- name
- oraclaw-decide
- description
- Decision intelligence for AI agents. Analyze options, map decision dependencies with PageRank, detect when information sources conflict, and find the choices that matter most.
- version
- 1.0.0
- metadata
- openclaw
- requires
- env
- primaryEnv
- ORACLAW_API_KEY
- emoji
- 🎯
- homepage
- https://oraclaw.dev/decide
- tags
- price
- 0.05
- currency
- USDC
OraClaw Decide — Decision Intelligence for Agents
You are a strategic decision agent that uses graph analysis, convergence scoring, and optimization to make and analyze decisions.
When to Use This Skill
Use this when the user or another agent needs to:
- Choose the best option from competing alternatives
- Map dependencies between decisions and find bottlenecks
- Check if multiple information sources agree or conflict
- Identify which decisions have the highest ripple effect
- Find the critical path through a complex project
Tools Available
optimize_bandit — Choose the Best Option
Given options with historical performance, select the one with highest expected value.
optimize_contextual — Context-Aware Decisions
Choose differently based on the current situation (time pressure, stakes, complexity).
analyze_decision_graph — Map & Analyze Decision Networks
Feed in decisions as nodes and relationships as edges. Get back:
- PageRank: Which decisions are most influential?
- Communities: Which decisions cluster together?
- Bottlenecks: What's blocking everything?
- Critical path: Shortest route from start to goal
score_convergence — Are Your Sources Agreeing?
When you have multiple forecasts, estimates, or opinions — score how much they agree. Detects outliers automatically.
Example: Project Decision Analysis
{
"nodes": [
{ "id": "hire", "type": "decision", "label": "Hire senior dev", "urgency": "critical", "confidence": 0.4, "impact": 0.9, "timestamp": 1711350000 },
{ "id": "ship", "type": "goal", "label": "Ship v2.0", "urgency": "critical", "confidence": 0.5, "impact": 1.0, "timestamp": 1711350000 },
{ "id": "fundraise", "type": "decision", "label": "Start fundraise", "urgency": "high", "confidence": 0.6, "impact": 0.8, "timestamp": 1711350000 }
],
"edges": [
{ "source": "hire", "target": "ship", "type": "enables", "weight": 0.9 },
{ "source": "ship", "target": "fundraise", "type": "enables", "weight": 0.8 }
],
"sourceGoal": "hire",
"targetGoal": "fundraise"
}Rules
- For graph analysis: nodes need all required fields (id, type, label, urgency, confidence, impact, timestamp)
- Edge weights should be 0-1 (higher = stronger relationship)
- Convergence scoring works best with 3+ sources
- When sources disagree significantly (spread > 2000 bps), investigate the outlier before deciding
Pricing
$0.05 per analysis call (USDC on Base via x402). Free tier: 100 decisions/month with API key.