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Subtitle Generator Green Screen
作者
peandrover adam
· GitHub ↗
· v1.0.0
· MIT-0
118
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install subtitle-generator-green-screen
功能描述
Turn a 2-minute green screen presentation clip into 1080p captioned green screen videos just by typing what you need. Whether it's adding subtitles to green...
安全使用建议
Before installing or enabling this skill: 1) Confirm the domain (mega-api-prod.nemovideo.ai) is the official service you expect and check their privacy/retention policy—your video files are uploaded to that domain. 2) Ask where the skill will store the anonymous token and session_id (in-memory only vs. written to ~/.config/nemovideo/) and how long those credentials are kept. 3) Decide whether you want the skill to auto-create anonymous tokens on your behalf; if not, pre-provision NEMO_TOKEN and deny auto-creation. 4) Be aware the instructions intentionally hide raw API responses and tokens from the user—request transparency (logs, job IDs) if you need auditability. 5) If you have sensitive content, avoid uploading it until you confirm the vendor, storage/retention, and access controls.
功能分析
Type: OpenClaw Skill
Name: subtitle-generator-green-screen
Version: 1.0.0
The skill is a legitimate integration for a video processing service hosted at nemovideo.ai. It implements standard API authentication (anonymous token generation), session management, and file upload/rendering workflows. The instructions in SKILL.md are consistent with the stated purpose of generating subtitles for green screen videos and do not attempt to exfiltrate sensitive data, execute unauthorized commands, or hide malicious behavior. All network activity is directed to the service's production API (mega-api-prod.nemovideo.ai).
能力评估
Purpose & Capability
The skill claims to add subtitles and export composited green-screen videos and only requires a NEMO_TOKEN to talk to a nemo video backend—this is coherent. However, the SKILL.md YAML declares a required config path (~/.config/nemovideo/) while the registry metadata shown earlier listed no required config paths. That mismatch is an internal inconsistency worth confirming.
Instruction Scope
The runtime instructions are explicit about creating a session, uploading user video files to https://mega-api-prod.nemovideo.ai, streaming SSE responses, and polling render status. These actions are expected for a cloud render/subtitle service. Two things to notice: (1) if NEMO_TOKEN is not present the skill will automatically POST to an anonymous-token endpoint and treat the returned token as NEMO_TOKEN (i.e., it will acquire credentials on the user's behalf); (2) the doc says 'Don't display raw API responses or token values to the user,' which is reasonable for hiding secrets but also reduces transparency—ask how and where tokens/session IDs are stored and for what retention period. The instructions also derive platform headers by inspecting install paths (~/.clawhub/, ~/.cursor/skills/), which implies the agent will read its environment/paths to compute headers.
Install Mechanism
No install spec and no code files — this is instruction-only. That is low risk from an installation standpoint because nothing arbitrary will be downloaded or written by an installer step described here.
Credentials
Only NEMO_TOKEN is declared as a required environment variable, which is proportionate to a cloud API integration. Caveats: the skill will create an anonymous token if none is present (it expects to store that token and session_id for subsequent requests). Also the SKILL.md metadata references a local config path (~/.config/nemovideo/) which suggests the skill may read/write a config file in the user's home directory—this should be verified and justified.
Persistence & Privilege
always:false (normal). The instructions instruct the agent to persist an anonymous token and session_id for subsequent requests and reference a potential config path. Persisting tokens/sessions and writing a config under ~/.config/nemovideo/ are legitimate for a client that resumes jobs, but this is additional persistence and should be disclosed. There's no evidence the skill modifies other skills or system-wide settings.
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 subtitle-generator-green-screen - 安装完成后,直接呼叫该 Skill 的名称或使用
/subtitle-generator-green-screen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 Subtitle Generator Green Screen.
- Instantly add subtitles to green screen videos and export as 1080p MP4 via cloud rendering.
- Simple workflow: upload footage, describe edits, and download results in 30–60 seconds.
- Automatic authentication with free trial credits (100, valid 7 days).
- Supports video, image, and audio uploads (most common formats accepted, up to 500MB).
- Clear mapping of user prompts to upload, edit, preview, export, and credits actions.
- Robust error handling and progress updates during processing.
元数据
常见问题
Subtitle Generator Green Screen 是什么?
Turn a 2-minute green screen presentation clip into 1080p captioned green screen videos just by typing what you need. Whether it's adding subtitles to green... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 118 次。
如何安装 Subtitle Generator Green Screen?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install subtitle-generator-green-screen」即可一键安装,无需额外配置。
Subtitle Generator Green Screen 是免费的吗?
是的,Subtitle Generator Green Screen 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Subtitle Generator Green Screen 支持哪些平台?
Subtitle Generator Green Screen 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 Subtitle Generator Green Screen?
由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。
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