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MiVisionForgeSVOR

作者 Fei Wang · GitHub ↗ · v1.0.4 · MIT-0
cross-platform ✓ 安全检测通过
224
总下载
3
收藏
0
当前安装
6
版本数
在 OpenClaw 中安装
/install mi-visionforge-svor
功能描述
Video Object Remove with SVOR(stable video object removal).
安全使用建议
This skill appears to do what it claims, but it uploads your full video files to https://mipixgen-pre.ai.mioffice.cn for processing. Before installing/use: (1) only test with non-sensitive videos; (2) verify the origin and legitimacy of the SVOR_API_KEY and the service URL (the repo and domain are cited in SKILL.md but the skill package lists no homepage); (3) run in an isolated environment if you are unsure; (4) don't store the API key in shared or public places; (5) ensure python3, ffmpeg and the requests package are available; (6) review the remainder of the script (there was a truncated listing in the manifest you provided) to confirm no additional endpoints or behaviors are present. If you need higher assurance, ask the publisher for provenance or prefer a published release from a known repository.
功能分析
Type: OpenClaw Skill Name: mi-visionforge-svor Version: 1.0.4 The MiVisionForge-SVOR skill bundle provides a legitimate tool for video object removal using the SVOR API. The core logic in `scripts/video_remove.py` uses `ffmpeg` for local video processing and the `requests` library to communicate with a Xiaomi-hosted service (mipixgen-pre.ai.mioffice.cn). While the skill involves uploading video files to a remote endpoint, this behavior is clearly documented in `SKILL.md` along with a privacy warning. The script handles the `SVOR_API_KEY` securely via environment variables and lacks any indicators of malicious intent, such as data exfiltration of sensitive local files or unauthorized command execution.
能力评估
Purpose & Capability
Name/description, required binaries (python3, ffmpeg), and the single required env var (SVOR_API_KEY) align with a cloud-backed video object removal tool. The code posts videos and masks to the stated BASE_URL and uses ffmpeg for local processing — all expected for this purpose.
Instruction Scope
SKILL.md and the script instruct reading the input video, compressing/processing it, uploading it to the remote SVOR service, downloading masks/results, and merging masks locally. The script reads only the video and local temp files necessary for processing; no unexpected file-system or credential access is present in reviewed sections.
Install Mechanism
No install spec (instruction-only with an included script). This is lower risk; the script depends on existing python3, ffmpeg, and the requests Python package (not installed automatically). No remote arbitrary installers or extracted archives were used.
Credentials
Only SVOR_API_KEY is required as an environment credential, which is proportionate for authenticating to the remote SVOR service. The script does not request unrelated secrets or config paths.
Persistence & Privilege
Skill is not always-enabled and requests no system-wide persistence or modification of other skills. It runs as an on-demand CLI script and does not attempt to alter other agent settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install mi-visionforge-svor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mi-visionforge-svor 触发
  4. 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
v1.0.5
- 更新了服务运营商名称,由“小米Tools团队”改为“小米大模型应用团队” - 隐私与安全声明中的相关团队名称同步更新 - 其他内容未变,功能与参数保持一致
v1.0.4
- Updated skill description to a concise English summary. - Removed detailed usage instructions, background, and step-by-step guides from the skill manifest. - Kept main functionality, dependencies, parameters, and privacy notes unchanged. - No file or functional changes detected; documentation only.
v1.0.3
- 限制单次可消除视频长度由 5 秒调整为 3 秒 - 其余功能与参数说明保持不变
v1.0.2
- SKILL.md 描述明显标明只支持最长5秒视频内容消除。
v1.0.1
- 修复api_key传入代码逻辑
v1.0.0
MiVisionForge-SVOR v1.0.0 - Initial release: Implements stable video object removal (SVOR) skill via command line, powered by Xiaomi Tools team cloud service. - Supports multi-class object segmentation and removal with VLM-based smart recommendations and flexible annotation (text/point/box). - Requires transmitting videos to the Xiaomi-operated cloud for processing; results returned via expiring URL. - Offers both stepwise (segmentation + removal) and one-step command-line workflows for various scenarios. - Includes detailed usage instructions, parameter explanations, error codes, and privacy guidelines.
元数据
Slug mi-visionforge-svor
版本 1.0.4
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 6
常见问题

MiVisionForgeSVOR 是什么?

Video Object Remove with SVOR(stable video object removal). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 224 次。

如何安装 MiVisionForgeSVOR?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install mi-visionforge-svor」即可一键安装,无需额外配置。

MiVisionForgeSVOR 是免费的吗?

是的,MiVisionForgeSVOR 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

MiVisionForgeSVOR 支持哪些平台?

MiVisionForgeSVOR 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 MiVisionForgeSVOR?

由 Fei Wang(@wangfei1204)开发并维护,当前版本 v1.0.4。

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