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Vheer Ai Image To Video
by
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
110
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0
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0
Active Installs
1
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Install in OpenClaw
/install vheer-ai-image-to-video
Description
Tell me what you need and I'll bring your still images to life using vheer-ai-image-to-video. Whether you have a single photo or a collection of visuals, thi...
Usage Guidance
This skill appears to be what it says: it uploads your images to the vheer/nemo cloud service and returns generated video. Before installing/using it, consider: (1) Privacy: images (and any embedded metadata) are sent to https://mega-api-prod.nemovideo.ai — do not upload sensitive or confidential images unless you trust the service and its retention policy. (2) Token handling: the skill will use NEMO_TOKEN if present, otherwise it will obtain an anonymous token; use a limited-scope or throwaway token if you are concerned. (3) Metadata leakage: the skill will include X-Skill-Source/X-Skill-Version and may detect and send an X-Skill-Platform value derived from local install paths (this can reveal local path patterns). (4) No local install or code was provided for review (instruction-only), so there is no embedded code to audit — the scanner had nothing to analyze; network behavior is the main risk. If you need stronger assurance, ask the publisher for a privacy policy, data retention rules, and to confirm what the NEMO_TOKEN scopes/permissions are, or test with non-sensitive sample images and a disposable token first.
Capability Analysis
Type: OpenClaw Skill
Name: vheer-ai-image-to-video
Version: 1.0.0
The skill is a legitimate integration for the Vheer AI image-to-video service, facilitating API interactions with https://mega-api-prod.nemovideo.ai. It provides clear instructions for the agent to handle authentication (using NEMO_TOKEN or generating an anonymous token), session management, and media processing (uploading, rendering, and exporting). No evidence of malicious intent, data exfiltration, or unauthorized execution was found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name/description match the requirements: the skill needs a single API token (NEMO_TOKEN) and its documented endpoints and actions (session creation, SSE, upload, render/export) align with an image-to-video backend.
Instruction Scope
Instructions are scoped to the service API and user-supplied files. They also instruct the agent to: (a) create an anonymous token if NEMO_TOKEN is missing by POSTing to the service; (b) read the SKILL.md frontmatter and detect an install path to populate X-Skill-* headers. That install-path detection can reveal local install-location information in requests (privacy consideration) but is coherent with the skill's stated requirement to send attribution headers.
Install Mechanism
This is an instruction-only skill with no install spec and no code files. Nothing is downloaded or written to disk by the skill itself.
Credentials
Only NEMO_TOKEN is required (primary credential). The token is appropriate for the declared backend. The skill documents an anonymous-token fallback if no token is present; no unrelated credentials or secrets are requested.
Persistence & Privilege
The skill does not request always:true or other elevated persistence. Default autonomous invocation is allowed (normal), and the skill does not claim to modify other skills or global agent configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install vheer-ai-image-to-video - After installation, invoke the skill by name or use
/vheer-ai-image-to-video - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Vheer AI Image to Video v1.0.0 — Initial Release
- Instantly animate single or multiple images into cinematic video clips with natural motion.
- Handles user-friendly requests for uploads, animation, motion style, credits, export, and status.
- Automatic connection and session management (including token handling for free or registered users).
- Supports a wide range of media formats (mp4, mov, avi, webm, gif, jpg, png, etc.).
- Guides users with helpful prompts and concise feedback throughout the workflow.
- Integrates robust error handling for smooth user experience.
Metadata
Frequently Asked Questions
What is Vheer Ai Image To Video?
Tell me what you need and I'll bring your still images to life using vheer-ai-image-to-video. Whether you have a single photo or a collection of visuals, thi... It is an AI Agent Skill for Claude Code / OpenClaw, with 110 downloads so far.
How do I install Vheer Ai Image To Video?
Run "/install vheer-ai-image-to-video" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Vheer Ai Image To Video free?
Yes, Vheer Ai Image To Video is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Vheer Ai Image To Video support?
Vheer Ai Image To Video is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Vheer Ai Image To Video?
It is built and maintained by vcarolxhberger (@vcarolxhberger); the current version is v1.0.0.
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