video-inpainting
Edit Video Regions with RunComfy
Unwanted objects and inconsistent regions can distract viewers across an entire video. This skill guides RunComfy model selection and regional editing prompts while identifying tasks that require separate masking workflows.
Instalar con mi Agente
Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.
Review the Skillstore skill "video-inpainting" from https://skillstore.io/skills/prime-skills-video-inpainting.md and its manifest at https://skillstore.io/api/skills/prime-skills-video-inpainting/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 "video-inpainting". Recommend a way to remove an overhead cable from my clip.
Resultado esperado:
- Recommended route: Wan 2-7 Edit-Video for a prompt-driven regional cleanup.
- Suggested prompt: Remove the overhead cable across all frames and reconstruct the matching background. Preserve all other content.
- Review camera movement and repaired edges before accepting the result.
Usando "video-inpainting". I need exact masks around a moving object across the whole clip.
Resultado esperado:
- Use a separate ComfyUI workflow with segmentation tracking and temporal inpainting.
- The documented CLI endpoints cannot provide the required pixel-precise mask propagation.
- Review the LTX 2-3 inpainting workflow in the RunComfy GUI before processing the full clip.
Usando "video-inpainting". Can I edit every frame independently and rebuild a long video?
Resultado esperado:
- Seedream sequential editing is suggested for short frame sequences.
- Independent still edits can lose temporal consistency on long clips.
- Frame extraction and video re-encoding require separate tools.
Auditoría de seguridad
Riesgo medioAll 57 static findings are false positives involving Markdown, reference URLs, standard authentication documentation, or model-selection advice. One semantic concern remains: the guide incorrectly treats JSON input as protection against shell injection during command construction. No evidence found of malicious instructions, credential exfiltration, or security-review manipulation; external CLI behavior was not verified.
Preocupaciones de seguridad confirmadas (1)
Factores de riesgo
⚙️ Comandos externos (31)
🌐 Acceso a red (21)
📁 Acceso al sistema de archivos (2)
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/prime-skills-video-inpainting/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportInsignia Markdown
[](https://skillstore.io/skills/prime-skills-video-inpainting?utm_source=security_passport_badge)Insignia HTML
<a href="https://skillstore.io/skills/prime-skills-video-inpainting?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/prime-skills-video-inpainting/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Tarjeta para insertar
<iframe src="https://skillstore.io/embed/skills/prime-skills-video-inpainting.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
prime-skills. (2026). video-inpainting security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/prime-skills-video-inpainting/audits/1Cita BibTeX
@techreport{prime-skills-prime-skills-video-inpainting-2026,
author = {prime-skills},
title = {video-inpainting security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/prime-skills-video-inpainting/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: "video-inpainting security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "prime-skills"
date-released: "2026-11-01"
url: "https://skillstore.io/skills/prime-skills-video-inpainting/audits/1"
identifiers:
- type: other
value: "skillstore:prime-skills-video-inpainting:audit:1"
description: "Skillstore immutable audit report identifier"
Comparar variantes
4 variantes instalablesCada autor sigue siendo un skill instalable independiente. La variante recomendada se ordena según la evidencia de Skillstore.
Por qué esta variante es la primera
agentspace-so-video-inpainting
2026-10-22
runcomfy-com-video-inpainting
2026-09-09
doany-ai-video-inpainting
2026-09-09
prime-skills-video-inpainting
2026-11-01
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
Clean Up Background Distractions
Plan a regional edit to remove overhead cables or a passing background object while preserving the surrounding scene.
Plan Consistent Product Replacements
Compare prompt-driven replacement, identity-aware restyling, and separate frame workflows for an authorized product video update.
Select a Masking Workflow
Determine when a scientific or training clip needs precise masks and temporal propagation instead of a prompt-only model call.
Prueba estos prompts
I own this clip: [video URL]. Recommend a route to remove the overhead cable while preserving everything else. Do not submit a job yet.
Prepare a Wan edit for [video URL] to remove the box in the lower-left corner. Preserve surrounding content. Show the prompt and execution plan before submission.
Compare Wan and Lucy for replacing the jacket in [video URL] while preserving the subject's identity. Identify limitations and recommend a small test before submission.
Plan separate edits for [video URL]: remove a moving object, then replace a sign. Compare prompt-only editing with tracked ComfyUI masks. Include temporal checks and shell-safe input handling.
Mejores prácticas
- Use source URLs explicitly provided for the task, and confirm authorization before sharing footage with an external service.
- Describe one spatially specific change per pass, request preservation, and inspect motion continuity after each edit.
- Serialize inputs and use argument-array execution where available; do not interpolate prompts or URLs directly into shell commands.
Evitar
- Combining unrelated regional edits into one prompt and expecting unchanged surrounding frames.
- Treating prompt-driven endpoints as substitutes for precise masks or guaranteed temporal propagation.
- Assuming JSON prevents shell injection or treating unverified CLI privacy claims as established guarantees.
Preguntas frecuentes
What must I install before using this skill?
Which model is the default?
Can the CLI propagate exact masks?
Will all other content remain unchanged?
Does this skill process video locally?
Is JSON input sufficient protection against shell injection?
Detalles del desarrollador
Autor
prime-skillsLicencia
MIT
Revisión de Skillstore
r1
Aviso de versión
El autor no declaró una versión.
Ref.
a53bacaa2e85e44d9f929fa7a6d863cbe7fd1c03
Actualidad del mantenimiento
1/11/2026
Uso
0 descargas · 0 vistas
Estructura de archivos
📄 SKILL.md