last30days-skill

Files

T

Jeffrey Sperling c5be117701 Replace hardcoded 0.7 relevance with computed token-overlap scores

- bird_x: parse_bird_response now accepts query param and computes
  token_overlap_relevance against tweet text
- reddit: _normalize_post computes relevance from query vs title+selftext
- hackernews: blends 60% Algolia rank + 40% token overlap + engagement

This makes the 45%-weight relevance factor in score.py actually
differentiate results instead of being a constant.

2026-03-11 18:32:45 -07:00

lib

Replace hardcoded 0.7 relevance with computed token-overlap scores

2026-03-11 18:32:45 -07:00

briefing.py

feat(open): Port web search backends, persistence layer, and env merge from openclaw

2026-02-14 23:35:44 -08:00

evaluate-synthesis.py

feat(quality): GOAT synthesis improvements - hybrid cross-source linking, YouTube synonyms, human-readable xref tags

2026-02-25 16:06:53 -08:00

generate-synthesis-inputs.py

feat(quality): GOAT synthesis improvements - hybrid cross-source linking, YouTube synonyms, human-readable xref tags