Score the first os-me version and try it live with Jared #942
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jared/cc-os#942
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Problem
The os-me skill must be evaluated and tested in a live session before proceeding to ongoing tuning.
Question
Does the first version predict Jared's replies, and does it work in a real session?
Context
Map: #936
/os-me:predictand/os-me:respondin a realcc-ossession and in one other repository. Confirm that the hook logs the invocation and that the next invocation processes the queue and updates the Store.Blocked by #941
The score and the invocation checks are AFK. The reading is HITL.
Resolution
Done: Baseline replay score run and logged. /os-me:predict invoked from a new process in cc-os and in thinkfast: the skill loaded, the fallback agent returned a Prediction, and the hook logged both invocations to the Store queue.
Evidence: plugins/os-me/eval/score-log.jsonl: agreement 0.05 (1/20), model claude-sonnet-5-5, cost 2.68 USD, Store 483098e (measured before the read-limit fix). Queue file has 2 lines. Store HEAD unchanged at 483098e after the checks.
Follow-ups: none filed; the four open points above wait for Jared
Needs review: Jared reads three real Predictions and pushes back (first live learning input), and rules on four open points: (1) baseline agreement is 1 of 20; change the fixed score to report per action class and reply-type agreement, or keep it; (2) move the learning step to a background agent so the answer returns fast; (3) the fork agent type was unavailable in headless runs, so the fallback agent ran; confirm the fork path in an interactive session; (4) the learning step did not run in the headless checks, so queue processing is not yet proven.