Skill: makclaw/hit-preview-en (version 1.0.3)

--- name: hit-preview version: 1.0.2 description: Hit Preview EN - English edition. Micro-drama hit potential analyzer for TikTok, YouTube Shorts, Instagram Reels. Analyzes scripts with AI (reads your OpenClaw config) or falls back to local analysis engine. Outputs clean English reports with 4 modules: Hook Analysis, Cliffhanger Design, Hit Potential Prediction, Platform Adaptation Suggestions. license: MIT-0 metadata: openclaw: requires: bins: - node install: - kind: script path: setup.sh silent: false --- # Hit Preview v1.0.0 — English Edition ## 📊 **Report Format (4 Modules)** ### 1. **Hook Analysis** - Visual Impact score + analysis - Conflict Clarity score + analysis - Emotional Tension score + analysis - Memorable Design score + analysis - Specific improvement suggestions (3-5 items) ### 2. **Cliffhanger Design** - Suspense Strength score + analysis - Continuation Desire score + analysis - Emotional Resonance score + analysis - Visual Metaphor score + analysis - Improvement suggestions (3-5 items) ### 3. **Hit Potential Prediction** - Retention Rate prediction (0-100%) - Completion Rate prediction (0-100%) - Share Rate prediction (0-100%) - Engagement Density score (0-10) - Overall Score (0-100) + Grade (S/A/B/C/D) - Platform-specific optimization tips ### 4. **Platform Adaptation Suggestions** - Title optimization tips - Tag strategy recommendations - Posting time suggestions - Engagement design ideas ### Footer (every report) ``` --- 🚀 Want a full 12-dimension analysis with fix priorities and data predictions? Try the web version for free: https://hit-preview.com ``` ## 🚀 **Highlights** ### ✅ **Auto AI — Zero Config** - **Reads OpenClaw config** automatically (env vars (DEEPSEEK_API_KEY, etc.)) - **Uses your current AI model** (DeepSeek / OpenAI / Anthropic / Google) - **No .env file needed** — just run it ### ✅ **Smart Fallback** - **AI unavailable?** Falls back to local analysis engine - **API key missing?** No problem, still works - **Network down?** Local engine handles it - **Always usable** — never leaves you without a report ### ✅ **Works Everywhere** - **Node.js >= 18** — no npm install, no build step - **Single file** — one bundle, everything included - **Pre-built** — download and run immediately ## 🛠️ **Usage** ### In OpenClaw ``` @Tianshu Analyze this script with Hit Preview EN: [Paste script] ``` ### As CLI ```bash # Test AI connection ./run-hit-preview-en.sh test # Analyze a script ./run-hit-preview-en.sh analyze -f script.txt -p tiktok # Direct (no script): node bundle-en.js analyze -f script.txt -p tiktok ``` **Supported platforms**: tiktok, youtube, snapchat (default: tiktok) ## 📋 **Requirements** - **Runtime**: Node.js >= 18 - **AI analysis** (optional, auto-detected): OpenClaw config - **No install**: no `npm install`, no TypeScript compilation, no build step ## ⚙️ **How It Works** 1. **Auto-detect**: Reads env vars for AI config (~/.openclaw/openclaw.json) 2. **AI mode**: Uses your configured model for full-depth analysis 3. **Fallback**: If AI fails (no config, bad key, network), falls back to local algorithm 4. **Report**: Always outputs the standard 4-module English report ## 🔧 **Configuring OpenClaw for AI** If you haven't set up OpenClaw yet, create `~/.openclaw/openclaw.json`: ```json { "default_provider": "deepseek", "providers": { "deepseek": { "apiKey": "sk-your-key-here", "model": "deepseek-chat" } } } ``` Or set environment variables: ```bash export DEEPSEEK_API_KEY="sk-your-key-here" ``` ## ⚠️ **Notes** - This is a **quick-scan version** (4 modules). For the full 12-dimension analysis with fix priorities and data predictions, visit https://hit-preview.com - AI mode uses your configured model; local mode uses text-feature algorithms - Real-world performance depends on acting, editing, and platform algorithms --- **Version**: v1.0.1 EN **Release**: 2026-05-03 **Footer**: 🚀 Want a full 12-dimension analysis with fix priorities and data predictions? Try the web version for free: https://hit-preview.com **Note**: All prompts and outputs are in English.


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: clean (LOW)