bed0557b65
Ran 15-way blinded comparison (5 topics x 3 versions). CROSS won all 5 topics (4.74/5.0 avg vs HN 4.10, Base 3.73). Then improved CROSS further: - dedupe.py: hybrid similarity (token+trigram Jaccard) at 0.40 threshold, cross-source links went from 3 to 13 items across 5 topics - render.py: [xref: HN5, HN4] -> [also on: HN, Reddit] for human-readable tags - youtube_yt.py: SYNONYMS dict so "hip hop" matches "rap" (0.33 -> 0.71 score) - SKILL.md: instruction #7 tells Claude to lead with cross-platform signals Validation: improved CROSS scores 4.38/5.0 vs original 3.98 (+0.40), wins 4/5 topics. Biggest gains in specificity (+0.8) and format compliance (+1.0). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
15 lines
287 B
JSON
15 lines
287 B
JSON
{
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"openai": true,
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"xai": true,
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"x_source": "bird",
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"bird_installed": true,
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"bird_authenticated": true,
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"bird_username": "env AUTH_TOKEN",
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"youtube": true,
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"hackernews": true,
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"web_search_backend": null,
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"parallel_ai": false,
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"brave": false,
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}
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