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Patrick Buckley
1010f163f0
* feat: load_skill built-in tool — model-driven skill discovery and activation Two-action tool: 'search' finds skills by multi-word query with substring matching on name/description/tags/category (auto-approved, read-only); 'load' activates a skill by name via set_skill() (requires approval). Guards: filters disabled skills from search + load; short-circuits when skill is already active; approval_label includes skill name for granular tool policies (load_skill__<name>); main session only (excluded from sub-agents). Logs storage errors in search path. 25 tests covering registration, preparer validation, executor logic, disabled/already-active edge cases, multi-word queries, approval labels. * refactor: use BM25 relevance ranking for load_skill search Replace substring matching with BM25Index from turnstone/core/bm25.py, matching the pattern used by memory relevance and tool search. Handles multi-word queries, term frequency, and document length normalization. * fix: address copilot review — BM25 tags parsing, primary_key, test cleanup - Parse JSON tags into space-separated text before BM25 indexing so individual tag terms match queries (was passing raw '["foo","bar"]') - Add primary_key: "name" to load_skill.json for PRIMARY_KEY_MAP - Remove dead resolve_workstream patch from test helper - Update diagram: "substring match" → "BM25 ranking"