fix: address eval review - assertion mismatches and factual error

- marketing-psychology eval 4: BJ Fogg assertion did not match expected_output
  which lists Goal-Gradient Effect. Fixed.
- sales-enablement eval 2: all 6 categories assertion contradicted expected_output
  which only categorizes the 3 given objections. Fixed.
- ad-creative eval 5: TikTok hard limit corrected to recommended (80 chars
  recommended, 100 max) per SKILL.md.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

skills/marketing-psychology/evals/evals.json

@@ -49,7 +49,7 @@
       "prompt": "I'm designing an onboarding flow and want to use behavioral psychology to increase activation. What models should I apply?",
       "expected_output": "Should apply design and behavioral models from the skill's taxonomy: Goal-Gradient Effect (motivation increases near goal), Hick's Law (reduce choices), IKEA Effect (let users build something), Endowment Effect (let them experience ownership), Zeigarnik Effect (incomplete tasks drive completion), Commitment & Consistency (small asks first). Should explain how each applies to onboarding specifically. Should provide actionable recommendations for each model.",
       "assertions": [
-        "Applies BJ Fogg Behavior Model",
+        "Applies Goal-Gradient Effect",
         "Applies Hick's Law",
         "Applies IKEA Effect or Endowment Effect",
         "Applies Zeigarnik Effect or commitment principles",