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Track AI model leaderboard rankings over time and detect rank/score changes between snapshots
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| name | leaderboard |
| version | 1.3.0 |
| description | Track AI model leaderboard rankings over time and detect rank/score changes between snapshots |
Track AI model leaderboard rankings over time using SQLite snapshots. Detect new models, removed models, rank changes, and score changes between dates.
| Leaderboard | URL | Modality |
|---|---|---|
| LMSYS Chatbot Arena | https://lmsys.org | Text, Vision |
| LMArena | https://lmarena.ai | Text, Vision |
| HuggingFace Open LLM | https://huggingface.co/spaces/open-llm-leaderboard | Text |
| Artificial Analysis | https://artificialanalysis.ai | Text, Image, Video |
| Scale AI SEAL | https://scale.com/leaderboard | Text |
cd {SKILL_DIR} && python3 skills/leaderboard/scripts/leaderboard_snapshot.py save \
--leaderboard "chatbot-arena" \
--date 2026-04-14 \
--data '[{"model": "claude-4-opus", "rank": 1, "score": 1350}]'
Prints the diff against the previous snapshot (new models, rank changes, score changes).
cd {SKILL_DIR} && python3 skills/leaderboard/scripts/leaderboard_snapshot.py latest \
--leaderboard "chatbot-arena"
Snapshots are stored in ~/.cache/morning-ai/leaderboard.db (SQLite). Each entry has:
leaderboard — leaderboard identifiermodel — model namerank — position on the leaderboardscore — numeric score (ELO, accuracy, etc.)snapshot_date — date of the snapshotThis skill is currently a standalone utility. It can be integrated into the main morning-ai workflow as a Benchmark data source:
TrackerItem entries for rank changesTo integrate, a collector module (lib/leaderboard_collector.py) would:
save_snapshot() to persistdiff_snapshot() to detect changesTrackerItem objects with Benchmark type