Files
Open_Ultra_SAST/.kiro
Marius CiepluchandClaude Opus 5 3acad97297 docs(learning-harness): 5.3 targets injection, and 5.2 waits on the key
Measured on the corpus under the split and review-tier rules, access_control
has 1 train teacher and 4 holdout pairs: every agent-vfc row sits at tier
`title` and the vibe-py absence rows that could teach are trap pairs whose
two sides are different handlers, so the train split teaches zero obligation
shapes. injection has 12 teachers and 10 holdout pairs, the only family with
enough train evidence to tell a real change from noise.

Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
2026-09-06 14:03:35 +02:00
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