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在 OpenClaw 中安装
/install photo-video-ai
功能描述
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...
安全使用建议
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for uploading media. 4) The registry metadata and the SKILL.md disagree about required config paths — this could be an out-of-date metadata issue; ask the publisher or inspect the skill instructions in full if you need higher assurance.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.
功能分析
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.
能力评估
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.
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 photo-video-ai - 安装完成后，直接呼叫该 Skill 的名称或使用
/photo-video-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
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.
元数据
常见问题
Photo Video Ai 是什么？
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 106 次。
如何安装 Photo Video Ai？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install photo-video-ai」即可一键安装，无需额外配置。
Photo Video Ai 是免费的吗？
是的，Photo Video Ai 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Photo Video Ai 支持哪些平台？
Photo Video 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 Photo Video Ai？
由 mory128（@mory128）开发并维护，当前版本 v1.0.0。
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