Skills image-to-video
๐Ÿ“ฆ

image-to-video

Content revision r1 Medium Risk โš™๏ธ External commands๐ŸŒ Network access

Animate Still Images into Short Videos

Choosing a video model and motion prompt for a still image can be difficult. This skill provides practical models, prompts, durations, and workflows.

Supports: Claude Codex Code(CC)
โš ๏ธ 50 Poor

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "image-to-video" from https://skillstore.io/skills/101-skills-image-to-video.md and its manifest at https://skillstore.io/api/skills/101-skills-image-to-video/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 "image-to-video". Animate a lake landscape with calm, realistic motion.

Expected outcome:

Use Wan 2.5 i2v. Apply a slow pan, gentle water ripples, drifting clouds, and subtle warm light changes for four seconds.

Using "image-to-video". Create a premium video from a product image with fabric.

Expected outcome:

  • Use Fabric 1.0 for the cloth movement.
  • Keep the product stable while fabric moves in a gentle breeze.
  • Add a slow orbit and restrained spotlight movement.

Using "image-to-video". Make a ten-second cinemagraph from a waterfall photograph.

Expected outcome:

Generate several short clips where only the waterfall moves. Keep the remaining scene fixed, then join the best matching clips.

Security Audit

Medium Risk
v3 โ€ข 7/12/2026 Open versioned report

Most static findings are false positives caused by Markdown backticks, code fences, model identifiers, and ordinary prose. Confirmed command examples invoke external CLI tools, and image inputs are sent to remote inference services.

1
Files scanned
246
Lines analyzed
7
Review items
0
False positives ignored

Confirmed security concerns (1)

Medium
Local Media Sent to External Services
The workflow passes local image paths to remote inference applications without an explicit privacy or data-handling warning.
The belt app run example names a hosted model and supplies a local image path. Remote image processing necessarily transfers media outside the local environment.
Capability review items (7)

These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.

Medium
Ruby/shell backtick execution
> **Install the belt CLI skill:** `npx skills add belt-sh/cli`
This line directs users to execute npx against an unpinned community package. Package installation can run third-party lifecycle code.
Medium
Ruby/shell backtick execution
```bash
The fenced Bash example runs belt login and remote generation commands. These are intentional external commands that can authenticate and submit local media.
Medium
Ruby/shell backtick execution
```bash
This Bash block invokes belt app run several times with local image paths. The commands contact remote generation services and can consume account resources.
Medium
Ruby/shell backtick execution
```bash
The Bash block runs multiple asynchronous belt jobs and a media merger. These external operations can upload files and incur service usage.
Medium
Ruby/shell backtick execution
```bash
This workflow executes remote generation, upscaling, audio, and merge commands through belt. It submits local media and may consume paid resources.
Medium
Ruby/shell backtick execution
```bash
The Bash example invokes belt with a local image path for remote animation. This is a real external command with network and usage effects.
Medium
Ruby/shell backtick execution
```bash
The Bash block runs five npx installation commands for remote skill packages. Unpinned package execution introduces dependency and lifecycle-script risk.
Audited by: codex View Audit History โ†’
Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report
Security Assessment

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https://skillstore.io/skills/101-skills-image-to-video/audits/3?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA ยท BibTeX ยท CFF)

APA citation

101-skills. (2026). image-to-video security audit report (audit version 3) [Author version unspecified]. Skillstore. https://skillstore.io/skills/101-skills-image-to-video/audits/3

BibTeX citation

@techreport{101-skills-101-skills-image-to-video-2026, author = {101-skills}, title = {image-to-video security audit report (audit version 3)}, institution = {Skillstore}, year = {2026}, number = {3}, url = {https://skillstore.io/skills/101-skills-image-to-video/audits/3}, 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: "image-to-video security audit report (audit version 3)" version: "unspecified" type: report authors: - name: "101-skills" date-released: "2026-07-12" url: "https://skillstore.io/skills/101-skills-image-to-video/audits/3" identifiers: - type: other value: "skillstore:101-skills-image-to-video:audit:3" description: "Skillstore immutable audit report identifier"

Compare variants

8 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score
runcomfy-com Recommended

runcomfy-com-image-to-video

Skillstore Score 78
Evidence Confidence High
Skillstore usage 30
Updated

2026-08-21

genmedia-labs-image-to-video

Skillstore Score 74
Evidence Confidence Medium
Skillstore usage 2
Updated

2026-08-21

halt-catch-fire-image-to-video

Skillstore Score 50
Evidence Confidence Medium
Skillstore usage 7
Updated

2026-08-21

101-skills Current

101-skills-image-to-video

Skillstore Score 50
Evidence Confidence Medium
Skillstore usage 4
Updated

2026-08-21

skills-collective-image-to-video

Skillstore Score 50
Evidence Confidence Medium
Skillstore usage 1
Updated

2026-08-21

doany-ai-image-to-video

Skillstore Score 38
Evidence Confidence High
Skillstore usage 15
Updated

2026-08-21

agentspace-so-image-to-video

Skillstore Score 38
Evidence Confidence High
Skillstore usage 5
Updated

2026-08-21

inference-sh-9-image-to-video

Skillstore Score 38
Evidence Confidence Medium
Skillstore usage 13
Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: Medium
55
Architecture
85
Maintainability
87
Content
65
Community
83
Spec Compliance

What You Can Build

Create Social Media Motion

Turn campaign stills into short, restrained video clips with suitable camera and subject motion.

Animate Product Photography

Add controlled orbit, lighting, reflection, fabric, or material motion to product images.

Build Cinematic Sequences

Plan several short generated clips, then upscale, add audio, and merge them.

Try These Prompts

Add Gentle Motion
Animate [image] with subtle [subject motion]. Keep the camera static and preserve the original composition.
Choose a Model
Recommend a model for this [content type] image. Consider [quality], [speed], [resolution], and [material behavior]. Explain the choice.
Design Camera Movement
Create a motion prompt for [image]. Use one [camera movement], gentle [subject motion], [atmosphere], and a [pace] mood.
Plan a Complete Workflow
Plan a [duration] video from [source image]. Define short clips, progressive motion, model choices, upscaling, audio, and final merging.

Best Practices

  • Start with a high-resolution source image and clearly define the main moving element.
  • Use one camera direction and subtle subject motion to reduce warping and artifacts.
  • Generate short clips first, compare results, and extend duration by joining compatible clips.

Avoid

  • Do not request several conflicting camera movements or complex actions in one clip.
  • Do not upload confidential, restricted, or unlicensed media to external inference services.
  • Do not assume long generation requests will preserve quality or visual continuity.

Frequently Asked Questions

Which model is best for realistic motion?
Wan 2.5 i2v is the guide's preferred option for landscapes, portraits, and subtle photorealistic movement.
Which model handles fabric or flowing materials?
Fabric 1.0 is recommended for cloth, liquid, flags, curtains, and other physics-based movement.
How long should each generated clip be?
Use two to five seconds for stronger quality. Create several short clips when the final video must be longer.
Can the workflow add audio?
Yes. The guide includes generated audio and video-audio merging through external belt applications.
Does this skill run entirely locally?
No. It uses the belt CLI to access hosted inference services and may upload local media.
How can motion artifacts be reduced?
Use gentle motion, one primary camera direction, simple actions, short clips, and a high-quality source image.

Developer Details

Author

101-skills

License

MIT

Skillstore revision

r1

Version notice

The author did not declare a version.

Ref

d71c7417a35d5c2624161bd2fe8de8a41a362128

Maintenance freshness

7/18/2026

Usage

0 downloads ยท 0 views

File structure

๐Ÿ“„ SKILL.md

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