SKILLEMALL.ai
RU Sign in

BA ui-ux-pro-max

UI/UX design intelligence and implementation guidance for building polished interfaces. Use when the user asks for UI design, UX flows, information architecture, visual style direction, design systems/tokens, component specs, copy/microcopy, accessibility, or to generate/critique/refine frontend UI (HTML/CSS/JS, React, Next.js, Vue, Svelte, Tailwind). Includes workflows for (1) generating new UI layouts and styling, (2) improving existing UI/UX, (3) producing design-system tokens and component guidelines, and (4) turning UX recommendations into concrete code changes.

ClawHub Agent Skills v0.1.0 56 files body ≈ 503 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process A 80/100 · Runs to the end — weak spots: inputs and preconditions, progress reporting

GeneratorDesigntype 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
B
79/100
safety, quality, tests
Safety 60%
90
Quality 40%
88
Run on models
53
No improvement model run: 63% with skill · 77% without
Process rating
A
80/100
Runs to the end
Inputs and preconditions w 11
0
Progress reporting w 2
0
Failures and branches w 10
65
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: ui-ux-pro-max (ClawHub)

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • medium Exfiltration net-credential-use assets/data/stacks/nuxtjs.csv:53
      Credential used in a network call (verify the destination is the intended service)
      52,Environment,Use runtimeConfig for env vars,Access environment variables safely,runtimeConfig in nuxt.config,process.env directly,"runtimeConfig: { apiSecret: '', public: { apiBase: '' } }",process.
    • medium Exfiltration net-credential-use data/stacks/nuxtjs.csv:53
      Credential used in a network call (verify the destination is the intended service)
      52,Environment,Use runtimeConfig for env vars,Access environment variables safely,runtimeConfig in nuxt.config,process.env directly,"runtimeConfig: { apiSecret: '', public: { apiBase: '' } }",process.

    Files scanned: 56. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 80/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 13 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 503 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)
    • -33 of 4 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 573: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 13 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    Model run · 9 Sept 2026

    With the skill
    63%
    -13 pp vs baseline
    Without the skill (baseline)
    77%
    triggers: +100% / −100%

    No improvement Pass rate 63% is below threshold 80% · 7 cases · $0.087

    External checks

    ClawHub: clean
    This skill provides UI/UX guidance and an optional local design-system file generator, with no evidence of exfiltration, hidden persistence, or malicious behavior.
    LLM: benign (high) · VirusTotal: benign