moka 面试评价整理

Extract the verbatim transcript (逐字稿) and AI minutes (纪要) text from a password-protected Tencent Meeting (腾讯会议) cloud recording share page (meeting.tencent.com/meeting-record/shares). End-to-end: also auto-extract the share link and password directly from a Moka (Moka HR) interview detail page (招聘 → 我的面试 → 未反馈 → 候选人面试详情 → 面试录制) before scraping. Triggers include '抓腾讯会议录制', '从 Moka 面试录制拿逐字稿', '某候选人的面试录制地址和密码', '录制的文字稿', 'meeting.tencent.com/meeting-record'. Launches a clean headless Chrome, enters the password, switches 纪要/逐字稿 tabs, scrolls the virtualized transcript, and exports two .txt files. Do not use the tmeet MCP connector — its record API returns permission errors for recordings owned by others." Also turns the scraped 逐字稿 + 纪要 into a structured Moka interview evaluation (面试评价): fact-checked against the verbatim transcript and mapped to Moka feedback fields (综合评分 / 推荐理由 / 详细评价). Triggers include "整理成面试评价", "写面试反馈", "填 Moka 评价", "把 txt 整理成面试评价".

模型生成摘要（rules/v1 · 2026-09-22 02:12）：Extract the verbatim transcript (逐字稿) and AI minutes (纪要) text from a password-protected Tencent Meeting (腾讯会议) cloud re…
这是模型对公开材料的总结，不是官方声明，请以原链内容为准。

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