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Text To Video Filmora
by
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
101
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0
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0
Active Installs
1
Versions
Install in OpenClaw
/install text-to-video-filmora
Description
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...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-filmora - After installation, invoke the skill by name or use
/text-to-video-filmora - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Text To Video Filmora?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.
How do I install Text To Video Filmora?
Run "/install text-to-video-filmora" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Filmora free?
Yes, Text To Video Filmora is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Filmora support?
Text To Video Filmora is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Filmora?
It is built and maintained by vcarolxhberger (@vcarolxhberger); the current version is v1.0.0.
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