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Podcast Video Camera
作者
peandrover adam
· GitHub ↗
· v1.0.0
· MIT-0
82
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install podcast-video-camera
功能描述
Get polished podcast videos ready to post, without touching a single slider. Upload your raw footage (MP4, MOV, AVI, WebM, up to 500MB), say something like "...
安全使用建议
This skill appears to be a cloud-based video-editing front end that uploads your media to nemovideo.ai and returns edited files. Before using it, confirm: 1) The service domain (mega-api-prod.nemovideo.ai) is the official provider you expect and its privacy/retention policy is acceptable for your content, since your media will be uploaded off-device. 2) Whether the skill actually reads the suggested local config path (~/.config/nemovideo/) or the agent install path — if so, ask what data is read and why. 3) That no other sensitive credentials (AWS, GitHub, etc.) are required — the skill only needs NEMO_TOKEN and can create an anonymous token if you prefer not to supply one. Note that this is an instruction-only skill with no code for static scanning; absence of scan findings does not guarantee safety. If you need stronger guarantees, request the skill owner/source, a privacy/terms link, or an implementation that runs locally instead of uploading data to a remote API.
功能分析
Type: OpenClaw Skill
Name: podcast-video-camera
Version: 1.0.0
The skill is a functional wrapper for a cloud-based video editing service (nemovideo.ai). It defines standard procedures for authentication, session management, and file processing via REST and SSE endpoints. While it automates the acquisition of an anonymous token and uploads user-provided media to a third-party backend, these actions are consistent with the stated purpose of AI video editing. There is no evidence of unauthorized data exfiltration, local system compromise, or malicious prompt injection in SKILL.md.
能力评估
Purpose & Capability
Name/description align with instructions: cloud GPU-based AI video editing that uploads media and returns processed files. Requesting a single service token (NEMO_TOKEN) is reasonable for this purpose. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata stated no required config paths — this mismatch is unexpected and should be clarified.
Instruction Scope
Runtime instructions stay within the editing use case (obtain/use a NEMO_TOKEN, create session, upload video, poll render status, download output). They direct the agent to POST user files and use SSE for streaming, which is appropriate for a cloud edit service. A minor scope creep: the skill asks to auto-detect 'X-Skill-Platform' from the install path, which implies reading the agent's install path or environment — not strictly necessary for editing and worth confirming.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk by an installer. This is the lowest-risk install model.
Credentials
Only one credential is requested (NEMO_TOKEN), which is reasonable. The SKILL.md will auto-acquire an anonymous token if none is provided, so user secrets are not required. However, the frontmatter's configPaths entry (~/.config/nemovideo/) suggests the skill may try to read a local config directory (contradicting registry data). That could expose local files if true — ask whether that path is actually accessed and why.
Persistence & Privilege
Skill does not request 'always: true' and has no install actions that persist on disk. Autonomous invocation is allowed (platform default) but there is no elevated persistence or modification of other skills.
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 podcast-video-camera - 安装完成后,直接呼叫该 Skill 的名称或使用
/podcast-video-camera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 Podcast Video Camera — Edit and export podcast videos with AI, no manual editing required.
- Upload raw podcast video files (MP4, MOV, AVI, WebM, up to 500MB) and request edits (e.g., cut filler words, add captions).
- Automatic authentication and session management; anonymized login grants 100 free credits for 7 days.
- Cloud GPU processing delivers polished 1080p MP4 exports usually within 30–90 seconds.
- Easy-to-use commands for uploading, editing, tracking credits, and exporting finished videos.
- Designed for podcast creators seeking fast, high-quality video workflows — no need for complex editing software.
元数据
常见问题
Podcast Video Camera 是什么?
Get polished podcast videos ready to post, without touching a single slider. Upload your raw footage (MP4, MOV, AVI, WebM, up to 500MB), say something like "... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 82 次。
如何安装 Podcast Video Camera?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install podcast-video-camera」即可一键安装,无需额外配置。
Podcast Video Camera 是免费的吗?
是的,Podcast Video Camera 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Podcast Video Camera 支持哪些平台?
Podcast Video Camera 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 Podcast Video Camera?
由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。
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