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axiom-audit-liquid-glass

Use when the user mentions Liquid Glass review, iOS 26 UI updates, toolbar improvements, or visual effect migration.

Quality

74%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./axiom-codex/skills/axiom-audit-liquid-glass/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a strong, highly actionable audit skill: verbatim search patterns, verified-with-Read detection loops, complete code recommendations with availability fallbacks, a false-positive checklist, and a structured output format. The only real weaknesses are mild duplication between the Phase 2 patterns and the Phase 3/4 tables, and the absence of a bundle to which some pattern detail could be offloaded.

DimensionReasoningScore

Conciseness

The body is information-dense: nearly every line carries a verbatim grep pattern, a verification rule, an exclusion, or a code recommendation, with essentially no explanation of concepts Claude already knows. Minor trimming is possible — the Phase 3 table and Phase 4 compound list restate some Pattern 1–8 material, and the invocation examples are light padding — matching 'Efficient; minor instances of over-explanation that could be trimmed'.

4 / 5

Actionability

Fully executable throughout: copy-paste-ready regexes for every detection pattern, complete Swift snippets with availability gates and pre-26 fallbacks (e.g. the glassEffect/safeAreaBar examples), precise false-positive rules, and a full output-format template with output limits. This matches 'Fully executable; copy-paste ready code or commands; specific examples cover the common cases'.

5 / 5

Workflow Clarity

Five clearly sequenced phases (map → detect → completeness → compounds → score) with explicit validation checkpoints: 'use Read to verify the surrounding context before reporting' in every pattern, Step 6 file reads, 'Require evidence from the Phase 1 map — don't speculate without reading the code', plus a false-positive checklist and exclusion lists. This matches the top anchor's explicit validation and checklists.

5 / 5

Progressive Disclosure

The body is well-sectioned with clear headers, and external detail is properly pushed to one-level-deep references (e.g. 'axiom-swiftui (skills/toolbars.md)', 'axiom-design (skills/liquid-glass.md)') instead of being inlined. No bundle files exist (references/, scripts/, assets/ are absent) and some Pattern detail could itself live in a reference file, so it sits at 'Good structure; most content is appropriately placed; minor organization gaps' rather than the top anchor.

4 / 5

Total

18

/

20

Passed

Description

47%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description has strong, specific trigger terms for a well-defined niche (Liquid Glass / iOS 26 UI), but it is trigger-only: it never states what the skill does, so a reader cannot tell from the description whether it audits, migrates, or designs. Adding a concrete action statement (e.g., 'Audits a SwiftUI codebase for Liquid Glass adoption opportunities...') would fix the completeness and specificity gaps at once.

Suggestions

Add a leading 'what' clause stating the concrete capabilities, e.g. 'Audits SwiftUI/UIKit codebases for Liquid Glass adoption opportunities: identifies views to migrate from UIBlurEffect/.material, flags glass-on-glass nesting and Regular-vs-Clear variant misuse, and checks toolbar/search modernization. Use when...'.

Include the natural synonyms users would say as triggers — 'glass effect', '.glassEffect', 'migrate blur'/'UIBlurEffect', 'SwiftUI modernization' — alongside the existing 'Liquid Glass' and 'iOS 26' terms.

Tighten the two broadest triggers ('toolbar improvements', 'visual effect migration') by tying them to the Liquid Glass context, e.g. 'toolbar glass placement improvements', to reduce overlap with general SwiftUI skills.

DimensionReasoningScore

Specificity

The description names the domain ('Liquid Glass review, iOS 26 UI updates, toolbar improvements, or visual effect migration') but lists no concrete actions — nothing like 'identifies adoption opportunities', 'migrates blur effects', or 'audits toolbar placements'. This matches the anchor 'Names the domain but actions are minimal or generic', not score 3 which requires 1-2 concrete actions.

2 / 5

Completeness

The description is entirely a 'Use when the user mentions...' trigger clause; the 'what' — what the skill actually does — is completely absent. The anchor for score 2 explicitly covers 'only when is present without what'. It is not score 3 because the 'what' is not weakly implied anywhere, and not score 1 because the 'when' half is explicit and domain-specific.

2 / 5

Trigger Term Quality

'Liquid Glass review', 'iOS 26 UI updates', 'toolbar improvements', and 'visual effect migration' are natural phrases a user would say, giving good keyword coverage. Missing common variations users might use, such as 'glass effect', '.glassEffect', 'UIBlurEffect migration', or 'SwiftUI modernization', so it falls short of comprehensive.

4 / 5

Distinctiveness Conflict Risk

'Liquid Glass' and 'iOS 26' form a clear niche with minimal conflict risk, but the broader triggers 'toolbar improvements' and 'visual effect migration' could fire for general SwiftUI/UI work unrelated to glass adoption. This is 'mostly distinct; minor overlap risk with closely related skills' rather than a fully conflict-free niche.

4 / 5

Total

12

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

CharlesWiltgen/Axiom

Path

axiom-codex/skills/axiom-audit-liquid-glass/SKILL.md

Reviewed

Table of Contents

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