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Install in OpenClaw
/install photo-video-ai
Description
convert photos and videos into animated photo videos with this skill. Works with JPG, PNG, MP4, MOV files up to 500MB. social media creators use it for turni...
Usage Guidance
This skill appears to do what it says: call a remote service to render videos and it needs a single API token (NEMO_TOKEN). Before installing, consider: 1) The SKILL.md instructs the agent to detect install paths (~/.clawhub/, ~/.cursor/skills/) and read YAML frontmatter — that means the agent may probe some local paths; make sure you are comfortable with the agent accessing those locations. 2) Only provide a NEMO_TOKEN scoped to the minimum necessary privileges (or let the skill use its anonymous token flow if you prefer ephemeral access). 3) Confirm the vendor domain (mega-api-prod.nemovideo.ai) and privacy/billing implications for uploading media. 4) The registry metadata and the SKILL.md disagree about required config paths — this could be an out-of-date metadata issue; ask the publisher or inspect the skill instructions in full if you need higher assurance. If you require stricter limits, avoid setting a persistent NEMO_TOKEN and restrict the agent's filesystem/network permissions when running the skill.
Capability Analysis
Type: OpenClaw Skill
Name: photo-video-ai
Version: 1.0.0
The skill is a functional wrapper for the 'nemovideo.ai' video generation service. It provides detailed instructions for the AI agent to manage authentication (via NEMO_TOKEN or anonymous UUID), session handling, and file uploads to the service's API (mega-api-prod.nemovideo.ai). While it requests the agent to detect its installation path to set attribution headers, this behavior is aligned with the stated purpose of the skill and does not show evidence of malicious intent or unauthorized data exfiltration.
Capability Assessment
Purpose & Capability
The skill's name and description (convert photos/videos to videos) line up with requiring a NEMO_TOKEN and calling a remote rendering API. However, the SKILL.md frontmatter declares a required config path (~/.config/nemovideo/) and the running instructions expect to detect install paths (~/.clawhub/, ~/.cursor/skills/) and to read the file's YAML frontmatter at runtime. The registry metadata provided to the evaluator did not list any required config paths — that inconsistency suggests the skill's declared capabilities/requirements in the catalog are out-of-sync with the runtime instructions.
Instruction Scope
Instructions explicitly tell the agent to: read NEMO_TOKEN from the environment (expected); generate an anonymous token from the vendor endpoint if no env token exists (expected); create sessions, upload files (multipart uploads or URLs), poll render status, and include custom attribution headers. They also instruct detecting the agent's install path (~/.clawhub/ or ~/.cursor/skills/) and reading the SKILL.md YAML frontmatter at runtime to populate X-Skill-Version. Detecting/install-paths and reading local files is filesystem access beyond the simple API integration and is not declared in the registry metadata. If an agent has access to arbitrary local paths, these instructions could cause it to probe the filesystem for those locations.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes write-to-disk and supply-chain risk; nothing is being downloaded or installed by the skill itself.
Credentials
The skill only requires one credential (NEMO_TOKEN) as primaryEnv, which is proportionate to calling a third-party render API. The instructions also create an anonymous token if NEMO_TOKEN is not present (POST to vendor endpoint). There are no additional unrelated secrets requested. Users should verify what privileges the NEMO_TOKEN grants on the vendor side (account access, billing, long-lived operations).
Persistence & Privilege
always:false and normal autonomous invocation settings. The skill does not request to be forced-always-enabled and does not provide install scripts or attempt to modify other skills or system-wide settings in the provided instructions.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install photo-video-ai - After installation, invoke the skill by name or use
/photo-video-ai - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Photo Video AI 1.0.0 — Initial Release
- Convert photos and videos (JPG, PNG, MP4, MOV, up to 500MB) into animated, shareable 1080p MP4 videos in 30-60 seconds using cloud GPUs.
- Simple workflow for uploading, editing, previewing, and exporting video slideshows with transitions, music, and text overlays.
- Built-in session management with automatic anonymous login and 100 free credits for new users (valid 7 days).
- Supports aspect ratio selection, BGM, and multiple export formats; optimized for quick edits and social media sharing.
- Includes user-friendly error handling, status updates, and step-by-step instructions for all major video creation tasks.
- All processing and rendering handled securely on remote servers—no local installation required.
Metadata
Frequently Asked Questions
What is Photo Video Ai?
convert photos and videos into animated photo videos with this skill. Works with JPG, PNG, MP4, MOV files up to 500MB. social media creators use it for turni... It is an AI Agent Skill for Claude Code / OpenClaw, with 106 downloads so far.
How do I install Photo Video Ai?
Run "/install photo-video-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Photo Video Ai free?
Yes, Photo Video Ai is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Photo Video Ai support?
Photo Video Ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Photo Video Ai?
It is built and maintained by mory128 (@mory128); the current version is v1.0.0.
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