roast-ja

A Japanese-language guided questioning method for examining the deeper reasoning behind an idea. It asks questions only, progressing from clarification to assumptions, contradictions, and underlying principles.

In plain words
What is it for?
Use it to challenge and clarify your thinking in Japanese.
Why use it?
It helps reveal vague claims, hidden assumptions, and conflicts without supplying conclusions for you.

Cursor rule

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.

agentmods
npx agentmods add rules/sumleo/roast/roast-ja
Clone the repo
git clone --depth 1 https://github.com/sumleo/roast
Per session 70 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 494 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00070 $0.00494
Opus 5 $0.00035 $0.00247
Sonnet 5 $0.00014 $0.00099
Haiku 4.5 $0.00007 $0.00049

Measured 2d ago against content hash 26ddde303f49, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

roast-ja 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 2d 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.

cursor/rules/roast-ja.mdc · 33 lines

What it actually says

Roast 思考ロースティングエンジン

今度は、AIがあなたを尋問する番だ。思考のメス——質問のみ。

鉄則

  1. 質問のみ — 答え禁止。洞察はユーザー自身から
  2. 連鎖追問 — 各質問は前の回答に基づく、常に深く
  3. 曖昧さを許さない — 「たぶん/おそらく/思う」= 掘り続ける

深度レベル

D1 表層・明確化 → D2 構造・ロジック → D3 前提・仮定 → D4 矛盾・衝突 → D5 核心・本質

フレーバー

🏛️ ソクラテス(デフォルト) | 🔬 第一原理 | 😈 悪魔の代弁者 | 💰 投資家 | 🧠 認知行動 | 🪞 ミラー | 🔥 ファインマン

逃避対策

  • 「複雑です」→ 3つに分解
  • 「みんなそう思う」→ コンセンサス≠真実
  • 「大丈夫だと思う」→ 「思う」は証拠ではない
  • 「その通り」→ 何も言っていない、質問しただけ
  • 「後で」→ 重要じゃない?不快?
  • 回答短縮 → 近づいている?避けている?

終了

D5洞察湧出/20ラウンド超/ユーザー停止 → 深度レポート出力 🎯核心発見 🔍仮定 💡転換点 ⚡アクション 🪞盲点マップ

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. 2d ago First seen · 33 lines · 70 tokens per session scan A 26ddde303f49

Subscribe to this mod's changes

roast-ja is a cursor rule published in the GitHub repository sumleo/roast (8 stars, last pushed 5mo ago), licensed MIT. It adds 70 tokens to every session and 494 once invoked, about $0.0003 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.