meeting-minutes-zh

meeting-minutes-zh is a skill for Claude Code, Codex from AgiWish/hermes-skills-zh. It costs 47 tokens per session (847 once invoked), scanned A, original, MIT.

A Chinese-language tool for turning meeting transcripts or notes into structured minutes. It separates final decisions, action items, unresolved questions, and background information.

In plain words
What is it for?
Use it after meetings to create standard minutes, a brief summary, or an email for attendees. It helps record decisions, tasks, responsible people, deadlines, participants, and meeting context.
Why use it?
It reduces the effort of finding commitments inside a long conversation. It keeps owners and deadlines visible, while marking them as unassigned or unconfirmed when the notes do not say.

Skill for Claude CodeCodex

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

Good fit Use it after meetings to create standard minutes, a brief summary, or an email for attendees. It helps record decisions, tasks, responsible people, deadlines, participants, and meeting context.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agiwish/hermes-skills-zh/meeting-minutes-zh
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 AgiWish/hermes-skills-zh --skill meeting-minutes-zh
Clone the repo
git clone --depth 1 https://github.com/AgiWish/hermes-skills-zh

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 meeting-minutes-zh

README.md
[![agentmods](https://agentmods.dev/badge/skills/agiwish/hermes-skills-zh/meeting-minutes-zh/github.svg)](https://agentmods.dev/skills/agiwish/hermes-skills-zh/meeting-minutes-zh)
Your own site
<a href="https://agentmods.dev/skills/agiwish/hermes-skills-zh/meeting-minutes-zh"><img src="https://agentmods.dev/badge/skills/agiwish/hermes-skills-zh/meeting-minutes-zh/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.

agentmods 80×15 button for meeting-minutes-zh

Your own site · 80×15
<a href="https://agentmods.dev/skills/agiwish/hermes-skills-zh/meeting-minutes-zh"><img src="https://agentmods.dev/badge/skills/agiwish/hermes-skills-zh/meeting-minutes-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 847 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 $0.00047 $0.00847
Opus 5 $0.00023 $0.00424
Sonnet 5 $0.00009 $0.00169
Haiku 4.5 $0.00005 $0.00085

Measured 12d ago against content hash 14ac3d6303a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

meeting-minutes-zh 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 12d 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/meeting-minutes-zh/SKILL.md · 95 lines

What it actually says

会议纪要 (meeting-minutes-zh)

When to Use

当用户说以下任意内容时激活:

  • "帮我整理会议纪要"、"写一下会议记录"
  • 粘贴了一大段会议文字记录或录音转写
  • "刚开完会,帮我总结一下"
  • /meeting-minutes-zh [内容]

Quick Reference

/meeting-minutes-zh [会议文字记录或要点]

可选参数:
  --format=标准    # 标准纪要格式(默认)
  --format=简报    # 只输出决策和行动项
  --format=邮件    # 适合发给参会人的邮件版本

Procedure

  1. 解析输入

    • 识别会议主题(如未说明,从内容推断)
    • 提取参会人员(如有提及)
    • 识别会议时间(如有提及)
  2. 提取关键信息 重点识别以下四类内容:

    • 决策项:「决定…」「确认…」「同意…」「通过…」
    • 行动项:「需要…」「负责…」「跟进…」「下周前…」
    • 待确认项:「待定…」「需要讨论…」「暂不确定…」
    • 背景信息:支撑决策的上下文
  3. 生成纪要

    📋 会议纪要
    
    会议主题:[主题]
    时间:[时间 / 未提供则留空]
    参会人:[姓名列表 / 未提供则留空]
    
    ── 会议背景 ──
    [1-2句话说明会议目的]
    
    ── 主要决策 ──
    ✅ [决策1]
    ✅ [决策2]
    
    ── 行动项 ──
    | 事项 | 负责人 | 截止时间 |
    |------|--------|----------|
    | [事项1] | [人名/未指定] | [时间/未指定] |
    | [事项2] | [人名/未指定] | [时间/未指定] |
    
    ── 待确认事项 ──
    ❓ [待确认1]
    ❓ [待确认2]
    
    ── 下次会议 ──
    [时间 / 未提及则省略此节]
    
  4. 微信/钉钉适配

    • 移除表格,改为列表格式
    • 行动项格式改为:「@[人名] [事项],截止 [时间]」

Pitfalls

  • 行动项负责人不明确时,标注「[待指定]」而不是猜测
  • 截止时间未提及时,标注「[待确认]」
  • 不要把讨论过程写进决策项,只记录最终结论
  • 内容太多时,优先保留决策和行动项,背景可压缩

Verification

  • 行动项是否有明确的「做什么」
  • 负责人和截止时间字段是否都已填写或标注「待确认」
  • 决策项是否只包含最终结论
  • 格式是否适配目标平台(微信/飞书)
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. 12d ago First seen · 95 lines · 47 tokens per session scan A 14ac3d6303a1

Subscribe to this mod's changes

meeting-minutes-zh is a skill published in the GitHub repository AgiWish/hermes-skills-zh (5 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 847 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

Related

Other skills, from other repositories

hermespace

Full Hermespace pocket workbench for Hermes Agent (v0.18+): concept, dual decode, workbench I/O, fabric skills+MEMORY, FOA desk, Pulse, viewport app-shell, Tailscale serve, pocket boundary, autonomy grid, Desktop plugin, ops boot/doctor/smoke. Use for hermespace, pocket, workbench, FOA, pulse, viewport, access…

PabloTheThinker/hermespace · 100 tokens

21-day-self-interview

A 21-night guided self-reflection routine in which an agent asks three questions each night, remembers the answers, and reflects on them at key points.

Forlives/21-day-self-interview · 68 tokens

awesome-literature-review

A Chinese-language workflow for writing narrative academic literature reviews, which summarize and assess existing research on a topic.

yzbbds520/awesome-literature-review · 312 tokens

persona-compass

Build personality models of colleagues, clients, friends, or family members and get AI-powered communication strategies. Use this skill whenever the user wants to: understand someone's personality, predict how someone will react, get advice on communicating with a difficult person, prepare for a tough conversation…

snowyowlmia/persona-compass · 172 tokens

ai-tips-tricks

An automated workflow for searching the web for practical AI tips, techniques, and workflows, then writing tutorial-style Chinese posts and sending them to Telegram.

0xMulight/human-social-copy · 53 tokens

pingpong

Spontaneous local leisure meetups via a shared agent board: publish, discover and match offers, then negotiate place & time agent-to-agent. ALWAYS use this skill when the user spontaneously wants to do something or says: "publish an offer", "I want to play table tennis / X", "fancy a ...", "who's free for ...", "find…

0xAaronx0/pingpong · 121 tokens