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predicate-snapshot

ML-powered DOM pruning for 95% smaller browser prompts

作者: admin | 来源: ClawHub
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ClawHub
版本
V 0.4.0
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predicate-snapshot

# Predicate Snapshot Engine Replaces default browser snapshots with Predicate's ML-ranked DOM elements. Reduces prompt token usage by **95%** while preserving actionable elements. ## Why Use This? | Approach | Tokens | Elements | Signal Quality | |----------|--------|----------|----------------| | Accessibility Tree (default) | ~18,000 | ~800 | Low (noise) | | Predicate Snapshot | ~800 | 50 | High (ranked) | **Result:** Faster LLM inference, lower costs, fewer retries. ## Requirements - Node.js 18+ - `PREDICATE_API_KEY` environment variable (optional) **Without API key:** Local heuristic-based pruning (~80% token reduction) **With API key:** ML-powered ranking for cleaner output (~95% token reduction, less noise) Get your free API key at [predicate.systems/keys](https://predicate.systems/keys) ## Installation ```bash npx clawdhub@latest install predicate-snapshot ``` Or manually: ```bash git clone https://github.com/predicate-systems/predicate-snapshot-skill ~/.openclaw/skills/predicate-snapshot cd ~/.openclaw/skills/predicate-snapshot && npm install && npm run build ``` ## Configuration For enhanced ML-powered ranking, set your API key: ```bash export PREDICATE_API_KEY="sk-..." ``` Or configure in `~/.openclaw/config.yaml`: ```yaml skills: predicate-snapshot: api_key: "sk-..." # Optional: set usage limits max_credits_per_session: 100 ``` ## Usage ### `/predicate-snapshot` Capture a pruned DOM snapshot optimized for LLM consumption. ``` /predicate-snapshot [--limit=50] [--include-ordinal] ``` **Options:** - `--limit=N` - Maximum elements to return (default: 50) - `--include-ordinal` - Include ordinal ranking for list items **Output format:** ``` ID|role|text|imp|is_primary|docYq|ord|DG|href 42|button|Add to Cart|0.95|true|320|1|cart-actions| 15|button|Buy Now|0.92|true|340|2|cart-actions| 23|link|Product Details|0.78|false|400|0||/dp/... ``` ### `/predicate-act` Execute an action on an element by its Predicate ID. ``` /predicate-act <action> <element_id> [value] ``` **Examples:** ```bash # Click element 42 /predicate-act click 42 # Type into element 15 /predicate-act type 15 "search query" # Scroll to element 23 /predicate-act scroll 23 ``` ### `/predicate-snapshot-local` Local-only snapshot without ML re-ranking (free, lower accuracy). ``` /predicate-snapshot-local [--limit=50] ``` Use this for development or when you don't need ML-powered ranking. ## Example Workflow ``` 1. Navigate to page 2. /predicate-snapshot # Get ranked elements 3. /predicate-act click 42 # Click "Add to Cart" (element 42) 4. /predicate-snapshot # Refresh snapshot 5. Verify cart updated ``` ## Pricing | Tier | Credits/Month | Price | |------|---------------|-------| | Hobby | 500 | Free | | Builder | 20,000 | $19/mo | | Pro | 40,000 | $49/mo | | Teams | 120,000 | $149/mo | | Enterprise | Custom | Contact us | Each snapshot consumes 1 credit. Local snapshots are free. ## Comparison: Before & After **Before (Accessibility Tree):** ``` @e1 navigation "Skip to main content" @e2 link "Amazon" @e3 search "Search Amazon" ... (800+ elements) @e742 button "Add to Cart" <-- buried in noise ... (more elements) ``` **After (Predicate Snapshot):** ``` ID|role|text|imp|is_primary|docYq|ord|DG|href 42|button|Add to Cart|0.98|true|520|1|cart-actions| <-- ranked #1 15|button|Buy Now|0.95|true|540|2|cart-actions| 23|link|See All Buying...|0.72|false|560|3|cart-actions| ``` ## Support - Documentation: [predicatesystems.ai/docs](https://predicatesystems.ai/docs) - Issues: [GitHub Issues](https://github.com/predicate-systems/predicate-snapshot-skill/issues) - Discord: [Predicate Community](https://discord.gg/predicate)

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 predicate-snapshot-1776306789 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 predicate-snapshot-1776306789 技能

通过命令行安装

skillhub install predicate-snapshot-1776306789

下载 Zip 包

⬇ 下载 predicate-snapshot v0.4.0

文件大小: 103.47 KB | 发布时间: 2026-4-16 18:39

v0.4.0 最新 2026-4-16 18:39
ML-rank refined DOM snapshots to help OpenClaw use browsers efficiently with 90%+ token reduction

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