eval_batch.sh: N back-to-back sessions with per-session summaries.
ab_card_skip.sh: A/B the jev vs combined card-reward skip policy and
compare deck size and progress from the game's run history.
observe -> decide -> act loop: Timeline preflight, stuck detection,
duplicate-action suppression, deck snapshot persistence. Appends one
JSON line per decision and per rejected action to
capture/decisions.jsonl for tail -f.
Batched question API (noul/choice/score), retrying transport, and a
margin-based confidence gate. Every call appends one JSON line of
questions and parsed answers to $JEV_TRACE when set; tracing never
raises, so it cannot break a run.
Pure computation: lethal damage lines, block values, threat model,
deck counts, affordability. Jev never does arithmetic; facts.py
computes the numbers and passes conclusions in.
sts2.py: thin client for the mod's localhost HTTP API, maps
state_type -> legal actions (the action space), strict
observe -> act once -> observe-again loop.
capture.py: manual state snapshot tool for building facts.py.
Full C# source of the kunology STS2MCP fork (McpMod HTTP bridge for
game state and actions) plus the prebuilt 194,560-byte release DLL and
its manifest. The rebuilt fork DLL from docs/research/03 is not saved;
rebuild from this source if the pinned 0.4.0 breaks on a game update.
DESIGN.md covers the three-layer architecture (facts in code, Jev for
tactics, gated escalation for macro). research/ documents the engine and
mod surface, the Jev classifier's measured behavior, the STS2MCP HTTP
interface, state shapes, failure modes, decision architecture, and a
run log of the first four sessions.
