Fähigkeiten youtube-content-research

📦

youtube-content-research

Name: youtube-content-research
Author: devinchen2014

Inhaltsrevision r1 Mittleres Risiko ⚙️ Externe Befehle🌐 Netzwerkzugriff🔑 Umgebungsvariablen

Research YouTube Content with Focused Video Searches

Content planning requires relevant video samples and traceable evidence. This skill guides SocialDataX searches and organizes results for topic exploration and competitor comparisons.

Unterstützt: Claude Codex Code(CC)

📊 64 Angemessen

Maintain this Skill? Claim it 📊 64 Angemessen

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 "youtube-content-research" from https://skillstore.io/skills/devinchen2014-youtube-content-research.md and its manifest at https://skillstore.io/api/skills/devinchen2014-youtube-content-research/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.

Markdown-Detailseite GET /skills/devinchen2014-youtube-content-research.md Signiertes manifest GET /api/skills/devinchen2014-youtube-content-research/manifest Signiertes lockfile GET /api/skills/devinchen2014-youtube-content-research/lockfile

Testen

„youtube-content-research“ wird verwendet. Find one page of beginner photography videos and explain which results deserve closer review.

Erwartetes Ergebnis:

Illustrative format only; no live search was performed.
Sample entry: returned video title, author, source link or identifier, and publication date when available.
Evidence: describe the visible title or description supporting relevance to beginner photography.
Judgment: explain whether the sample merits closer review without claiming to have watched the video.
Follow-up: narrow the search to camera settings, lighting, or composition.

„youtube-content-research“ wird verwendet. Summarize an interrupted search while preserving the original collection limits.

Erwartetes Ergebnis:

Illustrative format only; no live search was performed.
Status: incomplete results; retain collected samples and the returned error.
Continuation: use a nonempty returned token with the original filters after resolving the error.
Budget: subtract collected pages and items from the original limits before continuing.
Boundary: do not restart automatically when the continuation token is empty.

Sicherheitsaudit

Mittleres Risiko

v1 • 2.11.2026 Versionsbericht öffnen

The 34 static alerts concern Markdown backticks, provider links, declared credential usage, and readable multilingual text rather than demonstrated attacks. A separate medium-severity concern is automatic execution of an unpinned npm package in the credential-bearing runtime. No evidence found of credential exfiltration, destructive operations, or prompt injection in the reviewed files; the external package implementation was not provided.

Gescannte Dateien

100

Analysierte Zeilen

Prüfelemente

Falschmeldungen ignoriert

Bestätigte Sicherheitsbedenken (1)

Mittel

SKILL.md:32-34 SKILL.md:71

Unpinned External Package Execution

The command uses npx -y socialdatax-skills@latest, automatically executing a mutable npm release. The documented runtime also supplies SOCIALDATAX_API_KEY, exposing credentials if the dependency becomes compromised.

The command explicitly selects @latest and skips the installation prompt with -y. This establishes dependency-trust exposure, not evidence that the package is malicious.

Risikofaktoren

⚙️ Externe Befehle (24)

🌐 Netzwerkzugriff (3)

SKILL.md:7 SKILL.md:25 SKILL.md:82

🔑 Umgebungsvariablen (6)

SKILL.md:7 SKILL.md:25 SKILL.md:71 SKILL.md:81 SKILL.md:83 SKILL.md:89

Geprüft von: codex

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

Berichtslink kopieren

https://skillstore.io/skills/devinchen2014-youtube-content-research/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown-Badge

[![Skillstore security assessment](https://skillstore.io/badges/skills/devinchen2014-youtube-content-research/security.svg)](https://skillstore.io/skills/devinchen2014-youtube-content-research?utm_source=security_passport_badge)

HTML-Badge

<a href="https://skillstore.io/skills/devinchen2014-youtube-content-research?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/devinchen2014-youtube-content-research/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Einbettungskarte

<iframe src="https://skillstore.io/embed/skills/devinchen2014-youtube-content-research.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

devinchen2014. (2026). youtube-content-research security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/devinchen2014-youtube-content-research/audits/1

BibTeX-Zitat

@techreport{devinchen2014-devinchen2014-youtube-content-research-2026,
  author = {devinchen2014},
  title = {youtube-content-research security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/devinchen2014-youtube-content-research/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: "youtube-content-research security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "devinchen2014"
date-released: "2026-11-02"
url: "https://skillstore.io/skills/devinchen2014-youtube-content-research/audits/1"
identifiers:
  - type: other
    value: "skillstore:devinchen2014-youtube-content-research:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore-Score

Warum dieser Score Evidenzvertrauen: Mittel

Architektur

Wartbarkeit

Inhalt

Gemeinschaft

Spezifikationskonformität

Was Sie erstellen können

Explore Video Topics

Collect a small set of videos around a proposed topic and identify useful follow-up questions before planning a new video.

Compare Competitor Content

Search brand and competitor keywords, then compare visible titles, authors, and content angles while preserving source links.

Review Recent Content Samples

Filter a topic to recent publication windows and summarize observed themes without presenting a limited sample as a complete market trend.

Diese Prompts ausprobieren

Beginner: Find a Small Sample

Find one page of YouTube videos about [topic]. Show available titles, authors, and links, then suggest two follow-up questions.

Intermediate: Filter Recent Videos

Research [topic] videos published this month and under four minutes. Sort by recency, cap results at 20, and distinguish evidence from interpretation.

Advanced: Compare Two Brands

Compare YouTube search samples for [brand A] and [brand B]. Use identical filters and ten results each. Cite sources and explain sampling limits.

Advanced: Resume Partial Research

Resume this partial YouTube search: [prior query, results, counts, token, limits]. Preserve collected evidence and original filters. Continue only within remaining budgets.

Bewährte Praktiken

Start with one page and focused keywords, then expand only when the initial samples justify more requests.
Keep source links and available metadata, and label interpretations separately from observed evidence.
Use a reviewed, pinned CLI release and keep API credentials out of prompts, reports, and shared logs.

Vermeiden

Treating search samples as exhaustive coverage or proof of audience demand.
Repeating failed searches after insufficient balance or restarting partial searches without checking continuation rules.
Claiming transcript analysis, video viewing, or account actions from a search-only workflow.

Häufig gestellte Fragen

What inputs does the skill accept?

Provide a keyword or topic direction. Optional search settings include publication time, duration, video type, sorting, page count, and item limits.

What setup is required?

Configure SOCIALDATAX_API_KEY for provider access. The direct CLI needs Node.js, npm, and network access; an already configured MCP tool is another documented option.

Can searches incur charges?

Yes, SocialDataX calls may consume account credits. The workflow stops repeated retries for insufficient balance and directs users to the provider billing page.

Does this skill modify my YouTube account?

The documented workflow is read-only. It does not log in, post, like, comment, or change account settings.

Can it retrieve every matching video?

No. Search lacks a stable complete-result boundary. Use page and item limits, and do not assume one empty page means no further results.

What happens when a search returns partial results?

Keep the collected items and error. Resume with a nonempty continuation token and reduced remaining limits after resolving the problem.