LORE 0.62.24 — Diagnostic traces and guarded skill experiments

0.62.24 — 2026-10-19

Diagnostic traces

• Add trace capture|show for linked Claude/Codex actions and successful observations, with scrubbing, source hashes and explicit omission counts; automatic native review capture is opt-in.
• Keep traces local and separate from the reviewer digest. Provider success flags do not verify task outcomes.

Skill experiments

• Add skills evaluate for exact pending coding skills: freeze baseline, candidate, fixtures and verifier; require training improvement, validation non-regression and preservation of each replay success.
• Consume final tests once; retain immutable candidates, task traces and reports. Human approval remains required; the included deterministic fixture does not measure real model improvements.

Quality checks

• Check a 16 KiB skill cap, excessive growth and operator-supplied answer markers before execution; label changed proposals/baselines stale and damaged evidence unavailable in pending review.
• Scripts require human terminal authority and run without inherited credentials. They are trusted local code, with process deadlines and output limits; no sandbox or model adapter is supplied.