Create and maintain qualitative evaluation briefs under .ai/evals/<slug>.
npx skills add https://github.com/Honigbart/honeyflow --skill quality-eval
Please help me install this Agent Skill. Skill: quality-eval Source: https://github.com/Honigbart/honeyflow/tree/main/quality-eval Command: npx skills add https://github.com/Honigbart/honeyflow --skill quality-eval
Qualitative validation can be slow to organize and reproduce across fresh sessions. This skill provides a durable workflow for creating and running eval briefs, and scaffolds the artifacts under .ai/evals/<slug>/ to preserve context, runs, and conclusions.
Create an eval slug and run Prepare mode to set up a durable eval brief in a fresh session.
High-intent search queries and answers about installing and using this skill.
You can track qualitative evaluation results across sessions by generating durable eval briefs and storing artifacts under .ai/evals/<slug>/. This structured file approach preserves context, run logs, and conclusions for slow or multi-variant scenarios.
The best way to compare model output quality is using a durable eval brief that logs separate runs and results for each variant. This method supports behavior checks and UX judgments across multiple variants, prompts, or flows.
To set up a durable evaluation brief, create an eval slug and run Prepare mode. This configures a structured brief.md file that scaffolds the necessary artifacts to execute and track your UX judgments.
No, you do not need special tooling to run qualitative model comparisons. The process relies on standard file structures to store evaluations and requires no dependencies beyond the basic directory setup.
Yes, you can resume a slow validation run without losing context. The Run/Resume mode executes validations using the preserved run logs and results tracked under the .ai/evals/<slug>/ directory.
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