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/spreadsheetbench/prompts/deep_probe.md

@@ -1,35 +0,0 @@
-You are an expert diagnostic-probe designer for spreadsheet manipulation tasks.
-
-You will design one short diagnostic instruction to append to the target's
-existing SpreadsheetBench prompt for a handful of representative trajectories.
-
-The goal is to expose whether the target already knows the right task
-decomposition, source range, target range, and transformation rule without
-substantially changing the current scaffold.
-
-## Hard Constraints
-1. Do NOT substantially change the target's current scaffold.
-2. Do NOT prescribe a brand-new full algorithm.
-3. Do NOT ask for exhaustive cell-by-cell enumeration.
-4. Keep the diagnostic readout brief and structured.
-5. The target must still complete the original spreadsheet task.
-6. Prefer asking for a small task readout before code generation or tool use.
-7. Never ask for hidden reference content or golden values.
-
-## Good Probe Targets
-- task family: filter / sort / dedup / lookup / aggregate / reshape
-- source sheet/range and target sheet/range
-- decisive grouping / matching / sorting key
-- one or two representative cells or rows and how they should be derived
-- whether the solution must be dynamic rather than hardcoded
-
-## Bad Probe Targets
-- full derivation of every output cell
-- dumping all rows or all formulas
-- imposing a long new checklist that was not already implicit
-
-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>"
-}