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vcarolxhberger

Text To Video Filmora

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
101
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-filmora
功能描述
convert text prompts into AI generated videos with this skill. Works with TXT, DOCX, SRT, MP4 files up to 200MB. content creators use it for converting writt...
安全使用建议
Before installing: verify you trust the domain (mega-api-prod.nemovideo.ai) and the skill author (source is unknown). Understand that any files you upload (text, DOCX, SRT, MP4) will be transmitted to that external service — do not upload sensitive material unless you accept that. Ask the publisher to clarify the frontmatter vs registry metadata mismatch (the SKILL.md lists ~/.config/nemovideo/ and install-path heuristics); confirm whether the skill will inspect those paths or other files. Prefer using an anonymous ephemeral token when possible and avoid putting long-lived, high-privilege credentials in NEMO_TOKEN unless you trust the service. If you proceed, monitor activity and be prepared to revoke the token and remove any local config the skill may create. If you need higher assurance, request the skill's source/homepage or ask for an author signature before installing.
功能分析
Type: OpenClaw Skill Name: text-to-video-filmora Version: 1.0.0 The skill is a functional wrapper for a text-to-video service hosted at mega-api-prod.nemovideo.ai. It provides detailed instructions for the AI agent to manage authentication (via NEMO_TOKEN or anonymous UUID), session state, and file uploads for video processing. The instructions include security-conscious directives such as not printing raw tokens or JSON in the chat. While the service uses a third-party domain for 'Filmora' branded functionality, the code and instructions are consistent with the stated purpose and lack indicators of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
The skill claims to convert text to video and only requests a single service credential (NEMO_TOKEN) and uses documented API endpoints on mega-api-prod.nemovideo.ai — this matches the claimed purpose. Note: the skill's YAML frontmatter lists a config path (~/.config/nemovideo/) but the registry metadata earlier said no config paths; that's an inconsistency to clarify.
Instruction Scope
Runtime instructions direct the agent to: use NEMO_TOKEN (or obtain an anonymous token), create sessions, upload user files (multipart file uploads or URLs), stream SSEs, and poll renders. These actions are expected for a cloud video service. The instructions also tell the agent to derive an X-Skill-Platform header by inspecting install paths (e.g., ~/.clawhub/, ~/.cursor/skills/), which requires reading filesystem paths — not strictly necessary for core functionality and worth asking about. The skill does not instruct reading unrelated environment secrets.
Install Mechanism
This is instruction-only with no install spec and no code files — nothing is written to disk by an installer. That minimizes install-time risk.
Credentials
Only one credential is declared (NEMO_TOKEN) which is proportional for a service API. The SKILL.md also references a config path in frontmatter (~/.config/nemovideo/), which could imply reading local config files; the registry metadata did not list that path. Confirm whether the skill will access that directory and why.
Persistence & Privilege
always:false (default) and no install-time persistence is requested. The agent is instructed to save session_id for the user's session (expected). Autonomous invocation is allowed by default — this is normal but increases blast radius if the skill were malicious (no other red flags here).
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 text-to-video-filmora
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-filmora 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
v1.0.0
Text to Video Filmora Skill — Initial Release - Instantly converts scripts and text prompts into AI-generated 1080p videos (MP4). - Supports TXT, DOCX, SRT, MP4 files up to 200MB; allows upload and download directly in chat. - Fast processing (1-2 minutes) using cloud GPUs; outputs shareable high-quality videos. - Auto-setup handles authentication and session; free tokens available (no registration required). - Easy workflows: quick edits, batch processing, and iterative refinement with full timeline previews. - Built-in error handling covers credits, file limits, export eligibility, and API status updates.
元数据
Slug text-to-video-filmora
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Text To Video Filmora 是什么?

convert text prompts into AI generated videos with this skill. Works with TXT, DOCX, SRT, MP4 files up to 200MB. content creators use it for converting writt... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 101 次。

如何安装 Text To Video Filmora?

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

Text To Video Filmora 是免费的吗?

是的,Text To Video 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 Filmora 支持哪些平台?

Text To Video 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 Filmora?

由 vcarolxhberger(@vcarolxhberger)开发并维护,当前版本 v1.0.0。

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