pi-extension-schema-timestamp-hardening

Adds createdAt and updatedAt fields to Pi extension data schemas and persistence layers.

Updated May 15, 2026
One-click install
npx skills add https://github.com/ruskibeats/t1d --skill pi-extension-schema-timestamp-hardening
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pi-extension-schema-timestamp-hardening
Source: https://github.com/ruskibeats/t1d/tree/main/.pi/skills-archive/pi-extension-schema-timestamp-hardening
Command: npx skills add https://github.com/ruskibeats/t1d --skill pi-extension-schema-timestamp-hardening

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures data integrity and history tracking in Pi extensions by adding timestamps to data schemas.

Core Features & Use Cases

  • Timestamped Schemas: Adds createdAt and updatedAt fields to data schemas for history tracking.
  • Proper Initialization: Ensures correct initialization and management of timestamps.
  • Invariant Checking: Upgrades invariant checkers to enforce timestamp invariants.
  • Persistence Verification: Confirms correct reading and writing of timestamp fields in persistence layers.

Quick Start

Apply the pi-extension-schema-timestamp-hardening skill to your Pi extension to enhance data schema security and auditability.

Frequently Asked Questions about pi-extension-schema-timestamp-hardening

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

FAQPage Schema
How do I add timestamps to Pi extension data schemas for history tracking?

Yes, Pi extension schema hardening upgrades invariant checkers to enforce timestamp invariants. This verifies that timestamp fields are correctly read and written within the persistence layer during state updates.

What is the best way to ensure data integrity in Pi extensions?

The best way to ensure data integrity in Pi extensions is by hardening data schemas with timestamping. This approach adds proper initialization and invariant checking to track history and enforce persistence verification.

When do I need timestamped schemas for Pi extension development?

You need timestamped schemas for Pi extension development when your application requires history tracking, auditability, and robust state persistence. This is essential for reporting and maintaining accurate historical data states.

Does schema hardening work with existing Pi extension state reducers?

Schema hardening integrates with existing Pi extension state reducers by enforcing timestamp invariants. It ensures correct initialization and management of timestamps, verifying that persistence layers handle timestamp fields properly.