karpathy-guidelines
Write Clearer Code with Focused Guidelines
AI coding work can become overcomplicated, unfocused, or difficult to verify. This skill promotes explicit assumptions, minimal changes, and measurable success criteria.
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "karpathy-guidelines" from https://skillstore.io/skills/multica-ai-karpathy-guidelines.md and its manifest at https://skillstore.io/api/skills/multica-ai-karpathy-guidelines/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「karpathy-guidelines」を使用しています。 Add email validation to the existing registration flow.
期待される結果:
- Assumption: validation should follow the existing form error pattern.
- Scope: update the email validation path and its focused tests only.
- Success: valid addresses pass, invalid addresses show the expected error, and existing tests remain green.
「karpathy-guidelines」を使用しています。 Refactor the notification service.
期待される結果:
- Clarification needed: specify the behavior or maintenance problem the refactor must address.
- Preserve current notification behavior and capture it with tests before editing.
- Avoid new abstractions unless they remove duplication required by the stated goal.
「karpathy-guidelines」を使用しています。 Fix the duplicate invoice bug.
期待される結果:
- First reproduce duplicate creation with a focused failing test.
- Trace the smallest execution path that can create the second invoice.
- The fix is complete when the reproduction passes and related invoice tests remain green.
セキュリティ監査
安全All four static findings are false positives caused by documentation text, a Markdown code fence, and an attribution link. No executable commands, network requests, system reconnaissance, or prompt injection attempts were found.
リスク要因
⚙️ 外部コマンド (1)
🌐 ネットワークアクセス (1)
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/multica-ai-karpathy-guidelines/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/multica-ai-karpathy-guidelines?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/multica-ai-karpathy-guidelines?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/multica-ai-karpathy-guidelines/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/multica-ai-karpathy-guidelines.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
multica-ai. (2026). karpathy-guidelines security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/multica-ai-karpathy-guidelines/audits/1BibTeX形式の引用
@techreport{multica-ai-multica-ai-karpathy-guidelines-2026,
author = {multica-ai},
title = {karpathy-guidelines security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/multica-ai-karpathy-guidelines/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "karpathy-guidelines security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "multica-ai"
date-released: "2026-08-26"
url: "https://skillstore.io/skills/multica-ai-karpathy-guidelines/audits/1"
identifiers:
- type: other
value: "skillstore:multica-ai-karpathy-guidelines:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
Plan a Focused Implementation
Define assumptions, scope, and verification before changing an existing feature.
Review an AI-Generated Patch
Check whether each change supports the request and avoids unnecessary refactoring.
Clarify a Complex Coding Request
Convert an ambiguous request into explicit decisions and measurable outcomes.
これらのプロンプトを試す
Apply the Karpathy Guidelines to this task: {task}. State assumptions, identify ambiguity, and define a simple success criterion before proposing changes.Plan the implementation for {task} in {project_context}. Keep the scope narrow and pair every step with a concrete verification check.Review this patch description: {patch}. Identify unrelated changes, hidden assumptions, unnecessary abstractions, and missing verification. Recommend only changes required by {request}.For the refactor of {component}, define preserved behavior, pre-change checks, minimal edits, and post-change checks. Surface tradeoffs and reject speculative improvements.ベストプラクティス
- Provide the request, relevant project context, and existing constraints.
- Ask for assumptions and verification criteria before implementation begins.
- Compare the final changes against the original request line by line.
回避
- Do not use the guidelines to avoid reasonable progress on well-defined tasks.
- Do not request broad cleanup while claiming the change is narrowly scoped.
- Do not treat guideline compliance as a substitute for tests or expert review.
よくある質問
What does this skill change?
Does the skill edit code automatically?
Can I use it for code review?
Is it suitable for large projects?
Will it prevent every coding mistake?
Why can the approach feel slower?
開発者情報
作成者
multica-aiライセンス
MIT
Skillstore リビジョン
r1
バージョンに関する注意
作者はバージョンを宣言していません。
参照
f1dbc1c1b6e8b1818b478bdfb1edcbf468d75bc0
メンテナンスの新しさ
2026/8/26
利用状況
0 ダウンロード · 0 閲覧
ファイル構成
📄 SKILL.md