| name | agentic-uncertainty-quantifier |
| description | Scores task uncertainty to calibrate memory depth and iteration count. Use w hen stakes are high, facts are sparse, or user says quantify uncertainty, fa st slow think, uncertainty score. Triggers: quantify uncertainty, fast slow think,uncertainty score, how sure.
|
| version | 1.1.0 |
| author | Stijnman |
| license | MIT |
| metadata | {"grok":{"tags":["quantify uncertainty","fast slow think","uncertainty score","how sure"],"related_skills":["self-refine-loop","semantic-memory-manager","deep-search-enabler"]}} |
| compatibility | Grok agent; optional MCP and shell access |
Agentic Uncertainty Quantifier
When to Use
- User says quantify uncertainty or task matches this capability
- User says fast slow think or task matches this capability
- User says uncertainty score or task matches this capability
- User says how sure or task matches this capability
Workflow
- Score epistemic uncertainty 0-10 (how much is unknown).
- Score procedural uncertainty 0-10 (how clear are the steps).
- High epistemic (>6): retrieve more context, run self-refine-loop.
- Low procedural (<4): ask clarifying questions before acting.
- Report scores and recommended depth to user.
Integrations
self-refine-loopsemantic-memory-managerdeep-search-enabler
Error Handling
| Failure | Response |
|---|
| False confidence | Bias toward caution on destructive tasks. |
Gotchas
- Uncertainty > 7 on financial/deploy actions triggers hitl-approver.
Example
Input: User request matching triggers above.
Output: Structured result per workflow with integrations invoked as needed.
