frontier-describe

To generate OpenUI gold record metadata, this skill processes local worklist files to produce frozen JSON frontier bundles containing L1-L5 ladder descriptions, paraphrases, and edit instructions while enforcing strict structural constraints to ensure deterministic training data integrity.

Frontier bundle validation prevents OpenUI DSL leakage by strictly enforcing structural constraints during JSON generation, verifying artifact hashes via Python execution, and blocking the introduction of unauthorized placeholders or DSL patterns within the gold record metadata.

Yes, you can use Python scripts to automate metadata generation for OpenUI worklists. The skill requires Python-based execution to verify artifact hashes, generate paraphrases, and finalize pending frontier bundles while maintaining strict deterministic validation.

The best way to track provenance for OpenUI gold record metadata is using automated stamping. The skill automatically stamps artifacts with skill versions, prompt hashes, and timestamps, ensuring full auditability for TwoTower model training data preparation.

Yes, OpenUI frontier metadata generation explicitly supports laddered intent descriptions. It generates L1-L5 ladder descriptions alongside paraphrases and minimal edit instructions for new gold records, ensuring they remain placeholder-safe and structurally sound.

Training data validation fails on unauthorized placeholders because the skill enforces strict structural constraints to prevent DSL leakage. It verifies artifact hashes and blocks any unauthorized placeholder patterns from being introduced into the frozen JSON frontier bundles.