← Back to Skills Marketplace
Text To Video In Filmora
by
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
64
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install text-to-video-in-filmora
Description
Skip the learning curve of professional editing software. Describe what you want — convert my script into a short promotional video with visuals and music —...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-in-filmora - After installation, invoke the skill by name or use
/text-to-video-in-filmora - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Text To Video In Filmora?
Skip the learning curve of professional editing software. Describe what you want — convert my script into a short promotional video with visuals and music —... It is an AI Agent Skill for Claude Code / OpenClaw, with 64 downloads so far.
How do I install Text To Video In Filmora?
Run "/install text-to-video-in-filmora" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video In Filmora free?
Yes, Text To Video In Filmora is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video In Filmora support?
Text To Video In Filmora is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video In Filmora?
It is built and maintained by vcarolxhberger (@vcarolxhberger); the current version is v1.0.0.
More Skills