aif-grounded

Enforce evidence-based reasoning and a 100/100 confidence gate before delivering answers.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/ichinya/idshka --skill aif-grounded-ichinya
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aif-grounded
Source: https://github.com/ichinya/idshka/tree/main/.codex/skills/aif-grounded
Command: npx skills add https://github.com/ichinya/idshka --skill aif-grounded-ichinya

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enforces a strict reliability gate for AI outputs, ensuring answers are evidence-based and only delivered when confidence is 100/100.

Core Features & Use Cases

  • Confidence gate: delivers final results only when evidence supports 100/100 confidence.
  • Uncertainty handling: returns a concise "what's missing" checklist instead of guesses if confidence is below 100.
  • High-stakes applicability: ideal for security, legal, finance, medical-adjacent tasks or any scenario requiring verifiable accuracy.

Quick Start

Apply the grounded reliability gate to a user query to ensure only 100% confident results are delivered.

Frequently Asked Questions about aif-grounded

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce evidence-based reasoning and prevent AI guessing on high-stakes queries?▼

You enforce evidence-based reasoning by applying a strict confidence gate that delivers final results only when 100/100 confidence is met. If evidence is insufficient, it returns a concise checklist of missing information instead of a guess.

What happens when AI confidence is below 100% for sensitive tasks?▼

When AI confidence is below 100%, the system returns a concise "what's missing" checklist instead of guessing. This uncertainty handling ensures you know exactly what evidence is required to reach full confidence.

Can I use a confidence gate for security, legal, and finance queries?▼

Yes, the confidence gate is ideal for security, legal, finance, and medical-adjacent tasks. It ensures high-stakes applicability by demanding verifiable accuracy and explicit uncertainty handling before any final answer is delivered.

What is the best way to handle AI uncertainty and demand explicit confidence?▼

The best way to handle AI uncertainty is implementing a 100/100 confidence gate that blocks unverified answers. This approach grounds outputs in evidence and forces explicit uncertainty checks for high-stakes tasks.

When do I need an evidence-based reliability gate for AI outputs?▼

You need an evidence-based reliability gate when working with high-stakes, sensitive queries requiring 100% confidence. It prevents guessing by enforcing strict reliability checks and returning missing data checklists for incomplete evidence.