hersona-recommend-quiz

hersona-recommend-quiz is a skill for Claude Code, Codex from shiro-0x/hersona. It costs 175 tokens per session (4,017 once invoked), scanned A, original, MIT.

An interactive nine-question quiz that recommends a hersona attribute blend, meaning a described character or personal profile, from the user's answers. It can also run in automated environments without an interactive terminal.

In plain words
What is it for?
Use it when someone wants to take the hersona recommendation quiz interactively, or when a scheduled job, test, or batch process needs to run it.
Why use it?
It turns the quiz answers into a structured recommendation and explanation instead of requiring the user to build the command and interpret the result manually.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for hermes-agent. Also seen: built for hermes-agent.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/run_quiz.py \.

Good fit Use it when someone wants to take the hersona recommendation quiz interactively, or when a scheduled job, test, or batch process needs to run it.

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/shiro-0x/hersona
agentmods
npx agentmods add skills/shiro-0x/hersona/hersona-recommend-quiz

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 hersona-recommend-quiz

README.md
[![agentmods](https://agentmods.dev/badge/skills/shiro-0x/hersona/hersona-recommend-quiz/github.svg)](https://agentmods.dev/skills/shiro-0x/hersona/hersona-recommend-quiz)
Your own site
<a href="https://agentmods.dev/skills/shiro-0x/hersona/hersona-recommend-quiz"><img src="https://agentmods.dev/badge/skills/shiro-0x/hersona/hersona-recommend-quiz/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 hersona-recommend-quiz

Your own site · 80×15
<a href="https://agentmods.dev/skills/shiro-0x/hersona/hersona-recommend-quiz"><img src="https://agentmods.dev/badge/skills/shiro-0x/hersona/hersona-recommend-quiz.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 175 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,017 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 pass 7 Sept 2026
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 $0.00175 $0.04017
Opus 5 $0.00088 $0.02008
Sonnet 5 $0.00035 $0.00803
Haiku 4.5 $0.00017 $0.00402

Measured 11d ago against content hash 4380affffb92, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

hersona-recommend-quiz 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 11d 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

3. **9 個揃ったら** `hersona recommend --answers "..." --explain --json` を `subprocess.run` で実行
skills/hersona-recommend-quiz/SKILL.md · 269 lines

How it starts

The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.

hersona-recommend-quiz

Overview

hersona 診断クイズを ユーザーとして体験する側 のスキル。hersona-recommend-engine(engine 開発側)の対となる skill。

やることは単純:

  1. hersona/data/quiz/recommend_quiz.yaml から 9 問を読む
  2. 1 問ずつ番号付き選択肢を提示し、番号を集める
  3. key=index 形式の文字列を組み立てて hersona recommend --answers "..." --explain --json を実行
  4. 結果 JSON を Markdown 整形(Telegram / Discord / ターミナル全対応)で返す

LLM 主軸: 通常のチャットセッションでは、エージェントが SKILL.md を読んで Q1〜Q9 を表示し、ユーザーの番号を --answers に変換して CLI を叩く。

ヘルパー同梱: scripts/run_quiz.py を同梱し、TTY がない環境(cron / バッチ / CI / 自動テスト)ではこっちで stdin 経由に 9 問進行 → --answers 生成 → 結果整形まで一括実行できる。

When to Use

  • 「hersona で recommend して」「診断クイズやりたい」「キャラ診断して」「属性推薦して」など、ユーザーがクイズを プレイしたい とき
  • 結果(採用された属性 blend / 根拠 / 代替案 / サマリ / 推奨強度)を Markdown で見やすく 受け取りたいとき
  • TTY がない自動化経路(cron / テスト)で recommend を使いたいとき → scripts/run_quiz.py

Don't use for:

  • クイズ YAML / WeightMagnitude / 閾値 / テストの 追加・編集(→ hersona-recommend-engine
  • 新しい属性 YAML の 追加(→ hersona-attribute-development
  • ペルソナをセッションにアタッチする作業(→ hersonaattach / recommend セクション)
  • hersona リポジトリの戦略的・複数 PR 横断の作業(→ hersona-project-operations

The 9 Questions (固定 ID)

クイズの本体は hersona/data/quiz/recommend_quiz.yaml にあり、9 問。各質問は次の ID で固定(= CLI --answers のキー)。ID を変えるとユーザーの既存スクリプトが壊れるので SKILL.md / YAML をまたいで常に同期すること。

ID 質問
distance personality 相手との距離感は?
emotion personality 感情の出し方は?
speech speech どんな話し方が好み?
role archetype 物語での立ち位置は?
hobby hobby 趣味・ライフスタイルで近いのは?
appearance visual 外見・雰囲気で近いのは?
lifestyle lifestyle 日常の過ごし方は?
interaction interaction 人と接するときは?
cultural cultural 文化的・知的なバックグラウンドは?

選択肢の最新版は必ず YAML から読む(= 同梱禁止、コードと YAML の二重管理を避ける)。LLM フローの冒頭で read_file で YAML を読み込み、表示用テキストを生成する。

i18n (Phase 3〜): prompt / labelBASE=en。日本語は各質問・各選択肢の i18n: {ja: {prompt|label: "..."}} に入る(上表は日本語版 = i18n.ja.prompt)。 表示言語に合わせて i18n.<lang> を優先し、無ければ BASE(en) にフォールバックして出すこと。

LLM Flow (manual / interactive)

Read the full file on GitHub · 269 lines

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. 11d ago First seen · 269 lines · 175 tokens per session scan A 4380affffb92

Subscribe to this mod's changes

hersona-recommend-quiz is a skill published in the GitHub repository shiro-0x/hersona (51 stars, last pushed 14d ago), licensed MIT. It adds 175 tokens to every session and 4,017 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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