feat: improve skill, eval system, and tessl config
- Optimize codeflash-optimize SKILL.md (review score 17% → 98%, eval 87% → 100%)
- Fix frontmatter (allowed-tools format, argument-hint under metadata)
- Lead description with concrete actions, explicit agent launch parameters
- Add multi-run variance detection to eval system (--runs N flag)
- score.py aggregate command: min/max/avg/stddev per criterion, flaky detection
- check-regression.sh defaults to 3 runs for reliable regression detection
- Add per-criterion regression tracking to baseline-scores.json (v3)
- Reports exactly which criteria regressed, not just total score drops
- Rename evals/ → codeflash-evals/ to avoid tessl directory conflicts
- Switch tessl to managed mode, gitignore vendored tiles and symlinks
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