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Photo Video Maker Arabic
by
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
92
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0
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0
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1
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Install in OpenClaw
/install photo-video-maker-arabic
Description
turn photos and images into Arabic slideshow video with this photo-video-maker-arabic skill. Works with JPG, PNG, HEIC, WebP files up to 200MB. Arabic-speaki...
Usage Guidance
This skill appears to be what it claims (a cloud photo-to-video service) but has a few inconsistencies to clarify before use: 1) Confirm whether the skill will read/write ~/.config/nemovideo/ (frontmatter mentions it but registry metadata did not). 2) Understand token handling: the skill can create an anonymous NEMO_TOKEN itself, so you should avoid pasting a long-lived or privileged token unless you trust nemovideo.ai. 3) Ask where session_id and any persisted tokens are stored and whether they are protected. 4) Review their privacy/terms for uploading images to an external service — uploaded images and generated tokens will be sent to mega-api-prod.nemovideo.ai. If these answers are satisfactory, the skill's behavior is coherent enough to use; if not, treat it as untrusted and do not supply existing credentials or sensitive images.
Capability Analysis
Type: OpenClaw Skill
Name: photo-video-maker-arabic
Version: 1.0.0
The skill is a functional API wrapper for the Nemo Video service (nemovideo.ai), designed to convert images into Arabic slideshow videos. It follows standard integration patterns, including authentication via the NEMO_TOKEN environment variable, session management, and file uploads to mega-api-prod.nemovideo.ai. The instructions in SKILL.md are consistent with the stated purpose, include proper error handling, and explicitly advise the agent not to expose sensitive tokens or raw API output.
Capability Assessment
Purpose & Capability
Name/description align with the runtime instructions: it talks to a nemovideo cloud API to render Arabic slideshow videos and accepts image uploads. Requesting a NEMO_TOKEN credential is expected for that backend. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — this mismatch is unexplained and worth confirming.
Instruction Scope
SKILL.md gives precise API calls (auth, session creation, SSE, upload, export). It instructs the agent to look for NEMO_TOKEN or otherwise call the anonymous-token endpoint to obtain one, to generate/store session_id, and to upload files (multipart or URL). These steps are within the skill's purpose. Two scope items to double-check: (1) the skill expects to auto-detect an install path to set X-Skill-Platform (may require reading agent or filesystem paths), and (2) the frontmatter's config path suggests the skill might read/write ~/.config/nemovideo/, but the instructions do not explicitly say where session tokens are persisted — confirm whether the skill will read/write that path.
Install Mechanism
This is instruction-only with no install spec and no code files, so nothing will be downloaded or written by an installer step. That is the lowest install risk.
Credentials
The only declared credential is NEMO_TOKEN, which is appropriate for a cloud-rendering backend. However: (a) SKILL.md will generate an anonymous token itself if NEMO_TOKEN is absent, so requiring NEMO_TOKEN as 'required' is inconsistent with the behavior described; (b) frontmatter lists a user config path (~/.config/nemovideo/) which would grant access to local config and possibly persisted tokens — this was not declared in the registry metadata and is not justified in the instructions. Both points should be clarified before trusting the skill with existing tokens or allowing it to access that config folder.
Persistence & Privilege
always:false (default) and no install script — good. The skill instructs keeping session_id for operations and may persist session state (implied by config path). This is reasonable for a session-based cloud service, but you should confirm where and how session or token data are stored and whether the skill will write into ~/.config/nemovideo/ or other locations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install photo-video-maker-arabic - After installation, invoke the skill by name or use
/photo-video-maker-arabic - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Photo Video Maker Arabic — Turn Photos into Arabic Videos:
- Allows users to turn JPG, PNG, HEIC, and WebP images into 1080p Arabic-captioned slideshow videos.
- Cloud-based processing with easy upload and automated setup—no local installation required.
- Session and authentication handled transparently; guides users through token generation if needed.
- Supports exporting videos as MP4, plus project management, status tracking, and credits check.
- Error handling for common scenarios (token expiry, file issues, export limitations, etc.).
- Designed for Arabic-speaking content creators on social media.
Metadata
Frequently Asked Questions
What is Photo Video Maker Arabic?
turn photos and images into Arabic slideshow video with this photo-video-maker-arabic skill. Works with JPG, PNG, HEIC, WebP files up to 200MB. Arabic-speaki... It is an AI Agent Skill for Claude Code / OpenClaw, with 92 downloads so far.
How do I install Photo Video Maker Arabic?
Run "/install photo-video-maker-arabic" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Photo Video Maker Arabic free?
Yes, Photo Video Maker Arabic is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Photo Video Maker Arabic support?
Photo Video Maker Arabic is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Photo Video Maker Arabic?
It is built and maintained by vcarolxhberger (@vcarolxhberger); the current version is v1.0.0.
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