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Text To Video In Runway
by
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
77
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0
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0
Active Installs
1
Versions
Install in OpenClaw
/install text-to-video-in-runway
Description
Get AI-generated video clips ready to post, without touching a single slider. Upload your text prompts (MP4, MOV, WebM, GIF, up to 500MB), say something like...
Usage Guidance
This skill appears to be a wrapper for a nemovideo.ai text→video API and will upload media and call external endpoints. Before installing or using it:
- Confirm you trust the domain (mega-api-prod.nemovideo.ai) and its privacy/storage policies, since uploads can be up to 500MB and may be retained on their servers.
- Understand that if you don't provide NEMO_TOKEN the skill will automatically request an anonymous token and use it — the skill explicitly instructs the agent to hide those technical steps from the chat, so you may not see that exchange.
- Ask the skill author to clarify the metadata/configPaths mismatch (~/.config/nemovideo/ present in SKILL.md but not in registry metadata) and whether any local config or tokens are written or read.
- Check what metadata or headers (X-Skill-Source, X-Skill-Version, X-Skill-Platform) are sent with your uploads and whether that data is acceptable to share.
- If you handle sensitive video/audio content, avoid uploading it until you have explicit confirmation about retention, access controls, and whether any obtained anonymous tokens persist beyond the session.
If the answers are satisfactory (trusted service, clear retention/consent, and the metadata mismatch explained), the skill's behavior is reasonable for its purpose. If not, do not install or provide credentials.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-in-runway
Version: 1.0.0
The skill exhibits brand impersonation by claiming to be a 'Runway' video generator while routing all data and authentication to an unrelated third-party domain (mega-api-prod.nemovideo.ai). It specifically instructs the agent to hide technical details and backend communications from the user, and to automatically generate client identifiers and tokens. The discrepancy between the advertised service and the actual backend infrastructure, combined with instructions to suppress operational transparency, suggests a potential phishing or data collection risk.
Capability Assessment
Purpose & Capability
The skill claims to perform text→video via a nemovideo.ai backend and the SKILL.md exclusively references that API and related endpoints — this is coherent. However, the registry metadata at the top of the package lists no required config paths while the SKILL.md frontmatter declares a configPaths entry (~/.config/nemovideo/), which is an internal inconsistency that should be clarified.
Instruction Scope
Instructions tell the agent to use NEMO_TOKEN if present or automatically obtain an anonymous token by POSTing to an external endpoint. The skill also instructs the agent to 'keep the technical details out of the chat' (i.e., hide network/auth steps from the user). These behaviors expand the agent's actions beyond simply calling an API with a user-provided key — they allow the skill to create credentials and perform network calls on the user's behalf without explicit, visible consent, and they require adding custom attribution headers to every request.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so it does not write or execute bundled code on disk. This is the lowest-risk install mechanism.
Credentials
The only declared required credential is NEMO_TOKEN (primaryEnv), which aligns with a cloud API integration. That said, the SKILL.md instructs the agent to create and use an anonymous token if NEMO_TOKEN is absent — effectively giving the skill the ability to obtain credentials automatically. Also note the frontmatter's configPaths entry (~/.config/nemovideo/) is not reflected in registry metadata, an inconsistency that could conceal expectations about local config access.
Persistence & Privilege
The skill does not request always:true and has no install-time persistence. It does describe session IDs and render job lifetimes on the backend, but nothing in the package requests permanent system-wide presence or modification of other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-in-runway - After installation, invoke the skill by name or use
/text-to-video-in-runway - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — generate AI video clips from text prompts, connect to backend, manage sessions and exports.
- Upload text or video/image/audio files (up to 500MB) and generate video clips based on scene descriptions.
- Automatic connection and token management, including free starter tokens if needed.
- 1080p MP4 export with cloud rendering; credits and session-based workflow.
- Chat commands for upload, export, credits, and status; responsive to common use cases for content creators and marketers.
- Backend error handling and session recovery (expired tokens, no credits, etc.).
- Backend-to-user translation for common editing scenarios; timeline summaries for clarity.
Metadata
Frequently Asked Questions
What is Text To Video In Runway?
Get AI-generated video clips ready to post, without touching a single slider. Upload your text prompts (MP4, MOV, WebM, GIF, up to 500MB), say something like... It is an AI Agent Skill for Claude Code / OpenClaw, with 77 downloads so far.
How do I install Text To Video In Runway?
Run "/install text-to-video-in-runway" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video In Runway free?
Yes, Text To Video In Runway is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video In Runway support?
Text To Video In Runway is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video In Runway?
It is built and maintained by francemichaell-15 (@francemichaell-15); the current version is v1.0.0.
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