propose-options

propose-options is a skill for Claude Code, Codex from sei-newbear/xp-harness. It costs 178 tokens per session (1,513 once invoked), scanned A, original, MIT.

An options skill compares several possible approaches to a design or implementation decision, showing their advantages, drawbacks, and one recommendation.

In plain words
What is it for?
It is for decisions where two or more technical approaches are possible and the choice affects how the project is built.
Why use it?
It helps developers understand the trade-offs before choosing a library, architecture, API design, file structure, or testing approach.

Skill for Claude CodeCodex

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 skills/sei-newbear/xp-harness/propose-options
Any agent
npx skills add sei-newbear/xp-harness --skill propose-options
Clone the repo
git clone --depth 1 https://github.com/sei-newbear/xp-harness

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 propose-options

README.md
[![agentmods](https://agentmods.dev/badge/skills/sei-newbear/xp-harness/propose-options.svg)](https://agentmods.dev/skills/sei-newbear/xp-harness/propose-options)
Your own site
<a href="https://agentmods.dev/skills/sei-newbear/xp-harness/propose-options"><img src="https://agentmods.dev/badge/skills/sei-newbear/xp-harness/propose-options.svg" alt="Measured on agentmods" height="20"></a>
Per session 178 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,513 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 $0.00178 $0.01513
Opus 5 $0.00089 $0.00757
Sonnet 5 $0.00036 $0.00303
Haiku 4.5 $0.00018 $0.00151

Measured 5d ago against content hash 1f5f2c2e8d6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

propose-options 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 5d 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.

.apm/skills/propose-options/SKILL.md · 86 lines

What it actually says

複数案+メリデメ+推奨を提示する

なぜこの skill があるか

技術判断や設計判断は、ほぼ必ず複数のアプローチがありえる。一案だけ提示すると、依頼者は「他に選択肢はないのか」「なぜこれを選んだのか」が分からないまま受け入れることになる。これは依頼者の判断を奪う行為で、結果としてエンドユーザーに不利益な設計が通りうる。

複数案を pros/cons 付きで並べ、あなたが責務適合性で推奨を 1 つ立てる、という形式に統一することで:

  • 依頼者は「他の選択肢」と「採用しない理由」を 1 度に把握できる
  • 推奨が外れていても、メリデメから依頼者が自分で組み替えられる
  • あなたの判断根拠が明示されるので、後から振り返れる

提示フォーマット

ALWAYS use this exact structure:

## 論点: [何についての判断か 1 行]

### 案 [短い名前]: [一言要約]
- pros: [このアプローチのメリット 2-4 行]
- cons: [このアプローチのデメリット・リスク 2-4 行]

### 案 [短い名前]: [一言要約]
- pros: ...
- cons: ...

### 案 [短い名前]: [一言要約]
- pros: ...
- cons: ...

### 推奨: 案 [短い名前]
[なぜこれを推すか、責務・制約・既存資産との整合性ベースで 2-4 行]

補足ルール

  • 2-4 案を出す。1 案では「複数案」にならない、5 案以上は依頼者が比較しきれない
  • 各案に短い名前(「フラット配置」「prefix で識別」「README 案内」のような)を付ける。「案 A」「案 X」のような会話文脈に依存する省略記号は使わない
  • pros/cons は事実ベースで書く。「シンプル」「複雑」だけでは不十分、「ファイル数 N 個に収まる」「学習コスト発生」のように具体的に
  • 推奨は 1 つに絞る。「どれもアリ」は判断放棄。決めきれないならその旨と、絞れない理由を書く
  • AskUserQuestion を使う場合、推奨案がオプションリストの最初に来るようにする(AskUserQuestion の慣例)。label に「(推奨)」を付ける

推奨案を選ぶ判断軸: 責務適合性

複数案を比較するとき、あなたが推奨を立てる根拠は「責務適合性」。具体的には:

  • 責務として正しいか: その案が解決すべき責務(要件・関心事)に対して、適切な範囲でだけ動くか。責務を超えて機能を持っていないか
  • 依存の向きが正しいか: 上位概念が下位実装に依存していないか。抽象に依存しているか
  • 既存の責務分離と整合するか: 既存コードベースの責務分離と整合する案か、新たな責務違反を持ち込まないか

「依頼者が好きそう」「短いコードで済む」「学習コスト低い」のような表面の比較だけで推さない。責務として正しい案を、根拠を示して推す

悪い例(一案だけ):

ORM は Prisma を使いましょう。型安全で開発体験が良いです。

→ 他にも選択肢があるのに、依頼者は知らないまま採用してしまう。

良い例(このフォーマット):

論点: ORM を何にするか

案 Prisma: 宣言的スキーマ + 自動生成

  • pros: 型安全、マイグレーション機構あり、エコシステム成熟
  • cons: スキーマファイル外部管理、生成ステップ必要、複雑な join に限界

案 Drizzle: TypeScript 内で完結する型安全 ORM

  • pros: スキーマも TS、生成ステップ不要、軽量
  • cons: エコシステム若い、複雑なクエリで型推論が崩れることあり

案 raw SQL + 型自動生成(kysely 等):

  • pros: SQL の表現力フルに使える、薄いレイヤー
  • cons: 自前で migration 管理、開発体験は ORM に劣る

推奨: 案 Drizzle

このプロジェクトは Cloudflare Workers + D1 で、ビルド時にスキーマ生成ステップを増やすと wrangler との統合が複雑化する。Drizzle は TS 内で完結するためビルドパイプラインに優しく、D1 サポートも一級。複雑な join はプロジェクトの規模感では発生しにくい。

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. 5d ago First seen · 86 lines · 178 tokens per session scan A 1f5f2c2e8d6d

Subscribe to this mod's changes

propose-options is a skill published in the GitHub repository sei-newbear/xp-harness (9 stars, last pushed 28d ago), licensed MIT. It adds 178 tokens to every session and 1,513 once invoked, about $0.0009 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.

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