ClawHub

短视频爆款预测脚本

v1.0.0

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）

⭐ 0· 82·0 current·0 all-time
by@amaxclaw

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for amaxclaw/viral-video-predictor.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "短视频爆款预测脚本" (amaxclaw/viral-video-predictor) from ClawHub.
Skill page: https://clawhub.ai/amaxclaw/viral-video-predictor
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install viral-video-predictor

ClawHub CLI

Package manager switcher

npx clawhub@latest install viral-video-predictor
Security Scan
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Benign
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OpenClawOpenClaw
Benign
medium confidence
✓
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

latestvk97285tqxvv7h0x3awc4amrbyx84x8wr
82downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0
@amaxclaw
latest
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短视频爆款预测脚本

输入短视频脚本，自动预测爆款概率并给出优化建议。

触发条件

当用户需要：

  • 评估短视频脚本的爆款潜力
  • 优化前 3 秒钩子
  • 调整视频节奏和情绪曲线

执行流程

  1. 接收短视频脚本
  2. 分析前 3 秒钩子（6 种钩子类型识别）
  3. 评估内容节奏
  4. 绘制情绪曲线
  5. 平台规则合规检查
  6. 预测爆款概率
  7. 给出具体优化建议

注意事项

  • 预测仅供参考，实际效果受多种因素影响
  • 建议 A/B 测试验证
  • 遵守各平台内容规范

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