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susan4731-wilfordf

Text To Video Chinese Ai

by susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
42
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1
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Install in OpenClaw
/install text-to-video-chinese-ai
Description
Get Chinese AI videos ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, SRT, up to 200MB), say something like "conve...
Usage Guidance
This skill appears to implement a legitimate text→video workflow and only needs the service token (NEMO_TOKEN) to operate, but there are a few things to check before installing: 1) Clarify the config-path behavior: ask the publisher why the SKILL.md frontmatter references ~/.config/nemovideo/ and whether the skill will read or write files there; if you don't want local config read, deny that access. 2) Prefer to supply your own NEMO_TOKEN rather than allowing the skill to generate anonymous tokens automatically; anonymous-token creation means the skill will make outbound network calls without explicit user action. 3) Ask where session_id and tokens are stored and whether they persist across runs; persistent storage could expose credentials. 4) Because the skill hides raw API responses/tokens from the user, monitor network activity or audit logs if possible. If the publisher cannot clearly explain the config-path and storage behavior, treat the skill as higher risk and avoid installing it on sensitive accounts or machines.
Capability Analysis
Type: OpenClaw Skill Name: text-to-video-chinese-ai Version: 1.0.0 The skill facilitates text-to-video generation by integrating with the `nemovideo.ai` API. It handles authentication, session management, and file uploads (up to 200MB) to a cloud rendering pipeline as described in its documentation. No evidence of data exfiltration, malicious execution, or prompt injection was found; all actions are aligned with the stated purpose of converting Chinese text into video content.
Capability Assessment
Purpose & Capability
The declared primary credential (NEMO_TOKEN) and the API endpoints in the instructions line up with a cloud text→video service — this is expected. However, the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/) while the registry metadata shown earlier did not declare any required config paths; that mismatch is unexplained and suggests the skill may attempt to read user config files that are not documented in the registry.
Instruction Scope
Runtime instructions direct the agent to (a) automatically connect on first use, (b) POST to the nemovideo API to obtain an anonymous token when NEMO_TOKEN is not present, (c) store a session_id for subsequent calls, and (d) suppress display of raw API responses/tokens to users. Those behaviors are plausible for this service, but the instructions do not state where session tokens are stored or whether the skill will read local config files — and the directive to hide raw token/response data reduces transparency for users.
Install Mechanism
This is an instruction-only skill with no install spec and no bundled code. That minimizes disk-write and supply-chain risk.
Credentials
Requesting a single service token (NEMO_TOKEN) is proportional to the described functionality. However, the SKILL.md frontmatter's configPaths (~/.config/nemovideo/) would grant access to a user directory that could contain credentials or other data; this access is not declared in the registry metadata and has no justification in the prose, creating an inconsistency and privacy concern.
Persistence & Privilege
The skill does not request 'always: true' and is not asking for elevated platform privileges. Still, it instructs the agent to 'store' the session_id and to create an anonymous token when no NEMO_TOKEN is present — the storage location/mechanism is unspecified. Combined with the unexplained configPath in the frontmatter, this creates uncertainty about whether the skill will write persistent data or read existing local credentials.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install text-to-video-chinese-ai
  3. After installation, invoke the skill by name or use /text-to-video-chinese-ai
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Text to Video Chinese AI — Initial Release - Instantly generate 1080p AI videos from Chinese text prompts; supports TXT, DOCX, PDF, and SRT uploads up to 200MB. - Automatic session setup with free 7-day/100-credit tokens for new users. - Export high-quality MP4 videos with video, audio, and text tracks—optimized for Chinese social platforms. - Fast cloud rendering pipeline (30–90 seconds typical); supports batch and iterative workflows. - Seamless command routing for exporting, checking credits, uploading, and session state. - Clear error handling and guidance for file, token, and credit issues.
Metadata
Slug text-to-video-chinese-ai
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Text To Video Chinese Ai?

Get Chinese AI videos ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, SRT, up to 200MB), say something like "conve... It is an AI Agent Skill for Claude Code / OpenClaw, with 42 downloads so far.

How do I install Text To Video Chinese Ai?

Run "/install text-to-video-chinese-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Text To Video Chinese Ai free?

Yes, Text To Video Chinese Ai is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Text To Video Chinese Ai support?

Text To Video Chinese Ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Text To Video Chinese Ai?

It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.

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