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Install in OpenClaw
/install text-to-video-bangla
Description
Skip the learning curve of professional editing software. Describe what you want — convert this Bangla text into a video with voiceover and visuals — and get...
Usage Guidance
This skill looks like a legitimate cloud text-to-video integration, but proceed cautiously: (1) The author/source and homepage are missing — verify the provider before giving credentials. (2) Only provide a NEMO_TOKEN if you trust the nemo service; prefer an ephemeral/limited token or anonymous flow for testing. (3) The skill may read standard install/config locations in your home (~/.clawhub, ~/.cursor, ~/.config/nemovideo/) to set headers — avoid installing or running it on machines with sensitive files you don't want inspected. (4) The SKILL.md asks the agent to hide technical details from the chat; expect some network activity to be opaque to end users. If you need higher assurance, ask the publisher for: a) an official homepage or privacy policy, b) clarification about the configPaths vs registry metadata mismatch, and c) what user data is retained by the backend and for how long.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-bangla
Version: 1.0.0
The skill is a legitimate integration for a Bangla text-to-video service using the nemovideo.ai API. It provides detailed instructions for the AI agent to manage sessions, upload files, and poll for video rendering status. While it requests a service-specific environment variable (NEMO_TOKEN) and performs basic platform detection for telemetry, its behavior is transparent and strictly aligned with its stated purpose of video generation without any indicators of malicious intent or data exfiltration.
Capability Assessment
Purpose & Capability
The skill's stated purpose (convert Bangla text to video) aligns with the runtime instructions that call a nemo video API and upload user files. Requiring NEMO_TOKEN and using cloud render endpoints is coherent. However, SKILL.md frontmatter lists a config path (~/.config/nemovideo/) and install-path detection rules (for X-Skill-Platform) while the registry metadata reported 'Required config paths: none' — that metadata mismatch is inconsistent and should be clarified.
Instruction Scope
Instructions are focused on session creation, SSE messaging, file upload, export polling, and credits — all expected for a cloud video renderer. Two points to note: (1) the agent is instructed to detect install path (~/.clawhub/ or ~/.cursor/skills/) to set an attribution header, which implies reading user home paths; (2) the SKILL.md explicitly tells the agent to 'keep technical details out of the chat', which can make the integration's network operations less visible to users. Both behaviors are plausible for the service but reduce transparency and slightly expand scope beyond pure 'take text and return a file'.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, which is the lowest install risk. There are no downloads or package installs referenced in SKILL.md.
Credentials
Only one credential is declared (NEMO_TOKEN) and is used as the Bearer token for the described API — that is proportional. However, SKILL.md also describes acquiring an anonymous token when NEMO_TOKEN is absent (via a POST to /api/auth/anonymous-token), and the YAML frontmatter mentions a config path not reflected in the registry metadata. The mismatch between declared required config paths in the SKILL.md frontmatter and the registry metadata is inconsistent and should be reconciled.
Persistence & Privilege
The skill does not request 'always: true' or other elevated persistent privileges. It does suggest reading certain install/config locations to detect platform headers, which is limited in scope. Autonomous invocation is enabled but that is platform default and not by itself a flag here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-bangla - After installation, invoke the skill by name or use
/text-to-video-bangla - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Text to Video Bangla
- Instantly convert Bangla text scripts into narrated videos with AI voiceover and visuals.
- Supports uploads of TXT, DOCX, PDF, SRT files up to 200MB.
- Handles video creation, editing, and exporting (MP4, MOV, and more) entirely in the cloud.
- Automatic session management and free credits for anonymous users.
- Built-in status reporting, progress updates, and error handling.
- Ideal for Bangla content creators—no editing or recording equipment required.
Metadata
Frequently Asked Questions
What is Text To Video Bangla?
Skip the learning curve of professional editing software. Describe what you want — convert this Bangla text into a video with voiceover and visuals — and get... It is an AI Agent Skill for Claude Code / OpenClaw, with 67 downloads so far.
How do I install Text To Video Bangla?
Run "/install text-to-video-bangla" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Bangla free?
Yes, Text To Video Bangla is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Bangla support?
Text To Video Bangla is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Bangla?
It is built and maintained by mory128 (@mory128); the current version is v1.0.0.
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