fatmuh/agentic-workflow-skills@main
Every screen looks right with polite data. This skill feeds a surface the data it dreads — names past 150 characters, one-letter names, counts in the hundreds of thousands, collections that arrive empty — at the cheapest place the app will accept it, and records what breaks. It runs in a fresh session with no memory of any Dev work (ADR 0004): every fact is re-read from the target repo.
Two commitments hold throughout. No application code is edited — not markup, not styles, not the data layer; the run may add its own throwaway render harness, clearly marked as the run's, and nothing else. And the data is plausible, never filler: values are built from the repo's own documented shapes, because a wall of "aaaa" proves nothing a user could produce.
docs/agentic-skills/stack.md — the pinned test command (the only runner this run uses), the language and framework facts. No config means derive from the repo's own manifests and say which evidence stood in; a surface that cannot be rendered headlessly at all belongs to the fallback below.docs/agentic-skills/ui-gates.md — the hard gates and any documented gate exceptions. The 320px overflow gate is this skill's natural finding category: an overflow under worst-case data is a gate break unless an exception covers exactly it.docs/agentic-skills/data.md — the worst-case fabrication profile's documented shapes (name lengths, one-letter values, the huge counts and prices, the empty collections). These shapes are the dataset's source, adapted to the fields the surface actually renders.GLOSSARY.md and docs/adr/ when present — findings named in the repo's vocabulary, deliberate edges honored as decisions rather than reported as defects.Walk the surface's rendered fields and give each one its documented edge, mixed across rows in one dataset — many fields stressed together, not one row per terror: