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Text To Video Kling Ai
by
linmillsd7
· GitHub ↗
· v1.0.0
· MIT-0
65
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install text-to-video-kling-ai
Description
generate text prompts into AI generated clips with this skill. Works with TXT, PNG, JPG, MP4 files up to 200MB. content creators use it for generating short...
Usage Guidance
This skill appears to legitimately call a Nemovideo API and only asks for a NEMO_TOKEN, which is appropriate for video generation. Before installing, verify the backend domain (mega-api-prod.nemovideo.ai) and consider the following: (1) the SKILL.md mentions a local config path (~/.config/nemovideo/) but registry metadata does not — confirm whether the agent will read that directory and what files it might access; (2) the skill may attempt to auto-detect an install path to set X-Skill-Platform, which could require filesystem access — if you are uncomfortable, run the skill in a sandboxed environment or deny filesystem access; (3) anonymous token acquisition is automatic if no NEMO_TOKEN is present — expect outbound network calls to the auth endpoint; (4) because the skill source is unknown and there is no homepage/owner verification, consider only using a disposable or scoped token, or test in an isolated account. If you need higher assurance, ask the author for provenance (homepage, owner contact) and clarification about the config path and what the agent will inspect on your system.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-kling-ai
Version: 1.0.0
The skill bundle provides a functional integration for a text-to-video service hosted at nemovideo.ai. The SKILL.md file contains detailed instructions for the AI agent to manage sessions, handle authentication (including anonymous token acquisition), and map backend GUI-style responses to API actions. There is no evidence of data exfiltration, malicious code execution, or harmful prompt injection; the requested environment variables and headers are consistent with the stated purpose of interacting with the video generation API.
Capability Assessment
Purpose & Capability
The skill is about generating videos via Kling/Nemovideo and asks for a single credential (NEMO_TOKEN) and calls nemovideo API endpoints — that is coherent. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata earlier reported no required config paths, creating an inconsistency about whether the skill will access a local config directory.
Instruction Scope
Runtime instructions tell the agent to use NEMO_TOKEN or obtain an anonymous token by POSTing to an external endpoint (expected). But the skill also requires three attribution headers and says X-Skill-Platform should be auto-detected from the install path — this implicitly asks the agent to inspect its install path or filesystem (ambiguous). The SKILL.md also instructs the agent to keep technical details out of chat, which could obscure network activity from users. These points are vague and grant the agent discretionary filesystem/network actions beyond simply calling the service.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing will be downloaded or written by an installer as part of the skill package itself.
Credentials
Only one env var (NEMO_TOKEN) is declared which fits the purpose. However, the SKILL.md frontmatter's mention of a config path (~/.config/nemovideo/) is not reflected in registry metadata; if the agent reads that path it could access local stored tokens or other files. The skill also instructs automatic anonymous token acquisition if no token is present, meaning it will call an external auth endpoint and store/use a transient token — reasonable for the service but something to be aware of.
Persistence & Privilege
always:false (no forced permanent presence). The skill creates short-lived sessions with the remote service but does not request elevated platform privileges or modify other skills/configs in the package. No evidence it writes persistent system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-kling-ai - After installation, invoke the skill by name or use
/text-to-video-kling-ai - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Text to Video Kling AI — Generate Videos from Text Prompts.
- Generate AI videos from text prompts or uploaded files (txt, png, jpg, mp4; up to 200MB).
- Supports quick and batch workflows for content creators, returning 1080p MP4 clips in 1–3 minutes.
- Automatic backend connection and session management; requires NEMO_TOKEN or acquires free starter token.
- Simple, chat-based commands to generate, edit, and download videos; check credits, status, or upload files.
- Error handling for tokens, file types, credits, rate limits, and session state.
Metadata
Frequently Asked Questions
What is Text To Video Kling Ai?
generate text prompts into AI generated clips with this skill. Works with TXT, PNG, JPG, MP4 files up to 200MB. content creators use it for generating short... It is an AI Agent Skill for Claude Code / OpenClaw, with 65 downloads so far.
How do I install Text To Video Kling Ai?
Run "/install text-to-video-kling-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Kling Ai free?
Yes, Text To Video Kling Ai is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Kling Ai support?
Text To Video Kling Ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Kling Ai?
It is built and maintained by linmillsd7 (@linmillsd7); the current version is v1.0.0.
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