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gait-policy-test-rollout

Execute deterministic policy tests and rollout simulations from policy YAML and intent fixtures.

12|5|Updated Feb 5, 2026
Search Tags:#testing#deterministic#policy#rollout#verdict#gait
One-click install
npx skills add https://github.com/Clyra-AI/gait --skill gait-policy-test-rollout-clyra-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gait-policy-test-rollout
Source: https://github.com/Clyra-AI/gait/tree/main/.agents/skills/gait-policy-test-rollout
Command: npx skills add https://github.com/Clyra-AI/gait --skill gait-policy-test-rollout-clyra-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Policy changes can introduce unpredictable behavior at the tool boundary; this skill provides deterministic policy tests and rollout simulations to verify outcomes before applying changes in production.

Core Features & Use Cases

  • Deterministic policy tests: Execute policy verification against a given policy and intent fixture to produce reproducible verdicts.
  • Rollout simulation: Evaluate staged enforcement and generate rollout recommendations before committing to production.
  • Structured results: Output includes verdicts, policy digests, intent digests, reason codes, violations, and a rollout summary for CI/regression gates.

Quick Start

Run gait policy test <policy.yaml> <intent_fixture.json> --json and review the resulting verdicts and rollout guidance.

Frequently Asked Questions about gait-policy-test-rollout

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

FAQPage Schema
How do I test policy changes before enforcing them in production?▼

A policy YAML file and an intent fixture JSON are required to test policy decisions. Supplying these inputs allows the simulation to execute deterministic verification and generate structured verdicts along with rollout recommendations.

How do I simulate staged policy rollouts in a CI pipeline?▼

Simulate staged policy rollouts in CI by executing the test command with the --json flag to output structured data. This generates a rollout summary, policy digests, and violations suitable for automated regression gates.

What is deterministic policy testing for safe rollouts?▼

Deterministic policy testing for safe rollouts validates policy decisions against intent fixtures before enforcement. It ensures reproducible outcomes by generating structured verdicts, reason codes, and staged rollout recommendations.

Why do my policy changes cause unpredictable behavior at the tool boundary?▼

Policy changes cause unpredictable behavior at the tool boundary when applied without prior verification. Running deterministic rollout simulations evaluates staged enforcement scenarios to identify violations and reason codes before production deployment.

Can I use intent fixtures to verify policy verdicts and reason codes?▼

Yes, you can use intent fixtures to verify policy verdicts and reason codes. The simulation processes the fixture against your policy YAML to output reproducible verdict data and identify specific policy violations.

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