Verify eval batch results and generate a concise summary.
npx skills add https://github.com/SamyakJhaveri/loam --skill post-eval
Please help me install this Agent Skill. Skill: post-eval Source: https://github.com/SamyakJhaveri/loam/tree/main/seed/_research/skills/post-eval Command: npx skills add https://github.com/SamyakJhaveri/loam --skill post-eval
Post-batch analysis pipeline that runs after an eval batch completes. Use after /eval-run or /overnight-eval finishes. Verifies results, runs analysis scripts, refreshes dashboard, writes summary. Does NOT launch new eval runs.
Invoke the post-eval pipeline after an eval batch completes to verify results and generate a summary.
High-intent search queries and answers about installing and using this skill.
Automating post-batch evaluation analysis involves running a pipeline that verifies eval batch results, executes analysis scripts, refreshes dashboards, and generates a concise structured summary for reporting.
Verifying results after an overnight eval run requires an automated post-eval pipeline that performs integrity checks, validates outputs across multiple models and configurations, and classifies outcomes to ensure quality.
No, the post-eval pipeline does not launch new evaluation runs. It strictly processes completed eval batches to verify results, run analysis scripts, refresh dashboards, and write structured summaries.
Generating a summary report after an evaluation batch uses a post-eval pipeline to run script-driven analysis, classify outcomes across models and configurations, and write a concise structured summary for visibility.
Yes, post-eval analysis applies across multiple models and configurations to validate outputs, execute integrity checks, refresh dashboards, and generate structured summaries ensuring quality and visibility.
A post-eval analysis pipeline implements sequential steps for integrity checks, result verification, script-driven analysis, dashboard updates, and structured summary generation to process completed eval batches.
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