last30days-skill

sawz/last30days-skill

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Author	SHA1	Message	Date
Jeffrey Sperling	cbee987f65	Extract relevance_filter, add Bluesky/TruthSocial type hint + test coverage - Extract _relevance_filter from last30days.py closure to score.relevance_filter() for testability - Add BlueskyItem/TruthSocialItem to sort_items() type hint (was missing despite being in _ITEM_SOURCE_MAP) - Add tests: Bluesky/TruthSocial engagement scoring, sort_items mixed sources, relevance_filter behavior (threshold, minimum-result guarantee, missing attr), select_openai_model HTTP 401/403 error paths	2026-03-11 19:09:06 -07:00
P	8a9f734d14	test: add smoke tests and edge case coverage Add end-to-end smoke tests and expand coverage for score and render modules: - test_smoke.py (new): subprocess tests for --diagnose, --help, --mock, and missing topic. Validates exit codes, JSON structure, and source detection (HN/Polymarket always available). - test_score.py: add TestCommentQualityWeight (top_comment_score boost), TestInstagramEngagement (basic scoring, views vs likes weighting) - test_render.py: add TestEnsureOutputDir, TestXrefTag, TestRenderEmptyReport Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-09 16:41:58 -04:00
Matt Van Horn	5ca4829be4	Initial commit: last30days skill Research topics across Reddit + X from the last 30 days using OpenAI and xAI APIs. Features: - Auto model selection (GPT-5.x, Grok-3) - Popularity-aware scoring (relevance + recency + engagement) - Reddit thread enrichment with real metrics - Near-duplicate detection - Multiple emit modes (compact, json, context, path) - 24h caching with --refresh bypass - NUX for API key setup - 87 passing unit tests Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2026-01-23 12:37:31 -08:00

Author

SHA1

Message

Date

Jeffrey Sperling

cbee987f65

Extract relevance_filter, add Bluesky/TruthSocial type hint + test coverage

- Extract _relevance_filter from last30days.py closure to score.relevance_filter()
  for testability
- Add BlueskyItem/TruthSocialItem to sort_items() type hint (was missing despite
  being in _ITEM_SOURCE_MAP)
- Add tests: Bluesky/TruthSocial engagement scoring, sort_items mixed sources,
  relevance_filter behavior (threshold, minimum-result guarantee, missing attr),
  select_openai_model HTTP 401/403 error paths

2026-03-11 19:09:06 -07:00

8a9f734d14

test: add smoke tests and edge case coverage

Add end-to-end smoke tests and expand coverage for score and render modules:

- test_smoke.py (new): subprocess tests for --diagnose, --help, --mock,
  and missing topic. Validates exit codes, JSON structure, and source
  detection (HN/Polymarket always available).
- test_score.py: add TestCommentQualityWeight (top_comment_score boost),
  TestInstagramEngagement (basic scoring, views vs likes weighting)
- test_render.py: add TestEnsureOutputDir, TestXrefTag, TestRenderEmptyReport

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

2026-03-09 16:41:58 -04:00

Matt Van Horn

5ca4829be4

Initial commit: last30days skill

Research topics across Reddit + X from the last 30 days using
OpenAI and xAI APIs. Features:
- Auto model selection (GPT-5.x, Grok-3)
- Popularity-aware scoring (relevance + recency + engagement)
- Reddit thread enrichment with real metrics
- Near-duplicate detection
- Multiple emit modes (compact, json, context, path)
- 24h caching with --refresh bypass
- NUX for API key setup
- 87 passing unit tests

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2026-01-23 12:37:31 -08:00

3 Commits