Automate consumer-use validation of Aether features with fresh agents.
npx skills add https://github.com/iamacoffeepot/aether --skill dogfood-iamacoffeepot
Please help me install this Agent Skill. Skill: dogfood Source: https://github.com/iamacoffeepot/aether/tree/main/.agents/skills/dogfood Command: npx skills add https://github.com/iamacoffeepot/aether --skill dogfood-iamacoffeepot
This Skill automates the validation of Aether features by simulating consumer usage, logging any issues, and optionally providing judgment on rendered output.
Run the dogfood validation for the feature 'Feature XYZ' with the PR number 12345 using the command: dogfood validate -i 12345 -p 'Feature XYZ'.
High-intent search queries and answers about installing and using this skill.
You can automate consumer-use validation by running a workflow-driven test with fresh agents that consume public surfaces, log friction, and optionally judge rendered output to report category-specific issues and artifact verdicts.
Feature validation using fresh agents simulates consumer usage on public surfaces to detect potential issues like awkward compositions, missing primitives, or documentation gaps, summarizing findings into grouped friction and artifact verdicts.
Running an automated dogfood test requires a feature issue or scope, public surface pointers, and an optional task object to perform the workflow-driven test and report findings.
You can optionally judge rendered output with a separate subagent during feature validation, providing an additional layer of validation through artifact verdicts in the final rollup report.
Run the dogfood validation using the command `dogfood validate -i [PR number] -p '[Feature Name]'` to execute the consumer-viewpoint test and persist the evidence.
The rollup report includes totals, grouped friction, artifact verdicts, and soft holds, summarizing all findings and persisting the evidence from the consumer-use validation workflow.
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