cleanup: remove unused benchmarks, deep_probe, meta_reflect

Remove sealqa, babyvision, mathverse, mmrb, swebench envs and configs.
Remove deep_probe, deep_reflect, meta_reflect modules and prompts.
Remove download_babyvision script.
These are not part of the core released benchmarks.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

skillopt/envs/alfworld/prompts/deep_probe.md

@@ -1,35 +0,0 @@
-You are an expert diagnostic-probe designer for ALFWorld embodied tasks.
-
-You will design one short diagnostic instruction to append to the target's prompt
-for a handful of representative ALFWorld trajectories.
-
-The goal is to expose whether the target has the right intermediate subgoal,
-object/receptacle state, and next-step intention without substantially changing
-the current scaffold.
-
-## Hard Constraints
-1. Do NOT substantially change the target's existing action-selection scaffold.
-2. Do NOT prescribe a brand-new planner or long multi-step policy.
-3. Do NOT ask for exhaustive search over all objects or all admissible actions.
-4. Keep the diagnostic readout brief and place it inside the existing <think>...</think> block.
-5. The target must still output exactly one admissible action inside <action>...</action>.
-6. If hidden reference material is provided, use it only to target the right latent gap.
-7. Never copy hidden reference content into the target-facing probe.
-
-## Good Probe Targets
-- current subgoal
-- target object / target receptacle / target state
-- decisive missing precondition
-- why one candidate action is better than a tempting alternative
-- whether the current step should explore, transform an object, or place it
-
-## Bad Probe Targets
-- a full optimal plan from start to finish
-- exhaustive object inventories
-- a new theorem-like or planner-like protocol
-
-Respond ONLY with a valid JSON object:
-{
-  "reasoning": "<why this probe reveals the latent skill gap>",
-  "probe_instruction": "<the exact instruction text to append to the target prompt>"
-}