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mory128

Video Json Ai

by mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
73
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0
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0
Active Installs
1
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Install in OpenClaw
/install video-json-ai
Description
Skip the learning curve of professional editing software. Describe what you want — extract video metadata and scene data as structured JSON — and get structu...
Usage Guidance
This skill appears to do what it says: it uploads videos to a remote API (mega-api-prod.nemovideo.ai) and returns structured JSON or exported video files. Before installing or using it, consider: 1) privacy — your videos are sent to a third-party service; avoid uploading sensitive content unless you trust the provider and have reviewed their privacy/retention policy; 2) credentials — NEMO_TOKEN grants API access (rotate or revoke it if exposed); provide only tokens/accounts you control for this service; 3) test with non-sensitive/sample videos first to confirm behavior and costs; 4) note the small metadata mismatch (declared vs. SKILL.md config paths) — ask the publisher whether the skill reads/writes ~/.config/nemovideo/ or install-paths if that matters to you. If you need stronger assurance about the vendor or data handling, request the skill's homepage or source and a privacy/security disclosure from the publisher before using it.
Capability Analysis
Type: OpenClaw Skill Name: video-json-ai Version: 1.0.0 The skill is a specialized integration for the nemovideo.ai API, designed to perform video processing and metadata extraction. It includes detailed instructions for the AI agent to manage sessions, handle anonymous authentication via a UUID-based token system, and upload files to remote GPU nodes for rendering. While it performs minor environment fingerprinting to identify the host platform (checking paths like ~/.cursor/skills/ for the X-Skill-Platform header) and contains some UI-centric documentation that the agent must translate into API calls, these behaviors are transparently documented and align with the stated purpose of a cloud-based video service. No evidence of data exfiltration, malicious execution, or unauthorized access was found.
Capability Assessment
Purpose & Capability
The skill claims to extract video metadata/scene data and its runtime instructions call a remote video-processing API and ask for a single API token (NEMO_TOKEN). That is consistent. Minor inconsistency: the registry metadata earlier listed no required config paths, while the SKILL.md YAML frontmatter references a config path (~/.config/nemovideo/) and runtime header heuristics that derive an install path. This mismatch is likely benign but worth noting.
Instruction Scope
The SKILL.md instructs the agent to authenticate (use NEMO_TOKEN or obtain an anonymous token), create a session, upload video files or URLs, and poll/export results. All instructions relate to the stated purpose (uploading videos and getting JSON/exports). It does not instruct reading unrelated system files, secrets, or printing tokens (it explicitly says not to).
Install Mechanism
There is no install spec and no code files (instruction-only), so nothing is written to disk by an installer. This is the lowest-risk install model.
Credentials
The skill requires a single primary env var, NEMO_TOKEN, which matches a service API token and is proportionate. Note the YAML frontmatter also mentions a config path (~/.config/nemovideo/) and the SKILL.md describes deriving platform headers from an install path; those are minor additional local assumptions that weren't declared in the registry requirements and create a small inconsistency.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent system-wide privileges. It stores a session_id for the remote service (normal) and does not modify other skills or system configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install video-json-ai
  3. After installation, invoke the skill by name or use /video-json-ai
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Video JSON AI — Extract Video Data as JSON. - Upload MP4, MOV, AVI, or WebM video files up to 500MB for automated AI-powered extraction of metadata and scene data as structured JSON. - One-click setup: free token generation and session connection handled automatically. - Supports developer- and marketer-friendly workflows with cloud GPU processing; JSON output ready in 20–40 seconds for short clips. - Covers export to MP4 and common formats, batch processing, iterative editing, and real-time job status updates. - Detailed error handling for uploads, tokens, credits, and rate limits.
Metadata
Slug video-json-ai
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Video Json Ai?

Skip the learning curve of professional editing software. Describe what you want — extract video metadata and scene data as structured JSON — and get structu... It is an AI Agent Skill for Claude Code / OpenClaw, with 73 downloads so far.

How do I install Video Json Ai?

Run "/install video-json-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Video Json Ai free?

Yes, Video Json Ai is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Video Json Ai support?

Video Json Ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Video Json Ai?

It is built and maintained by mory128 (@mory128); the current version is v1.0.0.

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