Compétences seo-new-keywords-research
📩

seo-new-keywords-research

RĂ©vision du contenu r2 SĂ»r ⚙ Commandes externes🌐 AccĂšs rĂ©seau📁 AccĂšs au systĂšme de fichiers🔑 Variables d’environnement

Research Emerging AI Keywords

New AI products can create search opportunities that are difficult to prioritize. This skill organizes keyword candidates using demand, trends, and competition data.

Prend en charge: Claude Codex Code(CC)
Maintain this Skill? Claim it đŸ„‰ 77 Bronze

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent
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.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Tester

Utilisation de « seo-new-keywords-research ». Research keywords for a new AI image detector.

Résultat attendu:

The skill identifies candidate product names, provides an estimated lookup cost, and asks for approval before running the research.

Utilisation de « seo-new-keywords-research ». Summarize the returned keyword priorities.

Résultat attendu:

  • AI image detector: watch. The estimated demand is small and the available trend data is limited.
  • Product name: prioritize. Recent interest is rising, but the branded term may fade quickly.

Audit de sécurité

Sûr
v2 ‱ 27/10/2026 Ouvrir le rapport versionnĂ©

Most detections are Markdown formatting, documentation links, or keyword terminology rather than malicious commands. The workflow executes an external package with paid API credentials, but its implementation was not included in the review.

1
Fichiers analysés
69
Lignes analysées
7
ÉlĂ©ments Ă  examiner
0
Faux positifs ignorés
ÉlĂ©ments d’évaluation des capacitĂ©s (7)

Il s’agit de capacitĂ©s locales rĂ©elles qui peuvent ĂȘtre attendues pour cette compĂ©tence ; elles nĂ©cessitent donc un examen, mais ne sont pas comptabilisĂ©es comme comportement malveillant confirmĂ©.

ÉlevĂ©
Hidden file in home directory
3. An AIsa key must be available, as `AISA_API_KEY` or from the AIsa CLI (`aisa login` stores it in
The instructions allow the external CLI to use a credential stored in ~/.aisa; the reviewed file does not establish how the package handles it.
ÉlevĂ©
Generic API/secret keys
3. An AIsa key must be available, as `AISA_API_KEY` or from the AIsa CLI (`aisa login` stores it in
The third-party CLI is configured with an API credential; its handling and network destinations cannot be verified from this file.
ÉlevĂ©
Generic API/secret keys
4. `GOANYAPI_API_KEY` is optional (a key comes from https://goanyapi.com/r/ga-95708898fb). With it t
The third-party CLI is configured with an API credential; its handling and network destinations cannot be verified from this file.
Moyen
Ruby/shell backtick execution
1. Run the pinned release, never a clone of the repository: `uvx new-term-radar==0.6.0 <command> ...
The instructions execute a pinned third-party PyPI package; its implementation was not included in the reviewed files.
Moyen
Ruby/shell backtick execution
```bash
The instructions execute a pinned third-party PyPI package; its implementation was not included in the reviewed files.
Moyen
Ruby/shell backtick execution
```
The instructions execute a pinned third-party PyPI package; its implementation was not included in the reviewed files.
Moyen
Hidden file access
3. An AIsa key must be available, as `AISA_API_KEY` or from the AIsa CLI (`aisa login` stores it in
The instructions allow the external CLI to use a credential stored in ~/.aisa; the reviewed file does not establish how the package handles it.
Partager et citer ce rapport

Partagez le rapport d’évaluation versionnĂ©, le badge neutre, la carte intĂ©grable et les citations. Skillstore prĂ©sente les preuves sans dĂ©cider si ce Skill est sĂ»r.

Ouvrir le rapport versionné
Évaluation de sĂ©curitĂ©

Copier le lien du rapport

https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Badge Markdown

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Badge HTML

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Carte intégrable

<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>
Citations académiques (APA · BibTeX · CFF)

Citation APA

zhuyansen. (2026). seo-new-keywords-research security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/2

Citation BibTeX

@techreport{zhuyansen-zhuyansen-seo-new-keywords-research-2026, author = {zhuyansen}, title = {seo-new-keywords-research security audit report (audit version 2)}, institution = {Skillstore}, year = {2026}, number = {2}, url = {https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/2}, 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 2)" version: "unspecified" type: report authors: - name: "zhuyansen" date-released: "2026-10-27" url: "https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/2" identifiers: - type: other value: "skillstore:zhuyansen-seo-new-keywords-research:audit:2" description: "Skillstore immutable audit report identifier"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen
55
Architecture
85
Maintenabilité
85
Contenu
65
Communauté
83
Conformité aux spécifications

Ce que vous pouvez créer

Prioritize content topics

Compare emerging product names with related generic search terms before planning articles.

Assess product opportunities

Review demand, market data, and search competition for possible tools.

Investigate market signals

Extract new AI names from release notes or listening reports and rank their keywords.

Essayez ces prompts

Research one name
Research keywords for [AI product]. Estimate the cost and wait for my approval.
Compare product names
Compare keywords for [name one] and [name two]. Include generic terms and explain each decision.
Analyze a market report
Extract up to five recent AI product names from [text]. Tell me which names you selected and estimate the research cost.
Plan search opportunities
Research [names] and [repository mappings]. Compare relevant markets, page-one competition, and existing site actions when available.

Bonnes pratiques

  • Provide specific product names or source text with recent release context.
  • Approve the estimated paid lookup cost before starting the external command.
  • Review source failures, branded terms, and estimate quality before making decisions.

Éviter

  • Treat estimated search volume as an exact count.
  • Assume a brief product-name spike represents lasting generic demand.
  • Treat missing source data as proof that a market has no demand.

Foire aux questions

What input does the skill accept?
It accepts AI product, model, tool, or repository names, as well as text mentioning them.
Does research cost money?
Yes. The skill estimates paid lookup costs and asks for approval before running.
Which credentials are needed?
An AIsa API key is required. A GoAnyAPI key is optional and adds research data.
How many names can be researched?
The instructions select at most five names for one research call.
Are search volume numbers exact?
No. The reported daily demand is an estimate, and volume data can lag by about two months.
Can the skill guarantee search rankings?
No. It reports available demand and competition signals, but rankings and outcomes are not guaranteed.

Détails du développeur

Auteur

zhuyansen

Licence

MIT

Révision Skillstore

r2

Avis de version

L’auteur n’a dĂ©clarĂ© aucune version.

Réf

1ac96f2048361bd348a3f97a5370c8f3f4c494c1

Récence de maintenance

27/10/2026

Utilisation

6 téléchargements · 0 vues

Structure de fichiers

📄 SKILL.md

Autres compétences de zhuyansen

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