What is feishu-interview-minutes-vp?

A Feishu/Lark meeting-note workflow that reads interview transcripts and related documents, then produces a structured report in Chinese. Feishu, also called Lark, is a workplace collaboration and document platform.

Use it to review Chinese interviews, prepare interviewer coaching reports, and trace transcripts from Feishu Minutes, Docx, Wiki, or pasted text.

It avoids manually searching meeting notes and turning interview discussions into a review document. It focuses the report on interviewer questions, follow-ups, challenges, and coaching points instead of copying the whole transcript.

feishu-interview-minutes-vp — Skill for Codex by VectorPeak

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add VectorPeak/vectorpeak-agent-skills --skill feishu-interview-minutes-vp

Clone the repo

git clone --depth 1 https://github.com/VectorPeak/vectorpeak-agent-skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/vectorpeak/vectorpeak-agent-skills/feishu-interview-minutes-vp/github.svg)](https://agentmods.dev/skills/vectorpeak/vectorpeak-agent-skills/feishu-interview-minutes-vp)

Your own site

<a href="https://agentmods.dev/skills/vectorpeak/vectorpeak-agent-skills/feishu-interview-minutes-vp"><img src="https://agentmods.dev/badge/skills/vectorpeak/vectorpeak-agent-skills/feishu-interview-minutes-vp/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/vectorpeak/vectorpeak-agent-skills/feishu-interview-minutes-vp"><img src="https://agentmods.dev/badge/skills/vectorpeak/vectorpeak-agent-skills/feishu-interview-minutes-vp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,529 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00062	$0.01529
Opus 5.5	$0.00025	$0.00612
Sonnet 5.5	$0.00012	$0.00306
Haiku 4.5	$0.00006	$0.00153

Measured today against content hash 3abd762f1ba3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feishu-interview-minutes-vp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/build_interview_prompt.py, scripts/extract_feishu_links.py, scripts/validate_interview_report.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

job-skills/feishu-interview-minutes-vp/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feishu Interview Minutes

Purpose

Turn Feishu interview materials into a structured Chinese Markdown report focused on interviewer questions, follow-ups, challenges, boundary checks, and coaching directions.

Do not summarize the candidate's answers unless needed to understand why a follow-up was asked. Do not keep raw transcript text in the final report unless the user explicitly requests it.

Workflow

Check user authorization with lark-cli auth status --verify. Do not create an authorization link unless there is a clear missing_scope or expired user token.
Identify the source type: /docx/, /wiki/, /minutes/, transcript file, or pasted text.

For Docx/Wiki intelligent notes, fetch Markdown with:

lark-cli docs +fetch --api-version v2 --doc "<doc_url>" --as user --doc-format markdown --json

Parse the final 相关链接 section with scripts/extract_feishu_links.py. Intelligent notes often include:
- 妙记: original recording/minutes.
- 文字记录: transcript Docx.
Prefer sources in this order:
- 文字记录 transcript Docx when accessible.
- native Minutes transcript export.
- lark-cli vc +notes transcript artifact.
- intelligent-note body.
- pasted transcript text.
Record inaccessible related sources instead of pretending they were used. permission_denied means the current user lacks document/minute access; do not repeatedly reauthorize.
Run completeness checks before analysis: duration, character count, timestamp span, speaker turns, and large gaps. If a long recording yields only a few hundred characters, mark the report incomplete.
Build a question-chain prompt with scripts/build_interview_prompt.py when a transcript file is available, then produce the final report from that prompt.
Validate the Markdown with scripts/validate_interview_report.py before replying.
On Windows, verify Chinese output with explicit UTF-8 before deciding a generated file is corrupted:

Get-Content -LiteralPath "<report.md>" -Encoding UTF8 -TotalCount 40

Read the full file on GitHub · 166 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

today First seen · 166 lines · 62 tokens per session scan A 3abd762f1ba3

Subscribe to this mod's changes

feishu-interview-minutes-vp is a skill published in the GitHub repository VectorPeak/vectorpeak-agent-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 62 tokens to every session and 1,529 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-30.

Documents PDF Writing and docs agent-skills ai-agents codex developer-tools knowledge-management

paper-researcher

A research assistant for finding academic papers, downloading their PDFs, saving them to WPS notes, a digital notebook, and analysing them. It searches arXiv and OpenAlex, which are academic research databases.

wpsnote/wpsnote-skills · 137 tokens

deck-ai

Generate modern presentation decks (PDF) from markdown content. Local open-source alternative to Gamma — uses Slidev for layouts and Unsplash for imagery. Invoke when the user asks to "make a deck", "build slides from this", or "turn this into a presentation".

assafkip/kipi-system · 57 tokens

cv

A resume update pipeline driven by one master biography file. It creates resume versions for different groups of experience and updates a resume repository and website files, including HTML and PDF outputs.

tonydzi/second-brain-starter-kit · 110 tokens

delivery-engine

Zentrale Zustellungs-Engine fuer Dossiers, Analysen und Berichte. Kanaluebergreifende Zustellung mit User-Folder, Browser-Preview, E-Mail, Telegram, Cloud-Local und System-Inbox. Stand 2026-09-17: vollstaendig implementiert, aber noch von keinem Handler importiert (nur Standalone-Nutzung/Demo vorhanden).

ellmos-ai/bach · 82 tokens

docling

PRIMARY skill for converting .pdf, .docx, .pptx, .xlsx, .doc, .ppt, .xls, images, and audio/video files (.mp3, .wav, .m4a, .mp4, .mov, etc.) to Markdown. Always prefer this over the docx/pdf/pptx/xlsx/paddleocr skills — docling uses GPU-accelerated OCR + layout detection + table structure extraction for documents, and…

zhuzhaoyun/Molio · 119 tokens

prospect

Run a structured pre-mortem on a plan or approach BEFORE execution. Per-step risk enforcement, active evidence-sourcing pass (autonomous lookups + targeted user-asks for anything that could become objective), simpler-alternative discipline, plan-formation diagnosis, action verdicts (PROCEED/SHRINK/SPLIT/DEFER/KILL)…

mikeprasad/aria-knowledge · 152 tokens