SkillCheatSheet
dogfood
An AI agent skill from mvschwarz/openrig, scored 74 out of 100 by code.
Code score by group
It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- mvschwarz/openrig
- Folder
- skills/_canonical/process/dogfood
- License
- Apache-2.0
- GitHub stars
- 8,830
- SKILL.md lines
- 230
- Other files
- 3
Add dogfood to your agent
npx skills add mvschwarz/openrig --skill dogfoodThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
Labelled for
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All skills in mvschwarz/openrig
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.