SKILLEMALL.ai

BC apple-higDesign-skill

Apple 平台设计系统技能。覆盖 Apple Human Interface Guidelines (HIG),包括设计原则 (Hierarchy/Harmony/Consistency)、Typography(San Francisco/Dynamic Type)、 Color System(系统色/Liquid Glass)、SF Symbols(图标库/动画)、Components (Button/Navigation/Tab Bar/Alert/List/TextField/SearchBar/Toggle/DatePicker)、 Accessibility、Dark Mode、Animation、空间布局(visionOS)、Branding。 当用户提到 Apple 设计、iOS UI 规范、Apple HIG、iOS 设计语言、SF Symbols、 Dark Mode 设计、visionOS 空间 UI 时触发。

ClawHub Agent Skills author: yhongm v3.0.2 MIT-0 18 files body ≈ 3 893 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceMarketingDesignInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • 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: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "trigger"
  • note frontmatter-key unknown frontmatter key "hermes"

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 148 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3893 tokens
  • low 14 top-level sections: this looks like several domains in one skill

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
  • -250 emoji in the instructions: noise for the model
  • -415 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +3Description length 422: enough signal without eating the budget
  • +4Structure: 115 headings
  • +3Step-by-step instructions: 148 items
  • +4Has examples (10 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This is a read-only Apple design reference skill with minor routing and formatting rough edges, but no evidence of hidden execution or data access.
LLM: benign (high) · VirusTotal: · 29 May 2026