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Video Monetization Pro
作者
dahuangForToby
· GitHub ↗
· v1.0.0
· MIT-0
102
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-monetization-pro-84
功能描述
视频变现全流程自动化技能。从热点分析→MV 主题→歌词创作→法律审查→Suno 提示词→分镜脚本→一键发布→收益监控。专为视频创作者设计的端到端变现解决方案。
安全使用建议
Key things to consider before installing:
1) Missing / inconsistent credential list: SKILL.md and scripts reference Google API keys, a Suno verification URL, YouTube OAuth, and other platform logins but the registry metadata only lists SUNO_PHONE and KLING_* keys. Ask the author to provide a single, accurate list of required secrets and explain where each is used.
2) Embedded example credentials/tokens: The repository contains an API token/verification URL (sms8.net) and concrete phone numbers/emails in docs and demo files. Treat these as leaked test data — do not reuse them. Ask the author to remove all embedded tokens and replace with placeholders before installing.
3) Hardcoded absolute paths and fixed persona: Scripts default to /Users/huang/... and insist on a fixed performer asset path and Bilibili UID. That is inappropriate for general use and could cause accidental reads/writes on your machine. Request the author make paths configurable (relative to the skill workspace or use $HOME) and remove forced identity constraints.
4) Publishing and automation risks: The skill outlines automated publishing to multiple platforms and auto-sent daily reports. Do not provide platform credentials or OAuth tokens until you review the publish scripts line-by-line and test them in a sandbox. Confirm how credentials are stored and whether tokens are ever transmitted to third parties.
5) Local file modification: legal-check.sh edits input files in-place via sed. Back up files before running. Prefer that the script write reports to separate outputs rather than modifying originals.
6) Test in a sandbox: Run the scripts in an isolated VM/container with no real credentials and with OUTPUT_DIR pointed to a safe directory. Inspect network calls (e.g., with tcpdump) to see what endpoints are contacted when you run each script.
7) Request changes or refuse install if unresolved: Ask the maintainer to
- remove embedded tokens and personal emails/phone numbers,
- document exactly which credentials are required (and add them to metadata),
- replace hardcoded paths with configurable variables defaulting to the skill workspace or $HOME,
- provide a minimal-mode that runs only analysis/lyrics generation without publishing or external credentials.
If the author cannot justify these issues or fix them, treat the package as untrusted and do not install with real credentials.
功能分析
Type: OpenClaw Skill
Name: video-monetization-pro-84
Version: 1.0.0
The skill bundle contains multiple hardcoded sensitive credentials and API tokens, which is a significant security risk. Specifically, 'SKILL.md', 'README.md', and 'scripts/generate-suno.sh' include hardcoded Kling AI access keys (KLING_ACCESS_KEY, KLING_SECRET_KEY) and a specific SMS verification service token for 'api.sms8.net' (token=age41qfusk74s7g3po9sr2ljazq0omw4m3jz). While these appear intended to provide users with access to third-party services as part of the 'Pro' package, hardcoding secrets is a critical vulnerability. Furthermore, the use of an SMS bypass service suggests potential circumvention of platform terms of service. The scripts are primarily templates for generating local markdown reports and do not show clear evidence of intentional data exfiltration from the user.
能力评估
Purpose & Capability
Name/description (video monetization) align with the scripts and binaries (ffmpeg, whisper). However: (1) SKILL metadata declares only SUNO_PHONE, KLING_ACCESS_KEY, KLING_SECRET_KEY but SKILL.md and scripts also reference other credentials (GOOGLE_SEARCH_API_KEY, Suno verify URL, YouTube OAuth, platform login states). (2) Several scripts and docs hardcode absolute paths under /Users/huang and a fixed performer identity (捌十肆), which is not appropriate for a generic skill and could cause unexpected file reads/writes. These mismatches are disproportionate to the stated purpose.
Instruction Scope
Runtime instructions and scripts go beyond simple content generation: they reference web_search calls (consuming Google API keys), Suno API flows (including an SMS verification URL), publish flows to multiple platforms (YouTube OAuth, bilibili-upload, MediaCrawler, browser automation), and automated push reports (Feishu). SKILL.md and scripts reference/expect environment variables and login tokens that are not consistently declared. Scripts also modify files in-place (legal-check.sh uses sed -i.bak). The instructions implicitly require the agent to access local files, credentials, and external endpoints not fully enumerated in metadata.
Install Mechanism
Install spec uses brew to install ffmpeg and openai-whisper — a common, low-risk approach for these binaries. No downloads from personal servers or extract-from-URL installs were found in the manifest.
Credentials
Declared required env vars in metadata (SUNO_PHONE, KLING_ACCESS_KEY, KLING_SECRET_KEY) are plausible for Suno and a 'Kling' publishing service, but SKILL.md asks the user to set additional secrets (GOOGLE_SEARCH_API_KEY, SUNO_VERIFY_URL, YouTube OAuth credentials, platform logins) without listing them in the skill's required envs. Several files contain example phone numbers, emails, and an API token/URL (sms8.net token) baked into documentation — exposing credentials in the repo and suggesting the skill expects use of third-party tokens. This is disproportionate and confusing; it's unclear which secrets are truly required and where they will be used/transmitted.
Persistence & Privilege
The skill does not request always:true and does not declare system-wide privilege escalation, which is good. However, scripts use and write to absolute home paths (e.g., /Users/huang/..., ~/.openclaw/workspace/...), and will update user files in-place (sed -i.bak in legal-check.sh). That hardcoded path usage is risky (could overwrite unexpectedly if a matching path exists) and indicates the package was prepared in a developer environment without sanitization. The skill also describes automated daily reports (push to Feishu), implying scheduled network activity that requires credentials not centrally documented.
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 video-monetization-pro-84 - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-monetization-pro-84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
v1.0.0
Video Monetization Pro v1.0.0 — Initial Release
- Provides an end-to-end automated video monetization workflow: from trend analysis to topic/MV selection, lyric generation, legal compliance check, storyboard, Suno prompt, one-click publishing, and revenue monitoring.
- Includes daily trend search, AI-powered lyric creation, automatic law review, and instant music generation tools.
- Supports publishing to Douyin, Bilibili, YouTube, and WeChat Channels with passive and active revenue models.
- Features daily automatic multi-platform revenue reports and risk-level compliance audits.
- Designed specifically for content creators aiming for scalable, compliant, and hands-off video production and monetization.
元数据
常见问题
Video Monetization Pro 是什么?
视频变现全流程自动化技能。从热点分析→MV 主题→歌词创作→法律审查→Suno 提示词→分镜脚本→一键发布→收益监控。专为视频创作者设计的端到端变现解决方案。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 102 次。
如何安装 Video Monetization Pro?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-monetization-pro-84」即可一键安装,无需额外配置。
Video Monetization Pro 是免费的吗?
是的,Video Monetization Pro 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Video Monetization Pro 支持哪些平台?
Video Monetization Pro 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 Video Monetization Pro?
由 dahuangForToby(@dahuangfortoby)开发并维护,当前版本 v1.0.0。
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