Query AgMoDB snapshot data for model and benchmark rankings.
npx skills add https://github.com/mistakeknot/Demarch --skill interrank
Please help me install this Agent Skill. Skill: interrank Source: https://github.com/mistakeknot/Demarch/tree/main/.gemini/generated-skills/interrank Command: npx skills add https://github.com/mistakeknot/Demarch --skill interrank
This Skill provides a snapshot-backed ranking mechanism for models and benchmarks, specifically designed for the AgMoDB system, ensuring efficient and consistent evaluation.
Use the interrank skill to get the ranking for the 'bert-base' model on the 'mnli' benchmark.
High-intent search queries and answers about installing and using this skill.
To retrieve historical model rankings from AgMoDB snapshots, you query the snapshot-backed data specifically for model and benchmark performance metrics. This read-only approach ensures consistent evaluation without modifying the underlying database.
Comparing AI model performance across benchmarks is best handled by querying historical snapshot data. This mechanism provides a consistent, read-only ranking of models to inform future development decisions based on past evaluations.
Yes, you can use a read-only MCP plugin to query existing benchmark data. It is specifically designed to retrieve model and benchmark rankings from AgMoDB snapshots without allowing direct modification of the stored information.
Handling unknown metric or benchmark keys when evaluating model rankings requires explicit management within your query. The system mandates strict adherence to snapshot compatibility, ensuring unknown keys do not disrupt the evaluation process.
To get the performance ranking for bert-base on the mnli benchmark, you execute a targeted query against the AgMoDB snapshot data. This retrieves the specific historical ranking results for that model and benchmark combination.
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