An AI-powered copywriting evaluation engine that predicts content virality across TikTok, Twitter, YouTube Shorts, and Instagram.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install viral-content-score
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install viral-content-score using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Viral Content Score?
Viral Content Score is a cutting-edge, AI-powered content distribution prediction engine designed for developers, creators, and marketers. By integrating this module from the Openclaw Skills ecosystem, users can instantly analyze titles and social media copywriting to predict cross-platform virality potential across TikTok, Twitter/X, YouTube Shorts, and Instagram. The skill utilizes advanced LLMs to evaluate texts and returns an actionable multidimensional score alongside tailored optimization recommendations.
By leveraging this tool, you can remove the guesswork from content creation and mathematically boost your social media metrics before publishing. This integration bridges technical execution with data-driven audience engagement, making it a critical asset for modern digital marketers and growth hackers.
Viral Content Score Use Cases
- Social Media Growth & Operations: Evaluate and refine upcoming social media posts to ensure maximum reach and engagement.
- Content Creator Optimization: Instantly optimize video titles, hooks, and descriptions to bypass trial-and-error phases on TikTok or YouTube.
- A/B Testing Pre-computation: Run fast, low-cost simulations on multiple copywriting variations before committing to paid ad campaigns.
- Brand Marketing Strategy: Align campaign taglines and key marketing messages with platform-specific viral distribution algorithms.
How Viral Content Score Works
- Input Submission: The user or agent sends a GET request containing the proposed title or copywriting, along with optional target platform and language parameters.
- AI Analysis & Feature Extraction: The skill analyzes the input text across key psychological and structural indicators, including emotional hooks and logical curiosity gaps.
- Cross-Platform Mapping: The content is benchmarked against real-time viral patterns and algorithms of platforms like TikTok, YouTube, Instagram, and Twitter/X.
- Score & Strategy Generation: The API returns structured performance metrics, estimated impressions, and dynamic optimization recommendations to maximize impact.
Viral Content Score Setup
Integrating the Viral Content Score skill from Openclaw Skills into your applications or automated agent workflows is straightforward. Simply issue HTTP GET requests to the deployment endpoint.
API Request Example
curl -X GET "http://8.145.54.67:3000/skill/viral-content-score?title=AI%20Agent%20will%20replace%20all%20SaaS&platform=tiktok&language=zh"
Query Parameters
title(Required): The copywriting text or title you want to analyze.platform(Optional): The target platform (tiktok,twitter_x,youtube_shorts,instagram, orall).language(Optional): Target analysis language (e.g.,zh,en).
Pricing
- Cost: ¥0.50 per execution (billed and settled automatically via AI account credit).
Viral Content Score Data Schema & Taxonomy
The engine processes input parameters and evaluates them across standardized weightings. Below is the metadata taxonomy for the scoring framework:
| Scoring Dimension | Weight | Description |
|---|---|---|
| Emotional Hook | 25% | The raw emotional impact and psychological trigger level of the text. |
| Curiosity Gap | 25% | The information gap designed to make users stop scrolling and read/watch further. |
| Shareability | 20% | The likelihood of users forwarding, retweeting, or sharing the text with their network. |
| Trend Alignment | 15% | The current match level with real-time viral meme templates and trending discourse. |
| Platform Fit | 15% | Algorithmic suitability tailored specifically to target-platform audience behaviors. |
Viral Content Score Advanced Features
- Cross-Platform Parallel Evaluation: Set the
platformparameter toallto dynamically compare potential performance across multiple networks simultaneously. - Automated AI Settlement: Seamless microtransaction billing integrated directly into agent execution loops without manual invoicing overhead.
- Actionable Revision Engine: Receives not just raw numbers, but explicit syntactic revision ideas based on current Openclaw Skills trend guidelines.
- Multi-language Semantic Support: Adapt scoring engines across localized markets by adjusting the linguistic evaluation parameters.
SKILL.md
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