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baolige2023

AI短视频脚本生成器

by baolige2023 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
188
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Install in OpenClaw
/install short-video-script-generator
Description
AI短视频脚本生成工具,支持多平台、多时长,自动生成hook、镜头、文案、BGM、CTA完整方案,支持脚本管理。每次调用收0.001USDT。
Usage Guidance
Key points to consider before installing or running this skill: - Hardcoded secrets: The repository contains plaintext API keys for SkillPay and SiliconFlow. Although both are used for expected functions (billing and AI), hardcoded keys are unsafe. Do not run this code unless you either replace those keys with your own and keep them secret, or modify the code to read keys from environment variables. - Automatic billing: By default TEST_MODE is False. The application will call the billing API in a before_request hook and may attempt to charge the user for most endpoints. If you test, set TEST_MODE=True or inspect/replace the billing key and endpoints first. - Network calls to external services: The skill will contact skillpay.me and api.siliconflow.cn. Verify those services are trustworthy for your use case and that you want your prompts/data sent to them. - Local persistence: The app writes scripts to data/scripts.db in the skill directory. Make sure you are comfortable storing generated content locally and that file permissions are appropriate. - Remediation suggestions: Ask the author to remove secrets from code and declare required env vars (or do it yourself). Prefer environment-based configuration for API keys, enable TEST_MODE for local testing, and review/rotate any exposed keys. If you don't trust the embedded keys or the payment provider, do not run the skill; instead host the code locally with your own credentials in environment variables. - If unsure: run the code in an isolated sandbox or container, monitor outbound network traffic, and inspect billing calls before providing real payment credentials.
Capability Analysis
Type: OpenClaw Skill Name: short-video-script-generator Version: 1.0.0 The skill contains hardcoded API keys for both SiliconFlow and a third-party payment service (SkillPay.me) within `scripts/app.py`. It implements a mandatory payment gate via a `before_request` middleware that blocks all functionality until a micro-transaction (0.001 USDT) is verified through an external endpoint (skillpay.me). While this behavior is documented in `SKILL.md`, the combination of hardcoded credentials and forced financial interaction with an external service is a high-risk pattern for a skill bundle.
Capability Assessment
Purpose & Capability
The code and SKILL.md align with the advertised purpose (script generation, payment per-call, script storage). However the skill declares no required environment variables or primary credential while both the SKILL.md and scripts/app.py include hardcoded API keys (SkillPay and SiliconFlow). That is an inconsistency: the skill actually depends on external billing and AI services but does not declare credentials as required.
Instruction Scope
Runtime instructions and app code stick to generating scripts, saving to a local SQLite DB, and interacting with two external services (SkillPay billing and SiliconFlow AI). They do not read arbitrary local files or system config, but the before_request middleware triggers billing calls on most endpoints (automatic charge verification), which may cause external network calls and billing activity even for routine requests.
Install Mechanism
No install spec (instruction-only with included code) — minimal installation risk. The skill ships runnable Flask code (no external download/install steps are hidden).
Credentials
Although declared 'required env vars: none', the code contains hardcoded secrets: SKILLPAY_API_KEY in SKILL.md and app.py and SILICONFLOW_API_KEY in scripts/app.py. These are sensitive and should not be embedded in distributed code. The skill will make network calls using those keys and will attempt to charge users unless TEST_MODE is enabled. The presence of plaintext credentials and automatic billing is disproportionate to a benign, local script generator and is a clear risk.
Persistence & Privilege
always:false and user-invocable:true (normal). The skill does not request system-wide privileges or modify other skills. It runs a local Flask server and writes to a local SQLite DB (data/scripts.db), which is expected for script management.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install short-video-script-generator
  3. After installation, invoke the skill by name or use /short-video-script-generator
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
short-video-script-generator v1.0.0 - 首次发布,推出 AI 驱动的短视频脚本自动生成工具。 - 支持抖音、快手、视频号、小红书、YouTube Shorts、TikTok 等多平台脚本适配。 - 可选视频时长(15/30/60秒)、自动生成 Hook、分镜、口播文案、背景音乐建议及 CTA。 - 内置脚本管理功能,支持历史保存、查看和删除,一键导出 Markdown/文本格式。 - 全程中文界面,使用便捷;支持 SkillPay.me 支付,每次仅需 0.001 USDT。
Metadata
Slug short-video-script-generator
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is AI短视频脚本生成器?

AI短视频脚本生成工具,支持多平台、多时长,自动生成hook、镜头、文案、BGM、CTA完整方案,支持脚本管理。每次调用收0.001USDT。 It is an AI Agent Skill for Claude Code / OpenClaw, with 188 downloads so far.

How do I install AI短视频脚本生成器?

Run "/install short-video-script-generator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is AI短视频脚本生成器 free?

Yes, AI短视频脚本生成器 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does AI短视频脚本生成器 support?

AI短视频脚本生成器 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created AI短视频脚本生成器?

It is built and maintained by baolige2023 (@baolige2023); the current version is v1.0.0.

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