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Youtube Monetization Video
by
peandrover adam
· GitHub ↗
· v1.0.1
· MIT-0
148
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0
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0
Active Installs
2
Versions
Install in OpenClaw
/install youtube-monetization-video
Description
Create YouTube videos optimized for maximum ad revenue — structure content for mid-roll retention, target high-CPM topics, design click-worthy thumbnails, an...
Usage Guidance
Before installing: 1) Ask the skill author to explain why SKILL.md declares NEMO_TOKEN and a config path while the registry shows no required env vars—get a clear list of exactly which credentials the skill needs and why. 2) Confirm how channel analytics are supplied (manual pasted CSV vs. the agent using Google/YouTube OAuth). Never hand over your Google/YouTube credentials unless you understand and trust the service and its OAuth scopes. 3) If asked to provide a NEMO_TOKEN, verify what that token grants (what API calls it allows, how long it lives, and the vendor's data retention/privacy policy). 4) Ask whether the skill will read ~/.config/nemovideo/ or any other local files; if so, request minimal-scoped alternatives (upload only the specific analytics data needed). 5) Consider testing on non-sensitive data or a dummy channel first. The main issues are metadata inconsistencies and unclear data flows—not an immediate indicator of malware, but enough uncertainty that you should get clarifications before proceeding.
Capability Analysis
Type: OpenClaw Skill
Name: youtube-monetization-video
Version: 1.0.1
The skill bundle for 'youtube-monetization-video' is a standard documentation-based tool for optimizing YouTube content. It defines an interface for interacting with an external API (mega-api-prod.nemovideo.ai) using a provided token (NEMO_TOKEN). The instructions in SKILL.md are strictly focused on the stated purpose of video optimization (CPM, CTR, and mid-roll placement) and do not contain any malicious commands, data exfiltration patterns, or harmful prompt injections.
Capability Assessment
Purpose & Capability
The skill's stated goal (structure scripts, thumbnails, titles, content calendars) is coherent with an instruction-only assistant that calls an external service. However the registry metadata and the SKILL.md disagree: the registry listed no required env vars or config paths, while SKILL.md metadata includes a primaryEnv (NEMO_TOKEN) and a config path (~/.config/nemovideo/). That mismatch is unexplained and reduces confidence that the declared requirements match actual behavior.
Instruction Scope
The instructions ask the user to 'share channel data' and describe analyses (mid-roll placement, CPM targeting, thumbnail generation). They do not explicitly instruct reading unrelated local files or system secrets in the visible excerpt. But the SKILL.md does not clearly state how it obtains analytics (user paste vs. Google/YouTube OAuth) or when/why it would access ~/.config/nemovideo/, leaving ambiguity about the scope of data collected and transmitted to the external service.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is written to disk by the skill itself. That reduces install-supply-chain risk.
Credentials
The skill declares a primary credential NEMO_TOKEN (implying use of the nemovideo service), but the registry summary initially listed no required env vars, creating an inconsistency. Requesting a service token is plausible for calling nemovideo.com, but it's not clear why YouTube/Google OAuth credentials are not declared if the skill will read analytics directly. Also the listed config path (~/.config/nemovideo/) could allow reading local files; it's not justified in the instructions. Asking for a token that can be used by the skill to send channel analytics off-device is a proportionality concern that should be documented.
Persistence & Privilege
The skill does not request always:true or other elevated persistence. It can run autonomously (default), so if you grant the NEMO_TOKEN the agent could call external APIs on its own. That is normal for skills, but combined with the unclear credential/config usage it increases the potential blast radius.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install youtube-monetization-video - After installation, invoke the skill by name or use
/youtube-monetization-video - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Added `homepage` and `repository` links to SKILL.md for easier access to project resources.
- Updated version number to 1.0.1.
v1.0.0
youtube-monetization-video v1.0.0
- Initial release.
- Enables creation of YouTube videos optimized for maximum ad revenue.
- Features tools for content structure, mid-roll ad placement, high-CPM topic planning, CTR-boosting thumbnails/titles, and Shorts-to-long form view funnels.
- Includes advertiser-friendly content audit and strategic metadata generation.
- Simple API workflow with customizable inputs for targeted monetization strategies.
Metadata
Frequently Asked Questions
What is Youtube Monetization Video?
Create YouTube videos optimized for maximum ad revenue — structure content for mid-roll retention, target high-CPM topics, design click-worthy thumbnails, an... It is an AI Agent Skill for Claude Code / OpenClaw, with 148 downloads so far.
How do I install Youtube Monetization Video?
Run "/install youtube-monetization-video" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Youtube Monetization Video free?
Yes, Youtube Monetization Video is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Youtube Monetization Video support?
Youtube Monetization Video is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Youtube Monetization Video?
It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.1.
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