df72e51ea1
- 11 checks across 2 tiers (6 statistical + 5 pattern), up from 6 - Continuous 0-1 scores instead of pass/fail booleans - Each check maps to a writing-config parameter via param field - New checks: negative emotion ratio, adverb density, vocabulary richness, sentence length range, self-correction patterns - New --tier3 flag for agent to pass LLM structural analysis score - param_scores in JSON output: flat param→score map for optimization - Standalone mode redistributes weights (T1=62.5%, T2=37.5%) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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| .. | ||
| build_openclaw.py | ||
| build_playbook.py | ||
| diagnose.py | ||
| fetch_hotspots.py | ||
| fetch_stats.py | ||
| humanness_score.py | ||
| learn_edits.py | ||
| optimize_loop.py | ||
| seo_keywords.py | ||