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pingone-authorize-configure

Configure PingOne Authorize policies, attributes, and conditions via snapshot import.

1|Updated Jun 25, 2026
Search Tags:#access control#identity#pingone authorize#authorization policy#snapshot import#condition dsl#decision endpoint
One-click install
npx skills add https://github.com/curtismu7/AI-DEMO2 --skill pingone-authorize-configure-curtismu7
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pingone-authorize-configure
Source: https://github.com/curtismu7/AI-DEMO2/tree/main/pingone/pingone-authorize-configure
Command: npx skills add https://github.com/curtismu7/AI-DEMO2 --skill pingone-authorize-configure-curtismu7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Setting up the cloud PingOne Authorize trust framework for the AI-Demo banking project is error-prone because the PingOne API cannot create COMPARISON-type conditions directly, forcing manual console work and guesswork about policy IDs, attribute IDs, and decision endpoint wiring. ## Core Features & Use Cases - Snapshot-Based Import: Import the authoritative AI_Demo_Transaction_Authorization_P1AZ.snapshot.json file to recreate the full policy set, including attributes, condition definitions, statements, rules, and policies with preserved synthetic IDs. - Condition DSL Reference: Documents the snapshot condition format (and/or/not/comparison/reference operators) and effectSettings types so policies like RequiresStepUp, HasValidActorChain, and RequiresHitlConsent can be authored correctly. - Post-Import Wiring: Guides the manual steps that snapshots cannot encode, such as binding the decision endpoint to the AI Demo Policies policy set and adding the BFF actor client ID clause to HasValidActorChain. - Use Case: After spinning up a new PingOne environment, import the snapshot, fetch a worker token via client credentials, verify the decision endpoint points to the correct policy set, and confirm HITL and step-up statements map to the right BFF obligations. ## Quick Start Ask the assistant to import the PingOne Authorize snapshot and wire the decision endpoint to the AI Demo Policies policy set using the worker credentials from demo_api_server/.env.

Frequently Asked Questions about pingone-authorize-configure

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

FAQPage Schema
How do I configure PingOne Authorize policies for an AI banking demo?▼

Import the AI_Demo_Transaction_Authorization_P1AZ.snapshot.json file through the PingOne Authorize console Snapshots Import feature. Then complete the manual steps: update the HasValidActorChain condition with your BFF client ID and wire the decision endpoint to the AI Demo Policies policy set.

Why does creating a COMPARISON condition via the PingOne API fail?▼

The PingOne Authorize authorizationConditions POST endpoint returns UNEXPECTED_ERROR for COMPARISON-type conditions and inline comparisons in policy PUT bodies. Only REFERENCE, NOT, and EMPTY types work via API, so complex conditions must be defined in the snapshot file and imported instead.

What is the PingOne Authorize snapshot format for conditions?▼

The snapshot uses a condition DSL with and/or/not operators, reference objects pointing to named condition IDs, and comparison objects with left/right operands that are either attribute references or constants. AttributeDefinitions and ConditionDefinitions appear before the package separator; statements, rules, and policies appear after.

How do I get an access token for the PingOne Authorize API?▼

Send a client_credentials POST to https://auth.pingone.com/{ENV_ID}/as/token using the worker client ID and secret from demo_api_server/.env as basic auth. Never hardcode these credentials; read PINGONE_ENVIRONMENT_ID, PINGONE_WORKER_CLIENT_ID, and PINGONE_WORKER_CLIENT_SECRET from the environment file.

What manual steps are required after importing a PingOne Authorize snapshot?▼

Two steps cannot be encoded in the snapshot: add a clause to the HasValidActorChain condition checking that ActClientId equals your actual BFF actor client ID, and verify or PATCH the decision endpoint so it points to the AI Demo Policies policy set. Re-fetch the decision endpoint ID after every re-import since it changes per environment.

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