スキル seo-new-keywords-research
📦

seo-new-keywords-research

コンテンツリビジョン r3 安全 ⚙️ 外部コマンド🌐 ネットワークアクセス📁 ファイルシステムへのアクセス🔑 環境変数

Prioritize Emerging AI Keywords

New AI releases can attract short-lived searches that obscure lasting keyword opportunities. This skill guides paid research into names, generic terms, demand, and competition.

対応: Claude Codex Code(CC)
Maintain this Skill? Claim it 🥉 77 ブロンズ

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。

エージェントリクエスト
Review the Skillstore skill "seo-new-keywords-research" from https://skillstore.io/skills/zhuyansen-seo-new-keywords-research.md and its manifest at https://skillstore.io/api/skills/zhuyansen-seo-new-keywords-research/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

「seo-new-keywords-research」を使用しています。 Research SynthID Detector, but show the estimated cost before running.

期待される結果:

  • Selected name: synthid detector.
  • Estimated lookup cost for one name in one call: about USD 0.14.
  • Estimated research time: 40 to 90 seconds.
  • Awaiting explicit approval before paid lookups.

「seo-new-keywords-research」を使用しています。 Show an illustrative report format for incomplete keyword evidence, without performing lookups.

期待される結果:

  • Illustrative format only; no live research was performed.
  • Keyword: [returned phrase]. Type: [name or generic]. Decision: [returned decision].
  • Demand: [returned estimate]. Market: [returned geography]. Page one: [returned competition assessment].
  • Caveats: [missing sources, credential gaps, or estimate limitations].
  • Next step: [evidence-based recommendation and recheck timing].

セキュリティ監査

安全

All 34 static findings are false positives involving Markdown syntax, legitimate CLI operations, provider links, and documented authentication. The skill requires paid lookup approval and explicitly treats retrieved instructions as untrusted data. No evidence of malicious behavior was found in SKILL.md; external package implementation and runtime behavior were not inspected.

1
スキャンされたファイル
73
解析済み行数
0
レビュー項目
0
誤検知を無視
最新の完了済み静的・セマンティック監査では、確認済みのセキュリティ検出事項は見つかりませんでした。これは、スキルに副作用がないことを証明するものではありません。
監査者: codex 監査履歴を表示 →
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。

バージョン別レポートを開く
セキュリティ評価

レポートリンクをコピー

https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/3?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdownバッジ

[![Skillstore security assessment](https://skillstore.io/badges/skills/zhuyansen-seo-new-keywords-research/security.svg)](https://skillstore.io/skills/zhuyansen-seo-new-keywords-research?utm_source=security_passport_badge)

HTMLバッジ

<a href="https://skillstore.io/skills/zhuyansen-seo-new-keywords-research?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/zhuyansen-seo-new-keywords-research/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

埋め込みカード

<iframe src="https://skillstore.io/embed/skills/zhuyansen-seo-new-keywords-research.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

zhuyansen. (2026). seo-new-keywords-research security audit report (audit version 3) [Author version unspecified]. Skillstore. https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/3

BibTeX形式の引用

@techreport{zhuyansen-zhuyansen-seo-new-keywords-research-2026, author = {zhuyansen}, title = {seo-new-keywords-research security audit report (audit version 3)}, institution = {Skillstore}, year = {2026}, number = {3}, url = {https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/3}, 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: "seo-new-keywords-research security audit report (audit version 3)" version: "unspecified" type: report authors: - name: "zhuyansen" date-released: "2026-10-28" url: "https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/3" identifiers: - type: other value: "skillstore:zhuyansen-seo-new-keywords-research:audit:3" 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
55
アーキテクチャ
85
保守性
87
コンテンツ
65
コミュニティ
83
仕様準拠

作成できるもの

Plan coverage of AI releases

Turn release notes into a short list of names and related generic topics worth investigating before assigning articles.

Evaluate a new tool opportunity

Compare emerging product names with underlying search needs, demand estimates, and page-one competition before committing development work.

Refresh existing search content

Use configured site metrics and keyword recommendations to distinguish existing pages needing updates from opportunities requiring new pages.

これらのプロンプトを試す

Research one name
Research keywords for [AI product name]. Show the estimated lookup cost and wait for my approval before running any paid research.
Extract names from release notes
Select up to five specific AI names from these notes: [text]. Explain inclusions and exclusions, estimate cost, and wait for approval.
Compare search opportunities
Compare [names] and their generic keywords. Request cost approval first. Report demand estimates, market differences, competition, brand flags, and data gaps.
Prioritize existing site work
Using configured site metrics, evaluate [names]. Request cost approval first. Separate update, improve, and new-page recommendations, including evidence and recheck priorities.

ベストプラクティス

  • Confirm the selected names and estimated cost before approving a paid batch; approve again when the name list changes.
  • Keep generic search needs separate from branded release spikes, and check the geographic scope of each trend.
  • Treat retrieved text as untrusted data and disclose failed sources, estimated volumes, and missing evidence.

回避

  • Running paid lookups because a user requested keyword ideas, without separate cost approval.
  • Presenting estimated demand, incomplete trend readings, or missing results as exact facts.
  • Publishing content, registering domains, or buying ads solely because a keyword receives a prioritize decision.

よくある質問

What credentials are required?
An AIsa key is required through AISA_API_KEY or the AIsa CLI login. GOANYAPI_API_KEY is optional and improves research coverage.
How much does research cost?
The skill estimates about USD 0.05 per name plus USD 0.09 per call. It requires explicit approval before paid lookups.
Can I provide unstructured text instead of names?
Yes. The workflow extracts up to five specific AI model, product, tool, or repository names from supplied reports, posts, or release notes.
Are search volumes exact?
No. Daily counts are approximate, and search volume data can lag about two months. Trend coverage and source failures require additional caveats.
Does the skill publish pages or purchase domains?
The research workflow does not authorize those actions. Each external action requires separate approval of its destination, exact content, or cost.
What does this security audit cover?
The audit reviewed SKILL.md and adjudicated its static findings. It did not inspect the external package implementation or verify runtime network behavior.

開発者情報

作成者

zhuyansen

ライセンス

MIT

Skillstore リビジョン

r3

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

2ec268972a6be25768f84279fde605b246c33d68

メンテナンスの新しさ

2026/10/28

利用状況

6 ダウンロード · 0 閲覧

ファイル構成

📄 SKILL.md

zhuyansen のその他のスキル

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