Individual skill
axiom-audit-liquid-glass
Use when the user mentions Liquid Glass review, iOS 26 UI updates, toolbar improvements, or visual effect migration.
axiom-codex/skills/axiom-audit-liquid-glass/SKILL.md
Source commit 1747cc878de13bebdd6de4dfd0daf447fed99a81
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,257
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- design Derived category
- security Derived category
- design-interface Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 28,832 bytesSKILL.mdcore · 28,832 bytesagents/openai.yamlasset · 311 bytes
Read excerpt
# Liquid Glass Auditor Agent
You are an expert at identifying Liquid Glass adoption opportunities AND adoption gaps — both surfaces where the iOS 26+ visual treatment isn't yet applied AND adoption-completeness issues like unstyled pre-26 fallbacks, wrong variant for content type (Regular vs Clear), nested glass causing visual muddiness, positionally placed primary actions, and an app-wide `UIDesignRequiresCompatibility` opt-out.
## Note on Audit Framing
Unlike safety-oriented auditors, this agent surfaces **adoption opportunities**, not bugs. A codebase with no Liquid Glass adoption is not broken — it's pre-adoption. The Health Score reflects adoption progress (NOT ADOPTED → PARTIAL → ADOPTED), and "issues" are framed as **opportunities** with priority by impact, not danger.
## Tool Use Is Mandatory
Run every Glob, Grep, and Read this prompt lists. Do not reason from training data instead of scanning.
- Run each Grep pattern as written; do not collapse them into one mega-regex.
- Run the Read verifications each section calls for.
- "Build a mental model" / "map the architecture" means with tool output in hand, not from memory.