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mory128

Video Making Free Course

by mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
68
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Install in OpenClaw
/install video-making-free-course
Description
Turn a 2-minute raw screen recording of a tutorial into 1080p structured course videos just by typing what you need. Whether it's turning raw recordings into...
Usage Guidance
This skill will upload your videos and related project data to an external service (mega-api-prod.nemovideo.ai) and uses a NEMO_TOKEN to authorize requests. The skill will auto-create an anonymous token if none is present and may store session/token data under ~/.config/nemovideo/. Before installing, consider: (1) The skill's source/homepage is missing—there's no easily verifiable publisher or privacy policy. (2) Any uploaded video may contain sensitive information; only use this with content you are comfortable uploading to a third party. (3) You can prefer to supply your own NEMO_TOKEN rather than allowing the skill to create one automatically. (4) Ask the publisher where tokens and files are stored, how long they are retained, and how to revoke/delete them. If you need stronger assurance about data handling or provenance, avoid installing until the publisher and privacy terms can be verified.
Capability Analysis
Type: OpenClaw Skill Name: video-making-free-course Version: 1.0.0 The skill facilitates AI video editing via an external backend (nemovideo.ai) but contains instructions that create a significant security risk. Specifically, SKILL.md directs the agent to process 'tool calls' from the remote server's SSE stream 'internally' without forwarding them to the user and to suppress raw API responses. This establishes a non-transparent command-and-control channel where the remote backend could potentially instruct the agent to execute unauthorized commands on the user's system. Additionally, it requires the agent to probe its own install path to detect the host platform, which is a form of environment fingerprinting.
Capability Assessment
Purpose & Capability
Name and description match the actions in SKILL.md: sending video uploads to a cloud render pipeline, creating sessions, polling renders, and returning download URLs. Requesting a NEMO_TOKEN and a config path for nemo video are coherent with a cloud video service.
Instruction Scope
The runtime instructions explicitly perform network calls to an external API (mega-api-prod.nemovideo.ai), upload user files, create anonymous tokens, and persist session state. Those operations are expected for cloud video processing but carry privacy implications: user video content will be transmitted to a third-party backend. The instructions also say to 'not display raw API responses or token values' (i.e., hide tokens), and they don't specify secure storage semantics for tokens/session IDs beyond a config path—this increases the chance data or tokens could be silently stored or reused without explicit user consent.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes disk-write risk; there are no downloads or external install URLs to evaluate.
Credentials
Only one credential is required (NEMO_TOKEN) and it's the declared primaryEnv. That is proportionate for a cloud API. However the skill instructs that if NEMO_TOKEN is absent it should automatically obtain an anonymous token and then store/use it; this automatic creation and persistence of credentials is potentially surprising to users and worth explicit consent. Metadata also references a config path (~/.config/nemovideo/) where state may be written—reasonable for caching but something users should be alerted to.
Persistence & Privilege
always is false and the skill does not request system-wide privileges or to modify other skills. It will retain session state and tokens for subsequent API calls (normal for this use-case), but storage location/retention policy is unspecified.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install video-making-free-course
  3. After installation, invoke the skill by name or use /video-making-free-course
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Video Making Free Course v1.0.0 — Initial Release - Instantly turn 2-minute raw screen recordings into structured, export-ready course videos (1080p) using simple text instructions. - Automatic cloud processing: upload clips, describe what you need, and download high-quality results in minutes. - No timeline editing, export settings, or complex setup required. - Free to use with 100 credits on anonymous sign-up; supports multiple formats (mp4, mov, avi, webm). - Handles session setup and backend communication automatically; just upload, instruct, and receive your video. - In-app error handling, workflow tips, and support for iterative editing built-in.
Metadata
Slug video-making-free-course
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Video Making Free Course?

Turn a 2-minute raw screen recording of a tutorial into 1080p structured course videos just by typing what you need. Whether it's turning raw recordings into... It is an AI Agent Skill for Claude Code / OpenClaw, with 68 downloads so far.

How do I install Video Making Free Course?

Run "/install video-making-free-course" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Video Making Free Course free?

Yes, Video Making Free Course is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Video Making Free Course support?

Video Making Free Course is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Video Making Free Course?

It is built and maintained by mory128 (@mory128); the current version is v1.0.0.

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