Los equipos sociales necesitan ideas, textos, imágenes y videos listos para cada plataforma a un ritmo constante. Esta skill proporciona flujos de trabajo estructurados de inference.sh para crear y reutilizar contenido social.
이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.
에이전트 요청
Review the Skillstore skill "ai-social-media-content" from https://skillstore.io/skills/inference-sh-9-ai-social-media-content.md and its manifest at https://skillstore.io/api/skills/inference-sh-9-ai-social-media-content/manifest. Verify the artifact. Do not auto-install. Inspect the skill and report your findings, then wait for an operator or manual installation decision.
에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.
에이전트가 읽기 쉬운 리소스
AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.
Most static external-command hits were Markdown fence noise or intended inference.sh examples, but several real risks remain. The skill includes a critical curl-to-shell installer, many external cloud CLI calls, remote skill installation examples, and a Twitter/X posting workflow that requires explicit user approval.
curl -fsSL https://cli.inference.sh | sh && infsh login
The command uses curl to download an installer and pipes it directly to sh. This executes remote code without local review and should block automatic publication.
The skill includes a Twitter/X workflow that posts text and media through twitter/post-tweet. This can publish content externally if an agent runs it without explicit user approval.
Lines 76-80 explicitly label Twitter automation and call a posting app with post text and media. The risk is contextual because posting depends on account authorization and user intent.
기능 검토 항목 (17)
이 스킬에 대해 예상될 수 있는 실제 로컬 기능이므로 검토가 필요하지만, 확인된 악의적 동작으로는 집계되지 않습니다.
The range contains a shell example that fetches an installer with curl and pipes it to sh before login. Executing a remote script without inspection is a real code execution risk.
curl -fsSL https://cli.inference.sh | sh && infsh login
The URL is fetched by curl and piped directly into sh, causing remote content to execute locally. This is a high-impact installation pattern even if the service is legitimate.
The related skills section uses npx skills add commands to install additional remote skills. Installing more skills from an external source is a supply-chain and permission expansion risk.
The code block runs infsh app run against a third-party video model and sends prompt content externally. This is intended behavior, but it is real external command and network activity.
The carousel workflow uses a shell loop to call infsh repeatedly and write JSON output files. This is legitimate functionality, but it is real external command execution with local file output.
The thumbnail workflow invokes infsh app run against an external image model. The command is expected for the skill, but it sends prompt data to a third-party service.
The range contains infsh commands that generate a visual and call twitter/post-tweet with text and media. This can publish externally through a connected account.
The talking head workflow calls external text, speech, and avatar generation apps and writes outputs to files. This is intended, but it transmits content and asset URLs to third-party services.
The example runs infsh app run for an external video generation model. The command is purposeful, but it is real external command execution and data transfer.
The tutorial workflow invokes infsh app run for external video generation. This is legitimate for the skill, but it sends prompt content to a third-party service.
The product showcase workflow calls an external video generation app through infsh. It is intended use, but it performs external command and network activity.
The behind-the-scenes example calls infsh app run for an external video model. The text is benign, but the command is still external execution with network transfer.
The caption workflow runs infsh against an OpenRouter Claude model and sends prompt text to an external service. This is real external command and network behavior.
The hook generation example runs infsh against an external text model. It is expected for the skill, but it transfers prompt content to a third-party service.
The multi-platform workflow defines a shell variable and uses it in multiple infsh commands. It is a real shell workflow that sends content to external generation services.
The batch workflow loops over topics, calls infsh repeatedly, and writes output files. This is real external command execution and local file creation.
Crea conceptos de video vertical, prompts, captions y hashtags para TikTok, Reels o Shorts.
Reutilizar recursos de campaña
Convierte una idea de campaña en formatos de imagen, video, miniatura y caption para múltiples canales.
Crear contenido de lanzamiento de producto
Genera prompts de presentación de producto, conceptos de carrusel y captions de lanzamiento con un estilo de marca consistente.
이 프롬프트를 사용해 보세요
Crear una publicación
Crea un concepto de Instagram Reel para mi tema. Incluye el hook, la dirección visual, el caption y diez hashtags relevantes.
Redactar un guion de video
Escribe un guion de TikTok de 30 segundos para mi audiencia. Incluye beats de escena, texto de voiceover, texto en pantalla y una llamada a la acción de cierre.
Reutilizar en varias plataformas
Reutiliza este concepto como un video de TikTok, carrusel de Instagram, miniatura de YouTube y publicación visual de Twitter/X. Mantén el mensaje consistente.
Crear un lote semanal
Crea un plan de contenido social de cinco días para esta marca. Incluye temas, tipos de recursos, prompts visuales, captions y notas de revisión para cada día.
모범 사례
Revisa las publicaciones generadas para verificar precisión, derechos y voz de marca antes de publicarlas.
Proporciona plataforma, audiencia, tono, detalles del producto y estilo visual en cada solicitud.
Usa aprobación manual antes de que cualquier flujo de trabajo publique o suba contenido a una cuenta externa.
피하기
No publiques afirmaciones generadas sin verificación de datos y revisión legal cuando sea necesario.
No incluyas datos privados de clientes, planes no publicados ni credenciales en los prompts.
No ejecutes comandos de instalación o publicación sin verificar el comando y el destino.
자주 묻는 질문
¿A qué plataformas está orientada esta skill?
Cubre TikTok, Instagram Reels, publicaciones del feed de Instagram, YouTube Shorts, miniaturas de YouTube y visuales de Twitter/X.
¿Crea imágenes y videos directamente?
Proporciona flujos de trabajo de inference.sh CLI que llaman a modelos externos de generación de imágenes, video, voz y texto.
¿Puede ayudar con captions y hashtags?
Sí. Incluye flujos de trabajo para generar captions, hooks, llamadas a la acción y hashtags.
¿Esta skill publica posts automáticamente?
Incluye un ejemplo de publicación en Twitter/X. Los usuarios deben exigir confirmación explícita antes de publicar cualquier contenido.
¿Qué configuración se requiere?
Los usuarios necesitan inference.sh CLI, una cuenta, autenticación y acceso a los modelos o apps seleccionados.
¿El contenido generado está listo para publicar?
No. Los usuarios deben revisar precisión, derechos de propiedad intelectual, seguridad y cumplimiento de políticas de la plataforma antes de publicar.