agentic-uncertainty-quantifier

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

1. Score epistemic uncertainty 0-10 (how much is unknown).
2. Score procedural uncertainty 0-10 (how clear are the steps).
3. High epistemic (>6): retrieve more context, run self-refine-loop.
4. Low procedural (<4): ask clarifying questions before acting.
5. Report scores and recommended depth to user.

Integrations

• self-refine-loop
• semantic-memory-manager
• deep-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.