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Text To Video Editor
by
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
82
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install text-to-video-editor
Description
Skip the learning curve of professional editing software. Describe what you want — turn this script into a 30-second video with visuals and background music...
Usage Guidance
This skill appears to be what it says (a cloud text→video editor) and only asks for the service token it needs, but there are a few unclear points you should consider before installing or enabling it: 1) Source is unknown — verify the provider (nemovideo.ai) and whether you trust it with uploaded script files (uploads can include sensitive text and media). 2) The skill will either use NEMO_TOKEN from your environment or automatically request an anonymous token on your behalf; decide whether you want the agent to mint tokens silently or provide a token yourself. 3) Ask where session_id and tokens are saved: in-memory is safer than writing to disk/config folders; confirm the agent will not persist tokens in user config. 4) The SKILL.md references reading install paths to set an X-Skill-Platform header — confirm the agent will not scan unrelated filesystem locations. 5) If you plan to upload sensitive files, restrict autonomous invocation or require explicit user approval each time. If you need higher assurance, request the skill author to (a) remove ambiguous filesystem access, (b) document exactly where tokens/session IDs are stored, and (c) publish a verifiable source/homepage before using it with real data.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-editor
Version: 1.0.0
The skill bundle provides a functional integration for a text-to-video editing service via the nemovideo.ai API. It contains instructions for the AI agent to handle authentication (NEMO_TOKEN), session management, and file uploads to a remote GPU-based rendering backend. All network activity and file access (e.g., reading scripts and uploading media) are consistent with the stated purpose of the tool, and no indicators of malicious intent, data exfiltration, or unauthorized execution were found.
Capability Assessment
Purpose & Capability
The name and description (text→video rendering) align with the only declared credential (NEMO_TOKEN). However, the SKILL.md metadata includes a required config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — an inconsistency. Also the instructions expect to emit an X-Skill-Platform header derived from an install path (~/.clawhub/, ~/.cursor/skills/) even though this skill has no install spec; that implies the skill may read filesystem paths not declared in the registry metadata.
Instruction Scope
Runtime instructions are mostly limited to interacting with the remote nemovideo.ai API (auth, session creation, SSE, upload, export). This is expected for a cloud rendering skill. Concerning points: (1) the skill tells the agent to automatically POST for an anonymous token if NEMO_TOKEN is unset (it also instructs to not show raw token values to the user), giving the agent discretion to obtain and manage credentials; (2) it says to "store the returned session_id for all subsequent requests" but doesn't specify where or how (memory vs disk vs agent config); (3) header construction requires detecting an install path which may cause the agent to check filesystem locations. None of these are proof of malice but they are ambiguous and expand what the agent may read/store.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest-risk install mechanism (nothing is downloaded or extracted).
Credentials
Only NEMO_TOKEN is required, which is proportionate to a third-party video rendering API. Still, the skill's ability to mint anonymous tokens on the user's behalf and the unclear guidance about session token persistence increase the risk of credential leakage or unintended long-lived tokens. The SKILL.md metadata referencing a config path (~/.config/nemovideo/) that could contain credentials is also inconsistent with the registry manifest and should be clarified.
Persistence & Privilege
always:false and no install steps — the skill does not request permanent, forced inclusion. It does instruct keeping a session_id for the life of the session and notes that closing a tab may orphan jobs, but it does not request elevated system privileges or modifications to other skills' configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-editor - After installation, invoke the skill by name or use
/text-to-video-editor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Text to Video Editor (v1.0.0).
- Instantly convert scripts (TXT, DOCX, PDF, SRT up to 500MB) into shareable AI-generated videos in 1–2 minutes.
- Simple authentication: one-click connection with 100 free credits (valid 7 days, no sign-up required).
- Supports user prompts for exporting videos, checking credits, viewing project status, and uploading files.
- Cloud-based GPU rendering delivers high-quality MP4 (up to 1080p) and other video/audio formats.
- Designed for marketers, educators, and creators to turn written content into videos without manual editing.
Metadata
Frequently Asked Questions
What is Text To Video Editor?
Skip the learning curve of professional editing software. Describe what you want — turn this script into a 30-second video with visuals and background music... It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.
How do I install Text To Video Editor?
Run "/install text-to-video-editor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Editor free?
Yes, Text To Video Editor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Editor support?
Text To Video Editor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Editor?
It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.
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