Import image and video evaluation reports into a local SQLite database.
npx skills add https://github.com/byteplus-sa/polym --skill polym-eval-db
Please help me install this Agent Skill. Skill: polym-eval-db Source: https://github.com/byteplus-sa/polym/tree/main/skills/polym-eval-db Command: npx skills add https://github.com/byteplus-sa/polym --skill polym-eval-db
This Skill removes the friction of manually organizing and comparing large volumes of image and video evaluation results by storing them in a persistent SQLite database and enabling fast analysis.
eval.db.Run import_report.py on an evaluation HTML URL, then run query.py stats to see overall win/loss/tie for the imported report.
High-intent search queries and answers about installing and using this skill.
The Skill ingests image evaluation HTML reports into SQLite by running the import_report.py script on the URL. This stores pairwise comparison data in a local eval.db for analysis.
Yes, the Skill calculates and caches Elo rankings for overall or specific dimensions across imported report sets. It computes Elo scores from pairwise evaluation data stored in the local SQLite database.
The best way to query win rates and per-dimension breakdowns is running the query.py stats CLI script against the local eval.db. It computes overall win/loss/tie statistics and dimension-specific results from imported video comparisons.
Yes, the video evaluation import supports pulling comparisons directly from a MySQL database using the pymysql dependency. It transfers video GSB comparisons into the local SQLite database for unified analysis.
You resolve the database storage path by configuring the EVAL_DB_PATH environment variable. The CLI scripts use this variable for deterministic SQLite storage, with an optional bootstrap download of a default database.
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