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Install in OpenClaw
/install text-to-video-json
Description
Skip the learning curve of professional editing software. Describe what you want — convert this text into a 30-second video with visuals and voiceover — and...
Usage Guidance
This skill appears to implement a cloud text→video workflow and only asks for a single service token (NEMO_TOKEN), which is reasonable — but take these precautions before installing:
- Verify the backend domain (mega-api-prod.nemovideo.ai) and the service's reputation before sending any sensitive content. Uploaded files are sent to that external service.
- Understand token handling: the skill will accept a user-provided NEMO_TOKEN or create an anonymous token by calling the API itself. Either token/session may be persisted (SKILL.md frontmatter references ~/.config/nemovideo/). Ask where tokens/session_ids are stored and how to revoke/delete them.
- Avoid uploading sensitive or private files unless you trust the service and its privacy policy. The instructions explicitly allow multipart uploads from local paths; ensure the agent only uploads files you intentionally provide.
- If you must test, prefer ephemeral or least-privilege tokens and delete any stored session/token after use.
- Clarify the metadata inconsistency: registry metadata lists no config paths while the SKILL.md frontmatter references a config directory. Ask the publisher to confirm exactly what (if anything) will be written to disk.
If you cannot confirm these points or don't trust the external service, do not install or use the skill with sensitive data.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-json
Version: 1.0.0
The skill bundle provides instructions for an AI agent to interface with the nemovideo.ai API for text-to-video conversion. It includes standard workflows for authentication (anonymous token generation via UUID), session management, file uploads, and video rendering. While it requests platform attribution headers and environment variable access (NEMO_TOKEN), these actions are consistent with the stated functionality of a cloud-based media processing service. The instructions in SKILL.md are focused on API orchestration and user experience, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description map to a cloud text→video service and the single required credential (NEMO_TOKEN) is appropriate for that purpose. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while registry metadata lists no required config paths — an internal inconsistency. The skill also elects to auto-provision an anonymous token if NEMO_TOKEN is absent, which is explainable for usability but differs from a model that requires only user-supplied credentials.
Instruction Scope
Runtime instructions direct the agent to: contact an external API to create an anonymous token, store a session_id for subsequent requests, and upload files (multipart form with file paths or URL-based uploads). Uploading user-specified files is expected, but the instructions allow sending file paths (e.g., '-F "files=@/path"'), which — if misused — could exfiltrate arbitrary local files. The guidance to 'Don't display raw API responses or token values' indicates secrets are handled, but where/how session/token are persisted is unspecified. Overall, the instruction set grants the agent discretion to create tokens, persist them, and read local files — all normal for this skill but high-impact if abused.
Install Mechanism
No install steps or code are included (instruction-only), so nothing is written to disk by an installer and there is no package download risk.
Credentials
Only NEMO_TOKEN is declared as required and is relevant to the stated service. The skill's ability to auto-request an anonymous token means it can operate without a pre-provisioned secret. The metadata's mention of a config path suggests the skill may persist tokens or session data on disk (proportional for convenience but a privacy consideration). There are no unrelated credentials requested.
Persistence & Privilege
always:false and autonomous invocation are normal. The SKILL.md instructs storing session_id (and possibly token) for subsequent calls and the frontmatter references ~/.config/nemovideo/, implying it may persist state to disk. That persistence is plausible for a long-running cloud render session, but the registry metadata vs SKILL.md mismatch is ambiguous and should be clarified.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-json - After installation, invoke the skill by name or use
/text-to-video-json - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Text-to-video-json v1.0.0 — Initial Release
- Converts text prompts (plain text, JSON, DOCX, CSV) into 30-second videos with AI visuals and voiceover in 1–2 minutes.
- Supports file uploads up to 500MB and multiple video export formats (MP4, MOV, AVI, etc.).
- Streamlined onboarding with automatic session/token setup and 100 free credits for new users.
- Handles video export, balance checks, status updates, and uploads via natural language prompts.
- Includes robust error handling and clear guidance for credits, unsupported files, and export limitations.
Metadata
Frequently Asked Questions
What is Text To Video Json?
Skip the learning curve of professional editing software. Describe what you want — convert this text into a 30-second video with visuals and voiceover — and... It is an AI Agent Skill for Claude Code / OpenClaw, with 71 downloads so far.
How do I install Text To Video Json?
Run "/install text-to-video-json" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Json free?
Yes, Text To Video Json is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Json support?
Text To Video Json is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Json?
It is built and maintained by tk8544-b (@tk8544-b); the current version is v1.0.0.
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