tieba-demand-insights
Analyze Tieba Discussions for Product Needs
Product teams need traceable evidence behind scattered Tieba complaints and purchase questions. This skill guides bounded SocialDataX retrieval and organizes discussions into source-backed demand reports.
Mit meinem Agent installieren
Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.
Review the Skillstore skill "tieba-demand-insights" from https://skillstore.io/skills/devinchen2014-tieba-demand-insights.md and its manifest at https://skillstore.io/api/skills/devinchen2014-tieba-demand-insights/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
„tieba-demand-insights“ wird verwendet. Illustrative supplied sample: Post A says, 'The fan is too loud at night.' Summarize the product need.
Erwartetes Ergebnis:
- Theme: Noise during nighttime use.
- Evidence: 'The fan is too loud at night.' Source: supplied Post A.
- Candidate action: Investigate nighttime noise expectations.
- Boundary: One illustrative statement; frequency and wider demand are unknown.
„tieba-demand-insights“ wird verwendet. Illustrative supplied sample: Post B asks, 'Does the battery last a full workday?' Comments are unavailable. Identify the purchase concern.
Erwartetes Ergebnis:
- Purchase concern: Battery endurance during a workday.
- Evidence: 'Does the battery last a full workday?' Source: supplied Post B.
- FAQ candidate: What battery life should buyers expect during typical work?
- Boundary: This is a question, not evidence of battery failure; no comment evidence is available.
Sicherheitsaudit
Mittleres RisikoAll 39 static alerts are false positives involving Markdown, documented authentication, provider links, discussion identifiers, or readable multilingual text. One semantic finding concerns automatic execution of an unpinned npm package that can access the configured API key. No evidence found of prompt injection, credential theft, or destructive instructions in the supplied files; the external package implementation was not reviewed.
Bestätigte Sicherheitsbedenken (1)
Risikofaktoren
⚙️ Externe Befehle (25)
🌐 Netzwerkzugriff (3)
🔑 Umgebungsvariablen (6)
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.
Berichtslink kopieren
https://skillstore.io/skills/devinchen2014-tieba-demand-insights/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown-Badge
[](https://skillstore.io/skills/devinchen2014-tieba-demand-insights?utm_source=security_passport_badge)HTML-Badge
<a href="https://skillstore.io/skills/devinchen2014-tieba-demand-insights?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/devinchen2014-tieba-demand-insights/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Einbettungskarte
<iframe src="https://skillstore.io/embed/skills/devinchen2014-tieba-demand-insights.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). tieba-demand-insights security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/devinchen2014-tieba-demand-insights/audits/1BibTeX-Zitat
@techreport{devinchen2014-devinchen2014-tieba-demand-insights-2026,
author = {devinchen2014},
title = {tieba-demand-insights security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/devinchen2014-tieba-demand-insights/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: "tieba-demand-insights security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "devinchen2014"
date-released: "2026-11-02"
url: "https://skillstore.io/skills/devinchen2014-tieba-demand-insights/audits/1"
identifiers:
- type: other
value: "skillstore:devinchen2014-tieba-demand-insights:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore-Score
Warum dieser Score Evidenzvertrauen: MittelWas Sie erstellen können
Identify Product Improvement Candidates
Review a bounded set of relevant discussions to connect recurring complaints with usage scenarios and supporting quotations.
Prepare Purchase-Concern Messaging
Collect pre-purchase questions from a named forum and distinguish unanswered concerns from firsthand product experiences.
Draft Evidence-Backed Support FAQs
Read selected posts and comment threads to organize common questions, evidence gaps, and candidate support topics.
Diese Prompts ausprobieren
Research Tieba discussions about [product keyword]. Start with one search page and select up to three relevant posts. Summarize pain points with quotations and source references.
Analyze [Tieba post URL or ID] and its comments. Add nested replies only where needed. Separate firsthand experiences, questions, and secondhand statements. Cite each reported concern.
Research [product] in [forum name] using [keywords]. Limit collection to [page limit] pages and [item limit] items. Group purchase concerns and FAQs. Deduplicate repeated statements. Report evidence strength and missing information.
Investigate [research question] across [named forums] using [keywords]. Confirm scope and collection limits first. Separate product needs, usage scenarios, and purchase concerns. Cite quotations and available post and comment IDs. Distinguish observations from proposed actions. Preserve partial results and resume only within remaining limits. Report sample counts, duplicate handling, and unresolved evidence gaps.
Bewährte Praktiken
- Define the product, forum scope, and collection limits before retrieval; begin with one page and a few relevant discussions.
- Keep quotations and source identifiers with each theme; report sample counts, duplicate handling, and evidence gaps.
- Use a reviewed, pinned CLI version and protect the API key; approve dependency changes before execution.
Vermeiden
- Treating sample mention counts as population percentages or counting repeated statements as independent demand.
- Presenting questions, secondhand claims, or analyst interpretations as verified firsthand product failures.
- Collecting entire forums automatically or inferring sensitive identities from discussion content.
Häufig gestellte Fragen
What inputs can I provide?
What setup does live retrieval require?
Does retrieval require account credits?
Can this skill post or modify my Tieba account?
How are conclusions supported?
Does read-only research mean local execution is risk-free?
Entwicklerdetails
Autor
devinchen2014Lizenz
Unbekannt
Skillstore-Revision
r1
Versionshinweis
Der Autor hat keine Version angegeben.
Ref.
2d821629d9cf6def5fbc40718bb2420c989b2ca6
Aktualität der Wartung
2.11.2026
Nutzung
0 Downloads · 0 Aufrufe
Dateistruktur