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Text To Video Kaise Banaye
by
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
75
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0
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0
Active Installs
1
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Install in OpenClaw
/install text-to-video-kaise-banaye
Description
Turn a 100-word product description in Hindi into 1080p AI generated videos just by typing what you need. Whether it's converting written content into videos...
Usage Guidance
This skill appears to do what it says (calls nemo video APIs) and only asks for one credential (NEMO_TOKEN), but there are a few things to consider before installing:
- Network endpoints: all API calls go to mega-api-prod.nemovideo.ai. If you have policy concerns about that domain, do not install.
- Token handling: the skill will auto-request an anonymous token if NEMO_TOKEN is not present and suggests storing session_id/token for later use. If you prefer control, set NEMO_TOKEN yourself rather than letting the skill create one automatically, and periodically revoke tokens you don't recognize.
- Filesystem probing: the instructions ask the agent to detect install paths (e.g., ~/.clawhub, ~/.cursor) and read frontmatter for attribution headers. That requires reading parts of your home directory — if you don’t want a skill to probe your filesystem, do not install or restrict its runtime permissions.
- Reduced transparency: the SKILL.md tells the agent not to show raw API responses or token values to users. While this can be normal for UX, it also hides internal outputs; be cautious and monitor network/activity if you install.
If possible, ask the skill author to clarify where session tokens are stored, why install-path detection is necessary, and to document any local file reads. If you proceed, prefer providing your own NEMO_TOKEN and review/rotate it regularly.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-kaise-banaye
Version: 1.0.0
The skill bundle is a legitimate integration for an AI video generation service (nemovideo.ai). It provides detailed instructions for the agent to manage authentication via anonymous tokens, handle session states, and interact with a specific API (mega-api-prod.nemovideo.ai) for video rendering and file uploads. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
Capability Assessment
Purpose & Capability
The skill's name/description align with the APIs it documents (video render, upload, export) and the single required env var (NEMO_TOKEN) is appropriate for a video-rendering service. Minor mismatch: the registry metadata listed no required config paths, but the SKILL.md frontmatter includes configPaths (~/.config/nemovideo/) — it's plausible but inconsistent.
Instruction Scope
Runtime instructions include network calls to https://mega-api-prod.nemovideo.ai for anonymous-token creation, session creation, SSE streaming, uploads and exports (expected). Concerns: the skill instructs the agent to 'detect install path' (probing ~/.clawhub, ~/.cursor, etc.) and to read the SKILL.md YAML frontmatter at runtime for attribution headers — both require local filesystem access beyond the purely networked video workflow. It also instructs the agent to suppress showing raw API responses or token values to the user, which reduces transparency and could hide unexpected behavior.
Install Mechanism
No install spec and no code files (instruction-only). This is lower-risk because nothing is downloaded or written by an installer.
Credentials
Only NEMO_TOKEN is required, which is proportionate for an externally hosted video service. However, the frontmatter claims a config path (~/.config/nemovideo/) and instructions imply storing session_id/token for later requests — it's unclear where and how tokens/session IDs are persisted. The skill's instruction to auto-generate anonymous tokens (server-side returns token) is reasonable for convenience but increases the chance a token is created and stored without explicit user action.
Persistence & Privilege
always:false (not force-included) and no installation steps that alter other skills or system-wide settings. The only persistence implied is storing a session_id/token for subsequent API calls; the SKILL.md does not explicitly request system-wide config changes or other skills' credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-kaise-banaye - After installation, invoke the skill by name or use
/text-to-video-kaise-banaye - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Instantly convert Hindi text prompts into 1080p AI-generated MP4 videos.
- Accepts 100-word product descriptions or any text, adds background music/subtitles, outputs videos in 1–2 minutes.
- Streams all video creation and edit steps via cloud GPUs—no local install required.
- Automatic backend connection and token authentication for new users.
- Simple prompt-based UX: export, upload, check credits, fetch status, or just describe your ideal video.
- Clean session management and auto error handling for token/session/credit issues.
- Supports batch and iterative workflows; exports in MP4 and other popular formats.
Metadata
Frequently Asked Questions
What is Text To Video Kaise Banaye?
Turn a 100-word product description in Hindi into 1080p AI generated videos just by typing what you need. Whether it's converting written content into videos... It is an AI Agent Skill for Claude Code / OpenClaw, with 75 downloads so far.
How do I install Text To Video Kaise Banaye?
Run "/install text-to-video-kaise-banaye" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Kaise Banaye free?
Yes, Text To Video Kaise Banaye is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Kaise Banaye support?
Text To Video Kaise Banaye is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Kaise Banaye?
It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.
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