meeting-copilot

meeting-copilot is a skill for Claude Code, Codex from yohey-w/kagemusha. It costs 309 tokens per session (10,445 once invoked), scanned A, original, MIT.

A live meeting assistant that uses two computers: one captures the meeting audio and another transcribes it, monitors agreed facts, and shows prompts. A teleprompter is an on-screen script that guides what you say during the meeting.

In plain words
What is it for?
Guiding a meeting agenda, checking statements against agreed facts, answering unexpected questions, and displaying prepared responses. It is designed for meetings where one Windows laptop captures the audio and a parent computer handles the processing.
Why use it?
It separates your voice from the other speaker's voice using audio channels and watches for contradictions or new information. It also keeps private prompts separate from the window shared with participants.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: runs codex exec; mentions Codex.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is export MEETLIVE_DIR=~/meetlive_state/2026-01-20-acme # 省略時は ./meetlive_state/<フォルダ名>.

Good fit Guiding a meeting agenda, checking statements against agreed facts, answering unexpected questions, and displaying prepared responses. It is designed for meetings where one Windows laptop captures the audio and a parent computer handles the processing.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/yohey-w/kagemusha
agentmods
npx agentmods add skills/yohey-w/kagemusha/meeting-copilot

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-copilot

README.md
[![agentmods](https://agentmods.dev/badge/skills/yohey-w/kagemusha/meeting-copilot/github.svg)](https://agentmods.dev/skills/yohey-w/kagemusha/meeting-copilot)
Your own site
<a href="https://agentmods.dev/skills/yohey-w/kagemusha/meeting-copilot"><img src="https://agentmods.dev/badge/skills/yohey-w/kagemusha/meeting-copilot/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-copilot

Your own site · 80×15
<a href="https://agentmods.dev/skills/yohey-w/kagemusha/meeting-copilot"><img src="https://agentmods.dev/badge/skills/yohey-w/kagemusha/meeting-copilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 309 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,445 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high YARA Match · line 82
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
  • medium Rogue Agent · line 346
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 416
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 $0.00309 $0.10445
Opus 5.5 $0.00124 $0.04178
Sonnet 5.5 $0.00062 $0.02089
Haiku 4.5 $0.00031 $0.01044

Measured 1mo ago against content hash 9e843b94fd43, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

meeting-copilot scanned grade A with 1 finding 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 1mo ago.

The scan reads SKILL.md. This mod also ships 30 executable files (scripts/action_log.py, scripts/agent_cli.py, scripts/answerer.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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **ポートが埋まっている/差し替えたい — `kill` を使わない。** 3層とも自分で席を譲る: `viewer2.py` は `curl http://127.0.0.1:47323/quit`(localhost からのみ)、`copilot.py` は新しいのをそのまま起動すれば古い方が降りる、`receiver.py` はすぐ上げ直せる。`kill -9` は状態ファイルを中途半端に残す
templates/skills/meeting-copilot/SKILL.md · 466 lines

How it starts

The opening of the file, as written. The whole thing — 466 lines — stays where its author put it; the contents beside it link to each section on GitHub.

meeting-copilot

会議に同席して、進行と前提を見張るモニタ一式

English abstract — Two machines. The child (a Windows laptop, in the meeting) captures two physical audio channels — T = your microphone, G = a WASAPI loopback of the default speaker — and streams both to the parent over TCP with a shared token. The parent transcribes each channel separately (speaker identity comes from the channel, never from diarization), then runs three layers over the transcript: a rule-only warden (copilot.py) that advances the agenda and fires boundary alarms with no LLM at all; a premise watcher (premise_watch.py) that classifies every guest utterance against a ledger of pre-agreed facts as contradiction / already-known / new; and an answerer (answerer.py) for off-script questions. A teleprompter (viewer2.py) serves two different pages — a prompt screen only you see on your phone, and a stage window you actually screen-share. Everything case-specific lives in config files; the code carries no customer data. Written mainly in Japanese; the structure is language-independent.

エージェントとして呼ばれたら — 完了の形と止まる場面

頼まれやすいのは、会議の前夜の準備(会議フォルダを作る・進行表から台本を生成する・起動を確かめる)と、会議後の検証(年表と逐語の突き合わせ・検知キーワードと即答表の手直し)。

前夜の準備の完了は次の4つがそろった状態:

  1. python3 scripts/build_agenda.py <進行表.md> --out <会議フォルダ> --check が終了コード0(「(要記入)」の欄が残っていない)
  2. MEETLIVE_MEETING=<会議フォルダ> を指したうえで python3 scripts/copilot.py --selfcheck を走らせ、同梱の例を読みます の警告が0件
  3. このスキルの scripts/run.sh --dry-run の出力(起こす層・ポート・状態ディレクトリ)を人に見せた
  4. 子機の2窓の接続とイヤホンは人が確かめる。エージェントは確かめたと書かない

止まって人に聞く場面(会議の中身が外へ出る・秘密に触れる):

  • 🔴 decision_backend を jev / llm にする前、replay_eval.py を --backend jev / llm で実際に送る前。先に --dry-run で送る物を見せる
  • 🔴 MEETLIVE_KNOWLEDGE_DIR を指す前・kb/ に資料を置く前(置いたものはそのまま LLM へ送られる)
  • 🔴 roster.txt を作らずに --allow-no-roster で押し切る前
  • 🔴 合言葉・鍵の値をファイルや会話に書くことになりそうなとき。書かない——置き場は会議フォルダの外、鍵は環境変数(§1.5・§1.8(decision-layer.md))

会議の最中に壊さない: 走っている層を畳まない。止めるときは stop.sh(停止ファイル)で、kill / pkill は使わない(§3.2.5・§7.1(troubleshooting.md))。

Read the full file on GitHub · 466 lines

Files

What ships with it

60 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.

  1. 1mo ago Changed · -898 lines · +84 tokens per session 9e843b94fd43
  2. 1mo ago Changed · +8 lines 414aaae6c059
  3. 1mo ago Changed · +500 lines a9b366ead490
  4. 1mo ago Changed · +16 lines 4a0d176441df
  5. 1mo ago Changed · +186 lines 491e7223c240
  6. 2mo ago First seen · 654 lines · 225 tokens per session scan A 51f510600a1f

Subscribe to this mod's changes

meeting-copilot is a skill published in the GitHub repository yohey-w/kagemusha (16 stars, last pushed 9d ago), licensed MIT. It adds 309 tokens to every session and 10,445 once invoked, about $0.0012 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.