Fähigkeiten magic-hour-image-to-video

📦

magic-hour-image-to-video

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

v1.5.0 Inhaltsrevision r1 Niedriges Risiko 🔑 Umgebungsvariablen⚙️ Externe Befehle🌐 Netzwerkzugriff

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.

Unterstützt: Claude Codex Code(CC)

📊 76 Angemessen

Maintain this Skill? Claim it 📊 76 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 "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.

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/magichourhq-magic-hour-image-to-video.md Signiertes manifest GET /api/skills/magichourhq-magic-hour-image-to-video/manifest Signiertes lockfile GET /api/skills/magichourhq-magic-hour-image-to-video/lockfile

Testen

„magic-hour-image-to-video“ wird verwendet. Animate this portrait into a five-second vertical clip with a slow push in.

Erwartetes Ergebnis:

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.

„magic-hour-image-to-video“ wird verwendet. Make a product reveal from this bottle photo.

Erwartetes Ergebnis:

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.

Sicherheitsaudit

Niedriges Risiko

v1 • 17.9.2026 Versionsbericht öffnen

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.

Gescannte Dateien

205

Analysierte Zeilen

Prüfelemente

Falschmeldungen ignoriert

Bestätigte Sicherheitsbedenken (1)

Niedrig

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.

Risikofaktoren

🔑 Umgebungsvariablen (1)

references/setup.md:5

⚙️ Externe Befehle (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

🌐 Netzwerkzugriff (2)

SKILL.md:14 SKILL.md:75

Geprüft von: claude

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/magichourhq-magic-hour-image-to-video/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown-Badge

[![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)

HTML-Badge

<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>

Einbettungskarte

<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>

Wissenschaftliche Zitate (APA · BibTeX · CFF)

APA-Zitat

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

BibTeX-Zitat

@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"

Skillstore-Score

Warum dieser Score Evidenzvertrauen: Mittel

Architektur

100

Wartbarkeit

Inhalt

Gemeinschaft

100

Spezifikationskonformität

Was Sie erstellen können

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.

Diese Prompts ausprobieren

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.

Bewährte Praktiken

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.

Vermeiden

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.