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在 OpenClaw 中安装
/install video-json-ai
功能描述
Skip the learning curve of professional editing software. Describe what you want — extract video metadata and scene data as structured JSON — and get structu...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install video-json-ai - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-json-ai触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
常见问题
Video Json Ai 是什么?
Skip the learning curve of professional editing software. Describe what you want — extract video metadata and scene data as structured JSON — and get structu... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 73 次。
如何安装 Video Json Ai?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-json-ai」即可一键安装,无需额外配置。
Video Json Ai 是免费的吗?
是的,Video Json Ai 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Video Json Ai 支持哪些平台?
Video Json Ai 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Video Json Ai?
由 mory128(@mory128)开发并维护,当前版本 v1.0.0。
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