Borrowing it
Nothing to install: this file belongs to reinhardhq/claude-code-spec-boilerplate. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/reinhardhq/claude-code-spec-boilerplate/main/.claude/commands/biz:compete.mdgit clone --depth 1 https://github.com/reinhardhq/claude-code-spec-boilerplateWrote 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/commands/reinhardhq/claude-code-spec-boilerplate/biz-compete)<a href="https://agentmods.dev/commands/reinhardhq/claude-code-spec-boilerplate/biz-compete"><img src="https://agentmods.dev/badge/commands/reinhardhq/claude-code-spec-boilerplate/biz-compete/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/commands/reinhardhq/claude-code-spec-boilerplate/biz-compete"><img src="https://agentmods.dev/badge/commands/reinhardhq/claude-code-spec-boilerplate/biz-compete.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 | $0.00025 | $0.02656 |
| Opus 5 | $0.00013 | $0.01328 |
| Sonnet 5 | $0.00005 | $0.00531 |
| Haiku 4.5 | $0.00003 | $0.00266 |
Grade A, and why
biz:compete 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 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.
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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Competition Analyzer
複数の事業仕様を収益性、実現性、成長性、社会性などの観点から比較スコアリングし、データドリブンな意思決定を支援します。
入力パラメータ:
- 事業案リスト: $SPECS (複数の事業案の説明)
- 評価観点: $PERSPECTIVE (収益性/実現性/成長性/社会性)
Context Check
Existing Specs
- 既存の仕様書: !
[ -d .kiro/specs ] && find .kiro/specs -name "spec.json" -exec echo "Found: {}" \; | head -5 || echo "No existing specs" - 評価履歴: !
[ -f .kiro/evaluations.json ] && cat .kiro/evaluations.json | head -20 || echo "No previous evaluations"
Task: 多面的な事業案比較
1. 事業案の解析と正規化
A. 各事業案の要素抽出
入力から各事業案について以下を抽出：
- 事業概要: コアとなる価値提案
- ターゲット市場: 顧客セグメントと規模
- ビジネスモデル: 収益構造
- 必要リソース: 人材、資金、技術
- 想定リスク: 主要な課題
B. 比較可能な形式への変換
- 定量的指標への変換
- 仮定条件の明確化
- 不足情報の推定と明記
2. 評価観点別の詳細基準
A. 収益性評価
-
収益規模
- TAM/SAM/SOM分析
- 3年後の想定売上
- 5年後の成長予測
-
収益性指標
- 粗利率の想定
- 営業利益率
- ROI期待値
-
キャッシュフロー
- 初期投資額
- 損益分岐点
- 投資回収期間
B. 実現性評価
-
技術的実現性
- 必要技術の成熟度
- 開発リスク
- 技術的優位性
-
組織的実現性
- 必要人材の確保可能性
- 組織能力とのフィット
- 実行スピード
-
市場実現性
- 顧客受容性
- 規制対応
- 競合環境
C. 成長性評価
-
市場成長性
- 市場成長率
- 新市場創造可能性
- グローバル展開余地
-
事業拡張性
- 横展開の可能性
- プラットフォーム化
- ネットワーク効果
-
持続的優位性
- 参入障壁の高さ
- スイッチングコスト
- ブランド構築可能性
D. 社会性評価
-
社会的インパクト
- SDGs貢献度
- 社会課題解決度
- ステークホルダー価値
-
持続可能性
- 環境負荷
- 長期的な社会貢献
- ESG評価
-
倫理的側面
- プライバシー配慮
- 公平性
- 透明性
3. スコアリング手法
A. 重み付けマトリクス
各評価項目に対する重み付け：
- 選択された観点を最重視（40%）
- 関連観点を考慮（各20%）
- バランススコアの算出
B. 相対評価と絶対評価
- 案同士の相対比較
- 業界ベンチマークとの比較
- 理想的な基準との比較
4. リスク調整
A. リスク要因の定量化
- 実行リスク
- 市場リスク
- 競合リスク
- 規制リスク
B. リスク調整後スコア
- 基本スコア × (1 - リスク係数)
- センシティビティ分析
5. 推奨案の選定
A. 総合評価
- 多角的視点での統合
- トレードオフの明確化
- 条件付き推奨の検討
B. 実行ロードマップ
- 選定案の具体化
- 次のアクション
- マイルストーン設定
Output: 比較評価結果
🥊 事業案コンペティション (評価観点: $PERSPECTIVE)
📋 評価対象の事業案
[入力された各事業案の簡潔な要約]
🎯 評価基準と重み付け
主要評価観点: $PERSPECTIVE
- 重み付け: 40%
- 評価基準: [具体的な評価軸]
補助評価観点
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.
- 11d ago First seen · 283 lines · 25 tokens per session scan A 74dbe0d79aff
biz:compete is a command published in the GitHub repository reinhardhq/claude-code-spec-boilerplate (2 stars, last pushed 1y ago), licensed MIT. It adds 25 tokens to every session and 2,656 once invoked, about $0.0001 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.