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fangpian-facechat-export

fangpian-facechat-export is a skill for Claude Code, Codex from YiShu5/claude-skills. It costs 141 tokens per session (1,044 once invoked), scanned A, original, MIT.

A formatting procedure for turning an enterprise chat face-to-face meeting transcript into a fixed Markdown file. The file includes meeting details and speaker-labelled text so another meeting system can process it.

In plain words
What is it for?
Use it to export interviews, pay discussions, performance meetings, dismissal conversations, and other one-to-one meetings with the required names, times, type, and transcript format.
Why use it?
It removes manual formatting and preserves the exact transcript needed for matching recordings, writing minutes, and assigning follow-up tasks. It also marks sensitive personnel meetings for restricted handling.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 132repo +1 8d ago A scan 141 tokens original MIT

Good fit Use it to export interviews, pay discussions, performance meetings, dismissal conversations, and other one-to-one meetings with the required names, times, type, and transcript format.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yishu5/claude-skills/fangpian-facechat-export
View source ↗ YiShu5/claude-skills
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 YiShu5/claude-skills --skill fangpian-facechat-export
Clone the repo
git clone --depth 1 https://github.com/YiShu5/claude-skills

Made for: Claude Code, 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.

agentmods badge for fangpian-facechat-export

README.md
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Your own site
<a href="https://agentmods.dev/skills/yishu5/claude-skills/fangpian-facechat-export"><img src="https://agentmods.dev/badge/skills/yishu5/claude-skills/fangpian-facechat-export/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/yishu5/claude-skills/fangpian-facechat-export"><img src="https://agentmods.dev/badge/skills/yishu5/claude-skills/fangpian-facechat-export.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,044 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00141 $0.01044
Opus 5.5 $0.00056 $0.00418
Sonnet 5.5 $0.00028 $0.00209
Haiku 4.5 $0.00014 $0.00104

Measured 8d ago against content hash 9a79aa96327a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fangpian-facechat-export 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 8d ago.

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.

skills/方片/fangpian-facechat-export/SKILL.md · 78 lines

What it actually says

方片面聊转写导出（fangpian-facechat-export）

把一场企业微信面聊的转写，整理成会议纪要系统能直接读的固定格式 Markdown。系统每晚把它对上会议室录音那场会，换成带发言人真名的转写，纪要、卡点、待办就能写到具体的人。

格式是系统按行读的，一个字段都不能改名、不能多加内容。

一、全部导出，人事类必须标类型

所有面聊都导出，包括面试、谈薪酬、绩效面谈、辞退沟通和私人谈话。这几类必须在「类型」里写清楚：会议纪要系统会把它们当保密会，只给管理员看，不进日报和群消息。

因为人事类内容也会存进「会议系统·面聊转写」，这个微盘文件夹只能给上传人和搬运账号权限。

二、文件名

日期_开始时间_会议标题.md，例如 2026-10-22_2130_AI商业化与创新机制.md。

  • 开始时间 4 位数字，不带冒号；
  • 标题里的 / \ : * ? " < > | 换成 -。

三、文件内容（严格按这个格式）

不要加别的标题、说明、总结、表格：

# 会议标题
- 日期：YYYY-MM-DD
- 时间：HH:MM–HH:MM
- 会议室：开会的会议室名字
- 发起人：发起人姓名
- 参会人：姓名、姓名、姓名
- 类型：普通

## 转写
[HH:MM:SS] 姓名：这句话的原文
[HH:MM:SS] 姓名：这句话的原文

  • 类型：只写一个，从「普通 / 面试 / 谈薪酬 / 绩效面谈 / 辞退沟通 / 私人谈话」里选；拿不准就问用户。

  • 会议室：写开会所在会议室的名字，例如 2F 正心正念；不在会议室、纯线上就写 线上；不知道就先问用户，不要猜。

  • 时间：面聊开始到结束，用 – 连接。

四、转写部分的规则

  1. 一句一行，按时间先后；时间是这句话开始说的时刻，精确到秒。
  2. 「姓名」用企业微信里的显示名，可以带括号花名，例如 于静平 (吉米)；不知道是谁说的写 未识别，不要猜。
  3. 原文照抄：不改写、不总结、不润色、不删减，口头语和错字也保留；听不清的地方写 [听不清]。
  4. 不要给转写加任何评论或标注。

五、存好以后

存进微盘文件夹「会议系统·面聊转写」，然后告诉用户：

  • 文件名、一共多少句、几位发言人；
  • 如果会议室是 线上 或不确定，提醒一句：「这场对不上会议室录音，系统会先记下来，不会进当天的会议纪要」。

示例

# AI商业化与创新机制
- 日期：2026-10-22
- 时间：21:30–22:40
- 会议室：2F 正心正念
- 发起人：刘毅凯
- 参会人：于静平、张振东
- 类型：普通

## 转写
[21:54:03] 于静平 (吉米)：你去尝试怎么跟他聊，什么样的博主可以破冰。
[21:54:10] 张振东：理论上，财务不需要吧？
[21:55:02] 于静平 (吉米)：好哥已对接财务。
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.

  1. 8d ago First seen · 78 lines · 141 tokens per session scan A 9a79aa96327a

Subscribe to this mod's changes

fangpian-facechat-export is a skill published in the GitHub repository YiShu5/claude-skills (132 stars, last pushed 8d ago), licensed MIT. It adds 141 tokens to every session and 1,044 once invoked, about $0.0006 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.

Documentsagent-skillsai-workflowsautomationproduct-management
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