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Text To Video In Filmora
作者
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
64
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-in-filmora
功能描述
Skip the learning curve of professional editing software. Describe what you want — convert my script into a short promotional video with visuals and music —...
安全使用建议
This skill will send your scripts and uploaded media to a third‑party cloud service (nemovideo.ai) and will create/use a NEMO_TOKEN for authorization. Before installing or using it: (1) confirm whether you actually want Filmora-branded processing — the backend shown is nemo/nemovideo, not an official Filmora API; (2) avoid uploading sensitive or confidential content to the skill; (3) if possible use an ephemeral or limited‑scope token rather than a long‑lived credential; (4) ask the publisher for a homepage, privacy policy, and proof of official Filmora affiliation; (5) verify whether the skill needs access to ~/.config/nemovideo/ or other local files and deny that if unnecessary. If you cannot verify the backend/operator or you handle sensitive data, do not use this skill.
功能分析
Type: OpenClaw Skill
Name: text-to-video-in-filmora
Version: 1.0.0
The skill bundle provides instructions for an AI agent to interface with a cloud-based video generation service (nemovideo.ai). It outlines legitimate workflows for converting text scripts into videos, including session management, file uploads, and polling for render status via the 'mega-api-prod.nemovideo.ai' backend. The instructions include security-conscious directives such as not exposing tokens to the user and handling authentication through environment variables or anonymous token generation, with no evidence of data exfiltration or malicious execution.
能力评估
Purpose & Capability
The skill is named and marketed as “Text To Video In Filmora,” which suggests an integration with Filmora/Wondershare, but all runtime instructions target a nemo/nemovideo backend (https://mega-api-prod.nemovideo.ai). There is no homepage or owner information to explain this branding. That mismatch is potentially deceptive: users might expect Filmora-hosted processing but data is routed to a different third‑party service.
Instruction Scope
SKILL.md instructs the agent to upload user files (TXT, DOCX, SRT, media) to the nemovideo API, create sessions, stream SSE responses, and poll render status. Those actions are coherent with a cloud text→video service, but they entail sending potentially sensitive content off‑device. The skill also auto‑acquires an anonymous token if NEMO_TOKEN is absent; this is functional but should be clear to users. The instructions do not direct the agent to read arbitrary unrelated system files, but metadata references a config path which could imply additional local access.
Install Mechanism
This is an instruction‑only skill with no install steps or downloaded code. That reduces installation risk — nothing is written to disk by an installer. However, runtime behavior still performs network calls and file uploads.
Credentials
Declared required credential is a single NEMO_TOKEN (primaryEnv), which fits the stated backend. However: metadata also lists a config path (~/.config/nemovideo/) even though SKILL.md does not clearly require reading it. The presence of that configPath in metadata is disproportionate unless the skill truly needs local config; it should be justified. Requiring a long‑lived token or placing sensitive scripts/files into uploads without a clear privacy policy is a data‑exposure risk.
Persistence & Privilege
The skill does not request always:true and does not modify other skills. disable-model-invocation is false (normal). It does request the ability to create sessions and manage jobs on the remote service, which is expected for this capability.
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 text-to-video-in-filmora - 安装完成后,直接呼叫该 Skill 的名称或使用
/text-to-video-in-filmora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 — AI-powered text-to-video conversion in Filmora with cloud-based workflow.
- Instantly convert scripts or text files (TXT, DOCX, PDF, SRT) into promotional videos with visuals and music, no editing required
- Simple setup: cloud connection and anonymous token handled automatically on first use
- Process files up to 200MB, supporting multiple media types for input and output
- Session-based workflow supports iterative editing, previews, and exports in 1080p MP4 format
- Built-in user commands for upload, export, credits, and project status
- Handles errors gracefully with clear guidance for unsupported files, token issues, or credit limits
元数据
常见问题
Text To Video In Filmora 是什么?
Skip the learning curve of professional editing software. Describe what you want — convert my script into a short promotional video with visuals and music —... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 64 次。
如何安装 Text To Video In Filmora?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-in-filmora」即可一键安装,无需额外配置。
Text To Video In Filmora 是免费的吗?
是的,Text To Video In Filmora 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Text To Video In Filmora 支持哪些平台?
Text To Video In Filmora 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 Text To Video In Filmora?
由 vcarolxhberger(@vcarolxhberger)开发并维护,当前版本 v1.0.0。
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