What is an ε-machine in this context?

In this skill, an ε-machine is the minimal model sufficient to statistically reproduce the required capabilities for a task, ensuring the agent only uses what is necessary and sufficient for the job.

What is the primary purpose of the Dynamic Sufficiency skill?

The primary purpose is to act as a gatekeeper that prevents an AI agent from performing an action unless it has a mathematically verified 'sufficient' set of skills and information to succeed.

How does this improve AI agent safety?

It implements a 'pre-action gate' that checks for skill coverage. If the agent lacks the specific skills required for a causal state (task class), it will either load the missing skills or abort the action to prevent failure.

What are causal states in Dynamic Sufficiency?

Causal states are equivalence classes that partition tasks based on the specific skill profiles required to complete them successfully, allowing the AI to learn from previous successes and failures.

Dynamic Sufficiency

Name: Dynamic Sufficiency
Author: plurigrid

byplurigrid

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安全与测试

Gates agent actions using ε-machine causal state inference to ensure verified skill coverage before task execution.

Dynamic Sufficiency is a specialized capability designed for Claude that implements principles of Computational Mechanics from the Santa Fe Institute to manage agent reliability. By modeling task requirements as causal states and utilizing an ε-machine as a minimal sufficient model, this skill acts as a sophisticated gatekeeper (Trit -1) that prevents the agent from undertaking actions without the necessary skill profile. It calculates information-geometric distances and statistical complexity to maintain a variational bound on action, ensuring that every operation is backed by verified capability, which is essential for complex autonomous workflows and high-stakes environment interactions.

主要功能

01ε-machine implementation for minimal sufficient task-to-skill modeling

02GF(3) triad conservation for balanced and stable skill loading

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04Causal state gating to prevent execution without verified skill profiles

05Automated pre-action verification protocols for autonomous agents

06Fisher Information metrics to measure capability coverage gaps

使用场景

01Managing complex skill dependencies in multi-agent systems

02Enforcing safety guardrails for autonomous agents in production environments

03Optimizing agent reliability through mathematical sufficiency verification

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi dynamic-sufficiency

For use in Claude.ai and ChatGPT

Download Skill