大师

REQUIRED: 请先检查是否已安装 pincaimao-basic,若未安装请先安装,然后加载它了解通用接口(文件上传、鉴权、响应格式、SSE 解析模板)。

环境变量PCM_INTERVIEW_QUESTIONS_KEY(智能体专属 key) > 还没有密钥?通过邀请链接注册并完成认证即可免费获取:pincaimao.com/agents/login?invite_code=uwqc

调用前的信息确认

执行前需要确认:职位描述(job_info)简历文件

确认策略:

  • 上下文中已有相关信息 → 展示摘要并询问是否使用,例如:
  • > "检测到上下文中有一份 JD(XXX),是否使用这个?"
  • 上下文中没有 → 直接请用户提供
  • 同时询问:

  • 题目数量(question_number,默认 6)
  • 是否输出分析(can_outputAnalysis,默认 "false"
  • 请求参数

    | 字段 | 必填 | 说明 | |------|------|------| | inputs.job_info | 是 | 职位描述全文 | | inputs.file_url | 是 | 简历文件的 cos_key | | inputs.job_title | 否 | 职位名称 | | inputs.question_number | 否 | 题目数量,默认 6,类型为数字 | | inputs.can_outputAnalysis | 否 | 是否输出分析,字符串 "true""false",默认 "false" | | query | 是 | job_info 前 20 个字符,无 job_info 时用文件名 |

    完整示例

    #!/bin/bash
    RESUME_FILE="/path/to/resume.docx"
    JOB_INFO="高级销售专员 / 销售主管,行业领先平台,完善晋升通道和培训体系"
    JOB_TITLE="高级销售专员"

    Step 1: 上传简历

    UPLOAD=$(curl -s -X POST 'https://api.pincaimao.com/agents/v1/files/upload' \ -H "Authorization: Bearer $PCM_INTERVIEW_QUESTIONS_KEY" \ -F "file=@$RESUME_FILE") COS_KEY=$(echo "$UPLOAD" | python3 -c "import sys,json; print(json.load(sys.stdin)['cos_key'])")

    Step 2: 生成面试题

    QUERY=$(echo "$JOB_INFO" | cut -c1-20) curl -s -X POST 'https://api.pincaimao.com/agents/v1/chat/chat-messages' \ -H "Authorization: Bearer $PCM_INTERVIEW_QUESTIONS_KEY" \ -H 'Content-Type: application/json' \ -d "{ \"query\": \"$QUERY\", \"inputs\": { \"job_info\": \"$JOB_INFO\", \"file_url\": \"$COS_KEY\", \"job_title\": \"$JOB_TITLE\", \"question_number\": 6, \"can_outputAnalysis\": \"false\" }, \"response_mode\": \"blocking\" }" | python3 -c "import sys,json; print(json.load(sys.stdin)['answer'])"

    常见错误

    | 问题 | 原因 | 解决 | |------|------|------| | 401 | Key 错误 | 检查 PCM_INTERVIEW_QUESTIONS_KEY | | 题目数量不对 | question_number 传成了字符串 | 确保传数字类型 6,不是 "6" | | can_outputAnalysis 无效 | 传成了布尔值 | 必须是字符串 "true""false" | | answer 为空 | file_url 传了 presigned_url | 用上传响应的 cos_key 字段 |

    输出模式

  • 默认:AI 对 API 返回结果进行整理表述,输出更易读的内容
  • 原始输出:用户说"显示原始输出"或"raw output"时,将 API 返回的原始内容用代码块原样展示,不作任何改动
  • - Blocking 模式:直接取 answer 字段内容原样输出 - Streaming 模式:将所有 message / agent_message 事件的 answer 片段拼接完整后,原样输出,不作重述


    External Endpoints

  • https://api.pincaimao.com — Pincaimao platform API (chat, file upload, conversations)
  • Security & Privacy

  • API key is read from environment variable and passed via Authorization header; never hardcoded
  • Resume files, job descriptions, and contract text are transmitted to api.pincaimao.com for AI processing
  • Uploaded files are stored on Pincaimao's COS (Cloud Object Storage); returned cos_key paths should be treated as sensitive
  • This skill does not store, log, or transmit data to any endpoint other than api.pincaimao.com
  • Safe to invoke autonomously; all network calls are scoped to the authenticated user's API key