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Tomoviee Image to Video
作者
wondershare-boop
· GitHub ↗
· v1.0.3
· MIT-0
373
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install tomoviee-image-to-video
功能描述
Generate videos from image + text prompts using Tomoviee Image-to-Video API (`tm_img2video_b`) through Wondershare OpenAPI gateway (`https://openapi.wondersh...
安全使用建议
This package mostly does what it claims, but there are some red flags to resolve before installing: (1) the manifest does not declare the required credentials (app_key/app_secret) — ask the publisher to add them as required env vars or document how credentials will be provided securely; (2) avoid running scripts that print tokens (scripts/generate_auth_token.py) in environments where stdout is logged or shared; treat the app_key/app_secret as sensitive and inject them via a secure secret mechanism rather than pasting into chat; (3) be cautious with the optional callback URL — only use trusted endpoints because the service can POST generated results (and potentially user-supplied images/prompts) to that URL; (4) verify you trust the external gateway (openapi.wondershare.cc) and review its data retention/privacy policy because your images/prompts will be sent to a third party. If the author can correct the manifest to declare the credentials and avoid helper scripts that print secrets, my confidence that this package is coherent would increase.
功能分析
Type: OpenClaw Skill
Name: tomoviee-image-to-video
Version: 1.0.3
The skill bundle is a legitimate integration for the Tomoviee AI Image-to-Video service provided by Wondershare. The Python client (scripts/tomoviee_img2video_client.py) and authentication helper (scripts/generate_auth_token.py) perform standard API interactions with the documented endpoints at openapi.wondershare.cc. No evidence of data exfiltration, malicious execution, or prompt injection was found; the code logic is transparent and aligns with the stated purpose of generating videos from images.
能力评估
Purpose & Capability
The code and SKILL.md consistently implement a Tomoviee image-to-video client that talks to the documented Wondershare gateway; the runtime dependency (requests) and included scripts are appropriate for that purpose. However the registry metadata/manifest lists no required environment variables or primary credential even though SKILL.md and the client require app_key and app_secret — this mismatch is incoherent and unexpected.
Instruction Scope
Runtime instructions are narrowly scoped to creating tasks, polling results, and optionally using a callback URL. They only target the documented openapi.wondershare.cc endpoints. Concerns: (1) SKILL.md and scripts rely on app_key/app_secret but the manifest does not declare them; (2) scripts/generate_auth_token.py prints the base64 token to stdout (could be logged); (3) the optional callback parameter means results can be POSTed to arbitrary URLs, which could leak generated content or metadata if misused.
Install Mechanism
No remote downloads or obscure installers are used. The package includes a simple requirements.txt (requests) and instructs users to pip install -r requirements.txt — this is proportionate and low risk compared to download-based installs.
Credentials
The API legitimately requires app_key and app_secret (used to build Basic <base64(...)> Authorization headers). That is proportionate to the stated purpose, but the skill metadata declares no required env vars or primary credential — a manifest omission. Additional notes: base64 encoding is reversible (not encryption); generate_auth_token prints the token, increasing chance of accidental exposure; no other unrelated secrets are requested.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and does not include persistent install steps. It runs as a client of the external API and does not install background services or system-wide changes.
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 tomoviee-image-to-video - 安装完成后,直接呼叫该 Skill 的名称或使用
/tomoviee-image-to-video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
v1.0.3
- Added requirements.txt specifying dependency on requests>=2.31.0,<3.0.0.
- Added scripts/tomoviee_image_to_video_client.py as a Python API client.
- Comprehensive SKILL.md rewrite: clarified API endpoints, authentication, credential handling, workflow, supported parameters, and file/resource structure.
- Updated client usage instructions and introduced clear async workflow documentation.
- Improved provider, endpoint provenance, and security guidance.
- Listed references and documentation resources for API and prompt/camera options.
v1.0.2
- Added _meta.json file to the project.
- Added Python bytecode cache file for tomoviee_img2video_client.py.
- No functional or documentation changes to the skill behavior.
v1.0.1
- Updated external resource links from tomoviee.cn to tomoviee.ai for the Developer Portal and API Documentation.
- No functional or API changes.
v1.0.0
- Initial release of tomoviee-img2video skill.
- Generate videos from static images and text prompts, adding motion and camera movements.
- Supports a variety of image formats (JPG, JPEG, PNG, WEBP) and multiple resolutions/aspect ratios.
- Includes Python client and authentication tools for easy integration.
- Refer to bundled scripts and external documentation for usage and API details.
元数据
常见问题
Tomoviee Image to Video 是什么?
Generate videos from image + text prompts using Tomoviee Image-to-Video API (`tm_img2video_b`) through Wondershare OpenAPI gateway (`https://openapi.wondersh... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 373 次。
如何安装 Tomoviee Image to Video?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tomoviee-image-to-video」即可一键安装,无需额外配置。
Tomoviee Image to Video 是免费的吗?
是的,Tomoviee Image to Video 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Tomoviee Image to Video 支持哪些平台?
Tomoviee Image to Video 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 Tomoviee Image to Video?
由 wondershare-boop(@wondershare-boop)开发并维护,当前版本 v1.0.3。
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