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remotion-render
69Render React Animations as MP4 Videos
Teams need reliable videos from React animation code without manual export work. This skill sends Remotion TSX to inference.sh and returns an MP4 render.
Design & Creative View
Skills ai-video-generation
📦
ai-video-generation
Content revision r1 Medium Risk ⚙️ External commands🌐 Network access
Generate AI Videos with Inference.sh
Creating AI video workflows often requires matching each task to a model and command pattern. This skill guides Claude, Codex, and Claude Code through inference.sh video generation, animation, lipsync, and utility workflows.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "ai-video-generation" from https://skillstore.io/skills/skillssh-ai-video-generation.md and its manifest at https://skillstore.io/api/skills/skillssh-ai-video-generation/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "ai-video-generation". A marketer wants a short launch video for a new mobile app.
Expected outcome:
- Recommended a fast text-to-video model for early concept review.
- Drafted a prompt with product context, camera direction, and duration guidance.
- Suggested upscaling only after the concept clip is approved.
Using "ai-video-generation". A creator has a product image and wants a smooth animated reveal.
Expected outcome:
- Selected an image-to-video workflow instead of pure text-to-video.
- Defined motion direction, framing, and visual constraints for the source image.
- Flagged that the image URL should not expose private or sensitive assets.
Using "ai-video-generation". A developer needs a repeatable video pipeline for campaign assets.
Expected outcome:
- Outlined generation, sound, upscaling, and merging stages.
- Separated creative review points from automated processing steps.
- Identified external-service and media-privacy checks before execution.
Security Audit
Medium Riskv5 • 7/7/2026 Open versioned report
Static Ruby/shell backtick findings are false positives caused by Markdown inline code and fenced command examples. Hardcoded URL findings are documentation links or placeholder media URLs, not hidden network calls. The skill has medium contextual risk because it grants broad infsh CLI access and sends prompts or media URLs to external video services.
1
Files scanned
186
Lines analyzed
0
Review items
0
False positives ignored
Confirmed security concerns (2)
Medium
Broad CLI Permission for External Service
The skill declares allowed-tools: Bash(infsh *), which lets the agent run any infsh subcommand. Since infsh communicates with external video services, prompts and media references may leave the user environment or incur usage costs.
The allowed-tools declaration is explicit, and the skill documents infsh app run workflows throughout SKILL.md. The risk is contextual rather than evidence of malicious intent.
Medium
External Media Processing Exposure
The examples ask users to provide image, audio, and video URLs for avatar, lipsync, upscaling, foley, and merging workflows. Private or signed media URLs could be exposed to inference.sh or model providers during normal use.
Multiple documented examples include media URL inputs sent to remote model apps. This is expected functionality, but it creates a privacy and data-handling risk for sensitive media.
Risk Factors
⚙️ External commands (47)
SKILL.md:15 SKILL.md:17-22 SKILL.md:22-31 SKILL.md:31-32 SKILL.md:32-33 SKILL.md:33-34 SKILL.md:34-35 SKILL.md:35-36 SKILL.md:36-37 SKILL.md:37-38 SKILL.md:38-39 SKILL.md:39-40 SKILL.md:40-46 SKILL.md:46-47 SKILL.md:47-48 SKILL.md:48-49 SKILL.md:49-50 SKILL.md:50-56 SKILL.md:56-57 SKILL.md:57-58 SKILL.md:58-59 SKILL.md:59-65 SKILL.md:65-66 SKILL.md:66-67 SKILL.md:67-71 SKILL.md:71-73 SKILL.md:73-79 SKILL.md:79-83 SKILL.md:83-87 SKILL.md:87-92 SKILL.md:92-96 SKILL.md:96-100 SKILL.md:100-104 SKILL.md:104-109 SKILL.md:109-113 SKILL.md:113-118 SKILL.md:118-122 SKILL.md:122-127 SKILL.md:127-131 SKILL.md:131-133 SKILL.md:133-137 SKILL.md:137-142 SKILL.md:142-146 SKILL.md:146-151 SKILL.md:151-155 SKILL.md:155-176 SKILL.md:176-178
Audited by: codex View Audit History →
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APA citation
skillssh. (2026). ai-video-generation security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/skillssh-ai-video-generation/audits/5BibTeX citation
@techreport{skillssh-skillssh-ai-video-generation-2026,
author = {skillssh},
title = {ai-video-generation security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/skillssh-ai-video-generation/audits/5},
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: "ai-video-generation security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "skillssh"
date-released: "2026-07-07"
url: "https://skillstore.io/skills/skillssh-ai-video-generation/audits/5"
identifiers:
- type: other
value: "skillstore:skillssh-ai-video-generation:audit:5"
description: "Skillstore immutable audit report identifier"
Compare variants
23 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
Higher Skillstore usage
Author / source Skillstore Score Evidence Confidence Skillstore usage Updated
runcomfy-com Recommended
runcomfy-com-ai-video-generation
Skillstore Score 78
Evidence Confidence High
Skillstore usage 24
Updated
2026-08-21
inferen-sh-ai-video-generation
Skillstore Score 78
Evidence Confidence High
Skillstore usage 12
Updated
2026-08-21
inference-shell-ai-video-generation
Skillstore Score 78
Evidence Confidence High
Skillstore usage 12
Updated
2026-08-21
agentspace-so-ai-video-generation
Skillstore Score 78
Evidence Confidence High
Skillstore usage 9
Updated
2026-08-21
doany-ai-ai-video-generation
Skillstore Score 78
Evidence Confidence High
Skillstore usage 8
Updated
2026-08-21
halt-catch-fire-ai-video-generation
Skillstore Score 75
Evidence Confidence High
Skillstore usage 45
Updated
2026-08-21
inference-sh-skills-ai-video-generation
Skillstore Score 75
Evidence Confidence High
Skillstore usage 8
Updated
2026-08-21
skills-collective-ai-video-generation
Skillstore Score 74
Evidence Confidence Medium
Skillstore usage 5
Updated
2026-08-21
skillssh Current
skillssh-ai-video-generation
Skillstore Score 70
Evidence Confidence High
Skillstore usage 13
Updated
2026-08-21
tool-belt-ai-video-generation
Skillstore Score 69
Evidence Confidence High
Skillstore usage 10
Updated
2026-08-21
skills-shell-ai-video-generation
Skillstore Score 69
Evidence Confidence High
Skillstore usage 10
Updated
2026-08-21
inference-skills-ai-video-generation
Skillstore Score 69
Evidence Confidence High
Skillstore usage 6
Updated
2026-08-21
qu-skills-ai-video-generation
Skillstore Score 68
Evidence Confidence High
Skillstore usage 21
Updated
2026-08-21
tul-sh-ai-video-generation
Skillstore Score 50
Evidence Confidence High
Skillstore usage 19
Updated
2026-08-21
toolshell-ai-video-generation
Skillstore Score 50
Evidence Confidence High
Skillstore usage 18
Updated
2026-08-21
infsh-skills-ai-video-generation
Skillstore Score 50
Evidence Confidence High
Skillstore usage 11
Updated
2026-08-21
101-skills-ai-video-generation
Skillstore Score 50
Evidence Confidence Medium
Skillstore usage 6
Updated
2026-08-21
danielgwilson-ai-video-generation
Skillstore Score 50
Evidence Confidence Medium
Skillstore usage 5
Updated
2026-08-21
genmedia-labs-ai-video-generation
Skillstore Score 50
Evidence Confidence Medium
Skillstore usage 2
Updated
2026-08-21
inference-sh-ai-video-generation
Skillstore Score 38
Evidence Confidence Medium
Skillstore usage 35
Updated
2026-08-21
inference-sh-9-ai-video-generation
Skillstore Score 38
Evidence Confidence Medium
Skillstore usage 23
Updated
2026-08-21
inference-sh-8-ai-video-generation
Skillstore Score 38
Evidence Confidence Medium
Skillstore usage 8
Updated
2026-08-21
prime-skills-ai-video-generation
Skillstore Score 38
Evidence Confidence Medium
Skillstore usage 2
Updated
2026-08-21
Skillstore Score
Why this score Evidence Confidence: High 55
Architecture
85
Maintainability
87
Content
69
Community
91
Spec Compliance
What You Can Build
Create Social Media Clips
Generate short promotional or story-driven clips from text prompts and simple creative direction.
Prototype Product Videos
Compare model choices for product teasers, explainer clips, and first-frame controlled animation.
Build Media Automation Pipelines
Combine generation, foley, upscaling, and merging steps into repeatable CLI-driven workflows.
Try These Prompts
Create a Basic Video Prompt
Help me create a five-second AI video about [topic]. Recommend a suitable inference.sh video model and draft a concise generation prompt.
Animate a Source Image
I have an image URL: [image URL]. Choose an image-to-video model and describe the motion, camera movement, and expected input fields.
Plan an Avatar Clip
Plan an avatar video using a portrait URL and narration audio URL. Select an appropriate model and list the inputs I should confirm before running it.
Design a Multi-Step Pipeline
Design an inference.sh workflow that generates a clip, adds foley sound, upscales the result, and merges it with another clip. Include review checkpoints.
Best Practices
- Confirm model choice, cost, duration, and media inputs before running infsh commands.
- Use non-sensitive assets or expiring URLs when sending media to external services.
- Start with short drafts, review results, then upscale or merge approved clips.
Avoid
- Do not send private customer media without permission and provider review.
- Do not run broad generation workflows before confirming the target model and expected cost.
- Do not rely on generated clips as final brand assets without human review.
Frequently Asked Questions
What CLI does this skill use?
It uses the inference.sh infsh CLI to run hosted video and media-processing apps.
Can it generate video from text?
Yes. It includes text-to-video examples for models such as Google Veo and Grok Imagine Video.
Can it animate an existing image?
Yes. It documents image-to-video workflows for models such as Wan, Seedance, and P-Video.
Does it support avatar or lipsync video?
Yes. It references OmniHuman, Fabric, and PixVerse workflows for avatar and lipsync use cases.
Are external services involved?
Yes. Prompts and media URLs may be sent to inference.sh and downstream model providers during normal use.
Do users need an account?
Users need the infsh CLI installed and an inference.sh account configured before generation commands can run.
Developer Details
Author
skillsshLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
f93e9bb0daca99badb6a7e574b97737155d57cb3
Maintenance freshness
7/18/2026
Usage
9 downloads · 128 views
File structure
📄 SKILL.md
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