SKILLEMALL.ai
GitHub ↗ RU Sign in

AF custom-ui-spec

A highly customizable UI design specification system based on headless component libraries (shadcn/ui, Radix UI), integrating Apple HIG, Microsoft Fluent, and Google Material Design. Unlike using off-the-shelf frameworks (Ant Design, Element Plus), this skill is for scenarios requiring full control over component styles and DOM structure, emphasizing design freedom and brand customization. Use when: generating custom UI code, reviewing custom UI designs, or needing to follow platform-specific design guidelines. Supports HIG / Fluent / Material / All specification modes. Keywords: shadcn/ui, Radix UI, headless, custom components, HIG, Fluent, Material Design.

ClawHub Agent Skills author: fize v0.1.0 MIT-0 14 files body ≈ 1 564 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

A highly customizable UI design specification system based on headless component libraries (shadcn/ui, Radix UI), integrating Apple HIG, Microsoft Fluent, and…

As a process F 33/100 · Will not run — References files that are not bundled: references/<spec>.md

IntegrationDesignSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/<spec>.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/<spec>.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/<spec>.md
  • 0Tools and files. 1 referenced file(s) missing: references/<spec>.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1564 tokens
  • medium 2 test cases, all positive: not one "should refuse" or "should ask first"

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 666: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

External checks

ClawHub: clean
This skill is a UI design guidance and validation aid, with no evidence of hidden data access, persistence, or unsafe behavior.
LLM: benign (high) · VirusTotal: · 3 Sept 2026