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Youtube Monetization Video
作者
peandrover adam
· GitHub ↗
· v1.0.1
· MIT-0
148
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install youtube-monetization-video
功能描述
Create YouTube videos optimized for maximum ad revenue — structure content for mid-roll retention, target high-CPM topics, design click-worthy thumbnails, an...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install youtube-monetization-video - 安装完成后，直接呼叫该 Skill 的名称或使用
/youtube-monetization-video触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Youtube Monetization Video 是什么？
Create YouTube videos optimized for maximum ad revenue — structure content for mid-roll retention, target high-CPM topics, design click-worthy thumbnails, an... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 148 次。
如何安装 Youtube Monetization Video？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install youtube-monetization-video」即可一键安装，无需额外配置。
Youtube Monetization Video 是免费的吗？
是的，Youtube Monetization Video 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Youtube Monetization Video 支持哪些平台？
Youtube Monetization Video 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Youtube Monetization Video？
由 peandrover adam（@peand-rover）开发并维护，当前版本 v1.0.1。
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