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BB ui-ux-pro-max

UI/UX design intelligence for web, mobile, and desktop. This skill should be used when designing, building, reviewing, or fixing interfaces, including pages, components, design systems, accessibility, interaction, responsive layout, typography, color, charts, and stack-specific UI implementation. Searchable local data: 79 searchable styles (50 active), 192 product palettes and reasoning profiles, 74 font pairings, 119 UX guidelines, 105 icons, 17 GSAP presets, 25 chart types, and 22 stacks.

nextlevelbuilder/ui-ux-pro-max-skill Agent Skills author: nextlevelbuilder MIT 70 files · 18 scripts body ≈ 3 846 tokens Open the sourcegithub.com↗ analyzed 6 d ago

UI/UX design intelligence for web, mobile, and desktop.

As a process B 69/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

ProcedureDesigntype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
94
Quality 40%
88
Run on models
none yet
Process rating
B
69/100
Nearly there
Progress reporting w 2
0
Inputs and preconditions w 11
30
When it triggers w 12
50
the three weakest of ten parameters · all ten

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 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.
    • low Exfiltration net-credential-use data/stacks/nuxtjs.csv:65
      Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
      64,Configuration,Separate app config from runtime config,Use app.config for public reactive build-time app values and runtimeConfig for environment or secrets,defineAppConfig for theme and runtimeConf
      detector

    Files scanned: 70. 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 69/100

    • 0Progress reporting. Says nothing while it works
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 22 steps, 3 vague phrases
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3846 tokens
    • 100Running it twice. Mutating operations check current state
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 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)
    • -34 of 5 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 495: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 22 items
    • +3Output format is stated explicitly
    • +4Has examples (9 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

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

    In the sandbox The scripts kept to themselves

    The skill's scripts were run in a throwaway machine: no network, fake keys in the home directory, a tracer watching. We wrote down what they did. Reaching for the network or for secrets caps the technical grade at C; a quiet run adds no points.

    Запущено 5 скриптов; каждому дали двадцать секунд, поддельный домашний каталог с ключами и сеть, в которой ничего нет.

    Из них 3 не дошли до работы, и об их поведении мы ничего не узнали.

    scripts/core.pyничего за пределами своей папки
    scripts/design_system.pyне запустился: design_system.py: error: the following arguments are required: query
    scripts/reasoning_contract.pyничего за пределами своей папки
    scripts/search.pyне запустился: search.py: error: the following arguments are required: query
    scripts/validate_data.pyне запустился: FileNotFoundError: [Errno 2] No such file or directory: '/work/data/google-fonts.csv'

    12 Oct 2026