dbs-spread
Decode Why Content Resonates and Gets Shared
Audience reactions can be difficult to explain from engagement numbers alone. This skill uses textual evidence and communication theories to explain emotional responses and sharing motives.
Instalar con mi Agente
Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.
Review the Skillstore skill "dbs-spread" from https://skillstore.io/skills/dontbesilent2025-dbs-spread.md and its manifest at https://skillstore.io/api/skills/dontbesilent2025-dbs-spread/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Tu Agente debe seguir mostrando su plan y solicitar cualquier confirmación exigida por la política de seguridad.
Recursos legibles por agentes
Usa estos enlaces cuando un agente de IA, crawler o script necesite contexto limpio en vez de leer la página completa.
Pruébalo
Usando "dbs-spread". Explain this post for junior employees: 'Asking for a clear deadline is responsible, not disrespectful.'
Resultado esperado:
- Core claim: requesting deadline clarity is legitimate professional behavior.
- Primary theory: framing. The contrast between responsible and disrespectful redefines the meaning of asking.
- Emotional hypothesis: readers who fear appearing difficult may feel relief. Their actual reactions require validation.
- Possible sharing motive: communicate a workplace norm to colleagues. Text alone cannot establish whether readers will share.
- Discussion question: how can teams make deadline clarification routine?
Usando "dbs-spread". Analyze why students might save this post: 'Before submitting your essay, check the thesis, citations, and conclusion.'
Resultado esperado:
- Primary theory: uses and gratifications. The checklist provides practical help during essay submission.
- Textual evidence: the three named checks create a reusable review aid.
- Likely use hypothesis: students may save the post for later reference. Confidence is moderate without behavioral data.
- Interpretation limit: practical usefulness does not establish strong emotion, public agreement, or sharing behavior.
- Follow-up topic: which citation mistakes should a submission checklist include?
Auditoría de seguridad
SeguroAll seven static findings are false positives from Markdown formatting, a bibliographic DOI, and readable Chinese text. The files describe content analysis without executable commands or network requests. No evidence found of prompt injection, credential access, or data exfiltration.
Factores de riesgo
⚙️ Comandos externos (3)
🌐 Acceso a red (1)
Compartir y citar este informe
Comparte el informe de evaluación versionado, la insignia neutral, la tarjeta insertable y las citas. Skillstore presenta evidencias sin decidir si este Skill es seguro.
Copiar enlace del informe
https://skillstore.io/skills/dontbesilent2025-dbs-spread/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportInsignia Markdown
[](https://skillstore.io/skills/dontbesilent2025-dbs-spread?utm_source=security_passport_badge)Insignia HTML
<a href="https://skillstore.io/skills/dontbesilent2025-dbs-spread?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dontbesilent2025-dbs-spread/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Tarjeta para insertar
<iframe src="https://skillstore.io/embed/skills/dontbesilent2025-dbs-spread.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Citas académicas (APA · BibTeX · CFF)
Cita APA
dontbesilent2025. (2026). dbs-spread security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dontbesilent2025-dbs-spread/audits/1Cita BibTeX
@techreport{dontbesilent2025-dontbesilent2025-dbs-spread-2026,
author = {dontbesilent2025},
title = {dbs-spread security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dontbesilent2025-dbs-spread/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: "dbs-spread security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "dontbesilent2025"
date-released: "2026-10-17"
url: "https://skillstore.io/skills/dontbesilent2025-dbs-spread/audits/1"
identifiers:
- type: other
value: "skillstore:dontbesilent2025-dbs-spread:audit:1"
description: "Skillstore immutable audit report identifier"
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
Understand Responses to an Existing Post
Identify which passages may activate audience identity or emotions, and distinguish possible sharing motives from unverified assumptions.
Plan Evidence-Based Follow-Up Discussions
Analyze an article and propose related discussion questions that preserve its main psychological mechanism without rewriting the entire piece.
Develop Audience Research Hypotheses
Connect textual evidence to a primary communication theory and list audience responses that interviews or behavioral data must verify.
Prueba estos prompts
Analyze this existing post: [text]. Explain its main audience resonance mechanism using specific passages, and identify what remains uncertain.
Analyze [content] for [audience]. Distinguish watching, saving, commenting, and sharing motives. Use one primary theory and quote supporting passages.
Analyze [article] using one primary theory. Add an auxiliary theory only if necessary. Suggest three follow-up topics that preserve the dominant mechanism.
Analyze [content] with [audience context] and [observed reactions]. Separate facts, inferences, and validation needs. Explain confidence, theoretical limits, and alternative interpretations.
Mejores prácticas
- Provide the original content, intended audience, platform context, and any observed reactions.
- Require specific textual evidence and keep one primary theory unless another explains a distinct mechanism.
- Validate emotional and behavioral hypotheses with comments, interviews, or engagement data before treating them as facts.
Evitar
- Treating theory-based analysis as a guarantee of reach, revenue, or viral performance.
- Stacking theories without textual triggers or a distinct explanatory purpose.
- Equating emotional activation with agreement, or agreement with actual sharing.
Preguntas frecuentes
Which AI tools can use this skill?
What should I provide for analysis?
Can it predict whether my content will go viral?
Which theories does it use?
Will it rewrite my entire article?
Does the skill require external commands or network access?
Detalles del desarrollador
Autor
dontbesilent2025Licencia
MIT
Revisión de Skillstore
r1
Aviso de versión
El autor no declaró una versión.
Repositorio
https://github.com/dontbesilent2025/dbskill/tree/926bcb9ae40f348f080f387b259fee4ec0b75f55/skills/dbs-spreadRef.
022332fc7f9aaa11641d5d8093f00cff26f466b6
Actualidad del mantenimiento
17/10/2026
Uso
0 descargas · 0 vistas
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