grace-verification

Define and enforce deterministic verification plans for GRACE workflows.

3|2|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/ShutovKS/tts-server --skill grace-verification-shutovks
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grace-verification
Source: https://github.com/ShutovKS/tts-server/tree/main/.opencode/skills/grace-verification
Command: npx skills add https://github.com/ShutovKS/tts-server --skill grace-verification-shutovks

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design verification for autonomous agents to be trustworthy by ensuring deterministic behavior and observable evidence across GRACE workflows.

Core Features & Use Cases

  • Provides a structured verification plan framework that reads module contracts, development plans, and verification plans.
  • Supports deriving verification targets, observable telemetry, and evidence-rich results for multi-agent scenarios.
  • Scales from module-level checks to wave/phase-level readiness with clear failure triage.

Quick Start

Run the GRACE verification workflow on the target module to generate a verification plan and evidence.

Frequently Asked Questions about grace-verification

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

FAQPage Schema
How do I make autonomous agent verification deterministic and observable?

To make autonomous agent verification deterministic and observable, you need a structured framework that enforces traceable checks and captures execution telemetry. This Skill provides that structure by deriving verification targets from module contracts and generating evidence-rich results.

What is traceable contract-based verification for multi-agent workflows?

Traceable contract-based verification is the process of validating module interactions against predefined contracts while capturing observable telemetry evidence. It ensures multi-agent scenarios produce deterministic, traceable results for clear failure triage and phase-level readiness.

How do I derive verification targets from a module development plan?

You derive verification targets by reading module contracts and development plans to identify required behaviors. The verification workflow then maps these requirements into deterministic checks and observable telemetry for evidence collection.

Does this verification approach scale from module-level checks to phase-level readiness?

Yes, this verification approach scales from module-level checks to wave and phase-level readiness. It applies deterministic contract enforcement and observable execution tracing across multi-agent scenarios to provide clear failure triage.

What is the best way to generate an evidence-rich verification plan for autonomous agents?

The best way to generate an evidence-rich verification plan is to run a structured workflow that reads existing contracts and derives specific observable telemetry targets. This ensures autonomous agents produce traceable, deterministic verification results.

Why does autonomous agent testing fail to provide clear failure triage?

Autonomous agent testing fails to provide clear failure triage when it lacks deterministic execution tracing and observable evidence. Without reading module contracts to derive traceable verification targets, identifying the root cause of workflow failures becomes unreliable.