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.
npx skills add yukurash/16minds-plugin --skill voice-votegit clone --depth 1 https://github.com/yukurash/16minds-pluginWrote 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.
[](https://agentmods.dev/skills/yukurash/16minds-plugin/voice-vote)<a href="https://agentmods.dev/skills/yukurash/16minds-plugin/voice-vote"><img src="https://agentmods.dev/badge/skills/yukurash/16minds-plugin/voice-vote/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.
<a href="https://agentmods.dev/skills/yukurash/16minds-plugin/voice-vote"><img src="https://agentmods.dev/badge/skills/yukurash/16minds-plugin/voice-vote.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00135 | $0.01689 |
| Opus 5 | $0.00068 | $0.00844 |
| Sonnet 5 | $0.00027 | $0.00338 |
| Haiku 4.5 | $0.00014 | $0.00169 |
Grade A, and why
voice-vote 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.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ユーザーが voice-vote Skill を発動しました。目的: 16人格全員で賛成/反対/保留を投票させ、可決判定と層別の論点を可視化する。
引数の解釈
引数 $ARGUMENTS から以下を取り出す:
- 提案文: 投票対象。1文〜数段落の自由形式。
- モード(オプション):
--mode=light(既定): 投票結果 + 賛否上位3理由のみ--mode=heavy: 投票結果 + 全人格の賛否理由をフル表示 + 反対層の深掘り
- 対象限定:
--types=intj,enfp,...で投票者を絞れる(既定は全16) - 保存:
--saveまたは--out=<path>で結果をOutputs/に保存
エラー処理
- 提案文が空の場合:
Usage: /voice-vote [--mode=light|heavy] [--types=a,b,...] [--save] <提案文> Example: 「全社員PCをMacBook Pro統一にする」を16人格で投票 - 不明なタイプ名・モード: エラーを返して終了。
実行フロー
Phase 1: 全人格に並列投票(全モード共通)
対象人格全員(既定16)を 並列に Task ツールで呼び出す。同一メッセージ内で複数の Task 呼び出しを行うこと。 逐次呼び出しは禁止。
各 subagent に渡す本文:
以下の提案に対し、あなたの人格の価値観から賛成/反対/保留のいずれかを投じてください。中立は禁止、立場を必ず取ること。挨拶・前置きは不要です。
【提案】:
<ここに提案文>
【出力フォーマット】(必ずこの4行で答える):
vote: <yes | no | abstain のいずれか>
key_axis: <あなたの判断に最も効いた価値観の軸(あなたの人格定義に出てくる言葉で)>
reason: <あなたの口調で1〜2文。なぜその投票になったかを端的に>
condition: <投票を覆す条件があれば1文。無ければ "none">
Phase 2: 集計と表示(全モード共通)
全人格の結果が揃ったら、以下の構成で表示する:
### 投票結果
| 集計 | 人格 |
|---|---|
| 賛成 (N) | <タイプ群をカンマ区切り> |
| 反対 (N) | <タイプ群をカンマ区切り> |
| 保留 (N) | <タイプ群をカンマ区切り> |
### 可決判定
<賛成 > 反対 → 可決 / 賛成 < 反対 → 否決 / 同数 → 拮抗(要再検討) を1行で>
<賛成率 = 賛成 / 全投票数 を併記>
### 主要な賛成理由(key_axis 別に2〜3個)
- <key_axis A> (代表: <タイプ群>): <なぜこの軸で賛成になるかを1文で>
- <key_axis B> (代表: <タイプ群>): <同上>
### 主要な反対理由(key_axis 別に2〜3個)
- <key_axis X> (代表: <タイプ群>): <1文で>
- <key_axis Y> (代表: <タイプ群>): <同上>
### 保留層の論点(あれば)
- <保留した人格が何を懸念しているかを1〜2文で>
Phase 3: 反対層の深掘り(heavy のみ)
反対投票したタイプを 並列に Task で再呼び出し。各 subagent には自分の Phase 1 出力を渡し、以下を求める:
あなたは先ほどこの提案に反対しました。今度は、提案を通すために最低限満たすべき条件を1つだけ挙げてください。妥協できる条件です。
【あなたの反対理由】: <Phase 1 の reason>
【出力フォーマット】:
minimum_condition: <提案を受け入れる最低条件を1文で>
結果を以下のように表示:
### 反対層が出した「最低条件」(heavy)
- <タイプ>: <minimum_condition>
- <タイプ>: <minimum_condition>
...
### 統合: 反対層を取り込む修正案
<反対層の minimum_condition を眺めて、メインの assistant が中立的に「これらを全部満たす修正案」を1〜2案、3〜5文で提示する。subagent は呼ばない。>
出力構成のまとめ
- light: 投票結果表 + 可決判定 + 主要賛否理由 + 保留層論点
- heavy: 上記 + 反対層の最低条件 + 統合修正案
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.
- 8d ago First seen · 120 lines · 135 tokens per session scan A 1f025d97723a
voice-vote is a skill published in the GitHub repository yukurash/16minds-plugin (5 stars, last pushed 15d ago), licensed MIT. It adds 135 tokens to every session and 1,689 once invoked, about $0.0007 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…