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DD apple-design-skill

(no description)

ClawHub Agent Skills author: chaos-xxl v1.0.0 MIT-0 25 files · 3 scripts body ≈ 1 502 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

[English](english) | [中文](中文) An open-source AI Skill that guides AI coding assistants to generate frontend UI code in Apple's iconic design style.

As a process D 36/100 · Unfinished process — References files that are not bundled: LICENSE

ProcedureSoftware developmentAI and agentsWriting and documentstype 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
D
56/100
safety, quality, tests
Safety 60%
94
Quality 40%
0
Run on models
none yet
Process rating
D
36/100
Unfinished process
References files that are not bundled: LICENSE
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
  2. The text references files that are not there: add them or drop the references.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token package-lock.json:71
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…cAz+ivBu…Lvw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:156
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…IxX/wd5n…MGF+pv6g…i2Z+Wnj9/KjGz…4Eg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:190
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…BQM/qZ3R+9TEU…es4+qu1b…BFA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:207
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha512-8mL/vh8q…uJP+ZcVY…AJW+m0Et…WzA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:224
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…NES+HiD4…TOe+/2rdn…PWn/r/aAw==",
    detector
  • low Risky intent intent-offensive-security skill-card.md:47
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    **Other Properties Related to Output:** [May suggest Google Fonts links, image search keywords, and CSS fallback styles; security evidence reports no hidden execution, persistence, data theft, or priv

Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning missing-ref reference to a missing file: LICENSE

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: LICENSE
  • 0Tools and files. 1 referenced file(s) missing: LICENSE
  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 10 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1502 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -221 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: clean
This is a disclosed design-guidance skill for Apple-style frontend generation, with no evidence of hidden execution, persistence, data theft, or privilege escalation.
LLM: benign (high) · VirusTotal: · 16 Sept 2026