القائمة
ML-powered DOM pruning for 95% smaller browser prompts
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | predicate-snapshot |
| description | ML-powered DOM pruning for 95% smaller browser prompts |
| homepage | https://predicate.systems/skills/snapshot |
| user-invocable | true |
| command-dispatch | tool |
| command-tool | predicate-snapshot |
Replaces default browser snapshots with Predicate's ML-ranked DOM elements. Reduces prompt token usage by 95% while preserving actionable elements.
| 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.
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
npx clawdhub@latest install predicate-snapshot
Or manually:
git clone https://github.com/predicate-systems/predicate-snapshot-skill ~/.openclaw/skills/predicate-snapshot
cd ~/.openclaw/skills/predicate-snapshot && npm install && npm run build
For enhanced ML-powered ranking, set your API key:
export PREDICATE_API_KEY="sk-..."
Or configure in ~/.openclaw/config.yaml:
skills:
predicate-snapshot:
api_key: "sk-..."
# Optional: set usage limits
max_credits_per_session: 100
/predicate-snapshotCapture 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 itemsOutput 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-actExecute an action on an element by its Predicate ID.
/predicate-act <action> <element_id> [value]
Examples:
# 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-localLocal-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.
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
| 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.
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|