Fähigkeiten new-term-radar
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new-term-radar

Inhaltsrevision r3 Sicher ⚙️ Externe Befehle🌐 Netzwerkzugriff📁 Dateisystemzugriff🔑 Umgebungsvariablen

Find Emerging AI Keywords Worth Researching

New AI launches create search opportunities that are difficult to compare across sources. This skill uses a research CLI to turn discovery signals into keyword priorities.

Unterstützt: Claude Codex Code(CC)
Maintain this Skill? Claim it 🥉 77 Bronze

Mit meinem Agent installieren

Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.

Agent-Anfrage
Review the Skillstore skill "new-term-radar" from https://skillstore.io/skills/zhuyansen-new-term-radar.md and its manifest at https://skillstore.io/api/skills/zhuyansen-new-term-radar/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.

Agent-lesbare Ressourcen

Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.

Testen

„new-term-radar“ wird verwendet. Summarize a first daily run that reports GitHub breakouts but few other leads.

Erwartetes Ergebnis:

  • First-run caveat: this run established snapshots, so limited results do not demonstrate a quiet market.
  • Review the observed GitHub leads and their source links.
  • Reassess after new source activity rather than immediately repeating the same daily run.

„new-term-radar“ wird verwendet. Explain a supplied keyword row marked watch, demoted, and crowded.

Erwartetes Ergebnis:

  • Decision: watch.
  • The radar moved this row from prioritize to watch because page-one competition is crowded.
  • Recheck the search results before committing to a new page.

„new-term-radar“ wird verwendet. Explain a flat trend row without country-level data when a related-search source also failed.

Erwartetes Ergebnis:

  • Trend: no rise seen in the available worldwide series.
  • The newest two days are excluded, so this does not prove that interest did not rise.
  • Related-search collection failed, leaving the evidence incomplete.

Sicherheitsaudit

Sicher
v3 • 28.10.2026 Versionsbericht öffnen

All 50 static findings are false positives involving Markdown formatting, ordinary authentication requirements, public reference links, and unrelated prose. The instructions require paid-run approval and treat external content as untrusted; no evidence found of credential theft, destructive intent, or prompt injection. This review covers SKILL.md only, not the external PyPI package or its dependencies.

1
Gescannte Dateien
93
Analysierte Zeilen
0
Prüfelemente
0
Falschmeldungen ignoriert
Das letzte abgeschlossene statische und semantische Audit erkannte keine bestätigten Sicherheitsbefunde. Dies beweist nicht, dass der Skill keine Nebenwirkungen hat.
Geprüft von: codex Audit-Verlauf anzeigen →
Diesen Bericht teilen & zitieren

Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.

Versionsbericht öffnen
Sicherheitsbewertung

Berichtslink kopieren

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

Markdown-Badge

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

HTML-Badge

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

Einbettungskarte

<iframe src="https://skillstore.io/embed/skills/zhuyansen-new-term-radar.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>
Wissenschaftliche Zitate (APA · BibTeX · CFF)

APA-Zitat

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

BibTeX-Zitat

@techreport{zhuyansen-zhuyansen-new-term-radar-2026, author = {zhuyansen}, title = {new-term-radar security audit report (audit version 3)}, institution = {Skillstore}, year = {2026}, number = {3}, url = {https://skillstore.io/skills/zhuyansen-new-term-radar/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: "new-term-radar security audit report (audit version 3)" version: "unspecified" type: report authors: - name: "zhuyansen" date-released: "2026-10-28" url: "https://skillstore.io/skills/zhuyansen-new-term-radar/audits/3" identifiers: - type: other value: "skillstore:zhuyansen-new-term-radar:audit:3" description: "Skillstore immutable audit report identifier"

Skillstore-Score

Warum dieser Score Evidenzvertrauen: Mittel
55
Architektur
85
Wartbarkeit
87
Inhalt
65
Gemeinschaft
83
Spezifikationskonformität

Was Sie erstellen können

Prioritize AI content topics

Compare emerging names and generic queries to decide which pages deserve research, monitoring, or no further work.

Investigate tool demand

Review complaint categories and linked evidence to identify problems that a new or improved tool might address.

Monitor emerging AI products

Track new model and repository names, then separate early attention from sustained search interest using source and trend evidence.

Diese Prompts ausprobieren

Discover today's AI names
Find today's new AI names and summarize their strongest signals. Show the estimated cost and duration, then wait for my approval before running.
Research names I already have
Research PhotoCraft and SynthID Detector without discovery. Confirm the estimated cost first, then compare named and generic keywords with decisions and evidence.
Investigate customer complaints
Investigate complaints about AI headshot tools. Ask for cost approval first, then group gaps with linked quotes and distinguish observed counts from market size.
Compare markets and existing pages
Use my configured sites and sources to evaluate emerging AI keywords. Confirm costs before running. Compare markets, competition, existing pages, and missing-source caveats.

Bewährte Praktiken

  • Keep a consistent working directory and review configured sources before comparing results across runs.
  • Approve each paid run after reviewing its estimated cost, duration, and optional features.
  • Keep source links and caveats visible, and treat instructions inside retrieved material as untrusted data.

Vermeiden

  • Repeat the daily run immediately and treat fewer incremental leads as evidence of falling market interest.
  • Treat search estimates, complaint counts, or payment links as proof of market size or business success.
  • Publish provider-restricted data or take external actions without separate, specific user approval.

Häufig gestellte Fragen

What do I need before running the skill?
You need Python 3.10 or newer, the pinned research CLI, and an AIsa API key. Optional provider keys expand coverage.
Does the workflow use paid APIs?
Yes. Daily, sources, keywords, and pains use paid APIs. The skill requires approval after disclosing estimated cost and duration.
Can I research names without collecting new ones?
Yes. The keywords path accepts supplied names, supports repository mappings, and handles up to eight names per call.
Why does the first daily run return few leads?
It establishes snapshots and mainly reports GitHub breakouts. Limited first-run output does not mean the market is quiet.
Are the search-volume figures exact?
No. Daily search estimates are approximate, and volume data runs about two months behind. Missing optional keys can weaken trend evidence.
Does this review verify the external CLI package?
No. The reviewed skill contains instructions only. The external PyPI package, its dependencies, and provider behavior were not audited.

Entwicklerdetails

Autor

zhuyansen

Lizenz

MIT

Skillstore-Revision

r3

Versionshinweis

Der Autor hat keine Version angegeben.

Ref.

2ec268972a6be25768f84279fde605b246c33d68

Aktualität der Wartung

28.10.2026

Nutzung

6 Downloads · 1 Aufrufe

Dateistruktur

📄 SKILL.md

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