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Install in OpenClaw
/install viral-video-predictor
Description
输入短视频脚本,自动预测爆款概率(钩子分析/节奏/情绪曲线/优化建议)
Usage Guidance
This skill appears coherent and self-contained: it analyzes text scripts and returns scores and suggestions without requesting credentials or installing external code. Before installing or using it in production you may want to: 1) quickly search the index.js file (or the package) for suspicious calls such as network libraries (fetch/axios/http/https), child_process/exec, eval/new Function, or process.env to confirm there are no hidden external communications or secret access; 2) run the code locally on non-sensitive sample scripts to verify outputs; and 3) prefer running it in an isolated environment if you plan to feed sensitive or proprietary scripts. If you want, I can scan the provided index.js for specific patterns (network calls, exec/eval, environment access) and report findings.
Capability Analysis
Type: OpenClaw Skill
Name: viral-video-predictor
Version: 1.0.0
The skill bundle is a legitimate tool for analyzing short video scripts for viral potential. The code in index.js performs rule-based text analysis (hook detection, pacing, and keyword checking) entirely locally without any network requests, file system access, or suspicious execution patterns.
Capability Assessment
Purpose & Capability
Name/description (viral-video prediction and optimization) match the manifest, SKILL.md, README, and index.js functionality. Inputs/outputs declared in manifest correspond to the analysis functions implemented in index.js (hook/pacing/emotion/score/suggestions). No unrelated services, binaries, or credentials are requested.
Instruction Scope
SKILL.md instructs the agent only to accept a script and run analyses (hook detection, pacing, emotion curve, platform compliance, scoring, optimization). The included index.js implements those steps and does not instruct reading unrelated system files, environment variables, or sending data to external endpoints (no endpoints referenced in visible code).
Install Mechanism
No install spec is provided and no external packages or downloads are required. This is an instruction + single-file implementation, so nothing new is written to disk by an installer.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code shown does not access process.env or other secret-bearing locations. The requested permissions are proportionate to the stated functionality.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence or modify other skills/configuration. Autonomous invocation remains platform default but is not combined with other elevated privileges here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install viral-video-predictor - After installation, invoke the skill by name or use
/viral-video-predictor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
付费技能首发 - 爆款预测
Metadata
Frequently Asked Questions
What is 短视频爆款预测脚本?
输入短视频脚本,自动预测爆款概率(钩子分析/节奏/情绪曲线/优化建议). It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install 短视频爆款预测脚本?
Run "/install viral-video-predictor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 短视频爆款预测脚本 free?
Yes, 短视频爆款预测脚本 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 短视频爆款预测脚本 support?
短视频爆款预测脚本 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 短视频爆款预测脚本?
It is built and maintained by Amaxclaw (@amaxclaw); the current version is v1.0.0.
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