Habilidades magic-hour-image-to-video

📦

magic-hour-image-to-video

Name: magic-hour-image-to-video
Author: magichourhq

v1.5.0 Revisión del contenido r1 Riesgo bajo 🔑 Variables de entorno⚙️ Comandos externos🌐 Acceso a red

Animate Images into Short Videos with Magic Hour

A single still image is rarely enough to produce a convincing short video, because appearance problems cannot be fixed by motion. This skill solves appearance in the start frame first, then animates the approved frame with Magic Hour and inspects the finished clip before delivery.

Compatible con: Claude Codex Code(CC)

📊 76 Adecuado

Maintain this Skill? Claim it 📊 76 Adecuado

Instalar con mi Agente

Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.

Solicitud de agente

Review the Skillstore skill "magic-hour-image-to-video" from https://skillstore.io/skills/magichourhq-magic-hour-image-to-video.md and its manifest at https://skillstore.io/api/skills/magichourhq-magic-hour-image-to-video/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.

Detalle Markdown GET /skills/magichourhq-magic-hour-image-to-video.md Manifest firmado GET /api/skills/magichourhq-magic-hour-image-to-video/manifest Lockfile firmado GET /api/skills/magichourhq-magic-hour-image-to-video/lockfile

Pruébalo

Usando "magic-hour-image-to-video". Animate this portrait into a five-second vertical clip with a slow push in.

Resultado esperado:

Plan: 5 seconds, 9:16, one slow push in, identity and clothing fixed.
Start frame approved: face, lighting, and background unchanged.
Video delivered: 1080x1920, 5 seconds, no audio, first frame matches the approved still.
Image and video project IDs returned with the file.

Usando "magic-hour-image-to-video". Make a product reveal from this bottle photo.

Resultado esperado:

Still prepared: background cleaned, label and logo preserved.
Motion: locked camera, soft light sweep, held final exposure.
Inspection: label text stable, no warping, dimensions and duration verified.

Auditoría de seguridad

Riesgo bajo

v1 • 17/9/2026 Abrir el informe versionado

All 18 static findings are false positives against a documentation-only skill that contains no executable code. The eight external_commands hits are Markdown inline-code backticks around Magic Hour tool names, the two network hits are documented Magic Hour endpoints and a GitHub example link, the env_access hit is prose advising that MAGIC_HOUR_API_KEY be stored outside source code, and the seven system-reconnaissance blockers are ordinary prose about inspecting generated stills. No scripts, embedded secrets, prompt injection, or data-exfiltration intent were found; the only residual note is that the skill drives paid Magic Hour generations.

Archivos escaneados

205

Líneas analizadas

Elementos de revisión

Falsos positivos ignorados

Preocupaciones de seguridad confirmadas (1)

Bajo

SKILL.md:14-16 references/first-video.md:9-10

Autonomous Paid Media Generation

The skill drives paid Magic Hour image and video projects. It tells the agent to choose model, aspect ratio, and duration on the user's behalf and to continue from still to video without draft approval when creative decisions are delegated, which consumes real credits. The skill does include budget guardrails, such as honoring the existing budget and requiring authorization for a second paid image request, but those guardrails are prose instructions the model must follow rather than a hard technical cap.

The paid-generation flow is explicit in SKILL.md and references/first-video.md, but the skill also states clear budget guardrails, so this is a low residual business-logic risk rather than a concrete defect.

Factores de riesgo

🔑 Variables de entorno (1)

references/setup.md:5

⚙️ Comandos externos (8)

SKILL.md:14 SKILL.md:36 SKILL.md:37 SKILL.md:42 SKILL.md:46 SKILL.md:56 SKILL.md:60 SKILL.md:64

🌐 Acceso a red (2)

SKILL.md:14 SKILL.md:75

Auditado por: claude

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.

Abrir el informe versionado

Copiar enlace del informe

https://skillstore.io/skills/magichourhq-magic-hour-image-to-video/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Insignia Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/magichourhq-magic-hour-image-to-video/security.svg)](https://skillstore.io/skills/magichourhq-magic-hour-image-to-video?utm_source=security_passport_badge)

Insignia HTML

<a href="https://skillstore.io/skills/magichourhq-magic-hour-image-to-video?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/magichourhq-magic-hour-image-to-video/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Tarjeta para insertar

<iframe src="https://skillstore.io/embed/skills/magichourhq-magic-hour-image-to-video.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

magichourhq. (2026). magic-hour-image-to-video security audit report (audit version 1) [Author version 1.5.0]. Skillstore. https://skillstore.io/skills/magichourhq-magic-hour-image-to-video/audits/1

Cita BibTeX

@techreport{magichourhq-magichourhq-magic-hour-image-to-video-2026,
  author = {magichourhq},
  title = {magic-hour-image-to-video security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/magichourhq-magic-hour-image-to-video/audits/1},
  note = {Author version 1.5.0}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "magic-hour-image-to-video security audit report (audit version 1)"
version: "1.5.0"
type: report
authors:
  - name: "magichourhq"
date-released: "2026-09-17"
url: "https://skillstore.io/skills/magichourhq-magic-hour-image-to-video/audits/1"
identifiers:
  - type: other
    value: "skillstore:magichourhq-magic-hour-image-to-video:audit:1"
    description: "Skillstore immutable audit report identifier"

Puntuación de Skillstore

Por qué esta puntuación Confianza de la evidencia: Medio

Arquitectura

100

Mantenibilidad

Contenido

Comunidad

100

Cumplimiento de la especificación

Lo que puedes crear

Bring a portrait to life

Animate a single portrait or character still into a short clip with one controlled expression or gesture.

Product reveal clips

Turn a product still into a short reveal while protecting packaging, logo, and the layout of the frame.

Short narrative sequences

Direct a multi-shot story from approved stills and assemble the shots into one short film.

Prueba estos prompts

Basic image to video

Use magic-hour-image-to-video to turn my attached portrait into a five-second clip. Keep the face and clothing unchanged and add a slow push in.

Edit the start frame first

Use magic-hour-image-to-video to change the background of my product photo to a marble counter, then animate it with a locked camera and soft steam.

Direct one specific motion

Use magic-hour-image-to-video to animate my character shot. She turns slightly toward the camera and smiles. Keep the camera locked, preserve her identity, and add no cuts.

Multi-shot sequence

Use magic-hour-image-to-video to build a three-shot sequence from this character reference: arrival, a small discovery, then one clear action. Inspect each still before animation and save the individual shots.

Mejores prácticas

Approve the start frame before you spend credits on motion.
Describe one action and one camera move instead of restating the whole image.
Keep project IDs and acceptance criteria so a repair reuses accepted work.

Evitar

Resubmitting a creation call after a wait timeout.
Asking a nontechnical user for model fields or a motion-prompt template.
Chaining unreviewed edits instead of deriving every still from one approved reference.