Listing skills ran one database query per skill in the instance. A non-admin opening the list on a workspace with 500 skills issued over 500 queries, the paginated list re-resolved the caller's group membership once per row, and every chat message carrying a skill loaded every skill the user can read, full body and owner included, to use the two or three it actually referenced.
Skills now arrive already filtered: the owner-or-grant check runs in the query as an EXISTS subquery, the same way prompts and the search endpoints already do it, the per-item write flag uses the existing batch grant lookup, and the chat path asks only for the skill ids the request names.
Measured with 500 skills of which 3 are visible to the caller: 504 queries and ~300 ms before, 4 queries and ~2.6 ms after. The resulting set is unchanged for owner, public, direct-user, group and multi-grant entries, for both read and write.
Both session factories run with expire_on_commit=False, so ORM objects keep their attribute values after commit. Every session.refresh issued right after a commit therefore re-SELECTed a row whose values the session already held, including full chat JSON blobs and user settings, purely to overwrite identical data. Fifty such calls existed across the model layer, covering nearly every write path in the app (chat inserts, title updates, pin/archive toggles, user role and settings updates, tool, prompt, function, model, file, tag, feedback, memory, automation and grant writes).
All fifty are removed. The only refreshes with an actual job were the two update-then-reload paths in tools and skills, where a Core UPDATE statement bypasses the identity map; those now use session.get(..., populate_existing=True), which guarantees a fresh row in one SELECT whether or not the row was already present in the session (the previous code issued get plus refresh, two SELECTs, on the default configuration).
Benchmark (real SQLite DB, per write):
| write path | before | after |
| --- | --- | --- |
| chat title update, ~600 KB chat blob | 2.08 ms | 1.24 ms |
| user role update, small row | 1.21 ms | 0.68 ms |
On Postgres each removed refresh is additionally a network round trip. The chat-blob case also skips re-parsing the entire JSON document per write.
Functionally verified against a fresh database: user insert, role and settings updates, chat insert (including the server-default meta column, which is always provided client-side), title update and pin toggle, tool insert and the Core-update reload path, tag insert and the prompt insert flow that pins version_id after history creation all return correct values and persist correctly.
Classic298