SKILLEMALL.ai
GitHub ↗ RU Sign in

BC velar-luxury-real-estate

Use this plugin when the user wants a high-end luxury real-estate / architecture landing page with cinematic scroll choreography: a typewriter preloader that lifts away, a scroll-driven house image that rises from below and scales up while pinning to a dark statement section, a sticky dark stats band with count-up numbers, and a hover-expand video gallery that slides up over the dark section. Invoke for 'luxury real estate landing page', 'architecture brand site', 'scroll-driven hero with rising building', or when the user references the Velar template.

nexu-io/open-design Agent Skills author: nexu-io Apache-2.0 3 files body ≈ 2 454 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Use this plugin when the user wants a high-end luxury real-estate / architecture landing page with cinematic scroll choreography: a typewriter preloader that…

As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorMarketingtype 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
90/100
safety, quality, tests
Safety 60%
97
Quality 40%
79
Run on models
none yet
Process rating
C
62/100
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

    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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token example.html:204
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      <img id="houseImg" src="data:image/webp;base64,UklG…AAB/yckSPD/eGtE…tRV+We9D…A5c/VbFk…FpT+yN//9FTuv/m90o…JV0
      fixturequoted
    • low Secrets in code secret-high-entropy-token example.html:240
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      const BG_IMG = 'https://images.higgs.ai/?default=1&output=webp&url=…
      fixturequoted
    • low Secrets in code secret-high-entropy-token open-design.json:88
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "en": "Build a single-page React + TypeScript + Tailwind CSS + Vite landing page for a luxury real estate brand named \"Velar.\". Use only `lucide-react` for icons. The app is in `src/App.tsx`. Use th
      quoted

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "od"

    Process rating: all ten parameters 62/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 24 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2454 tokens
    • 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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 559: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 24 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.