SKILLEMALL.ai
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Use this template when the user wants an artistic creative-studio website with classical imagery, cobalt skies, elegant serif typography and cinematic scrolling.

The skillemall take

A template for an artistic studio website: cobalt skies, serif fonts, cinematic scrolling. Promises ready-made markup with elegant aesthetics.

Six components, no scripts, 668 tokens of markup. No critical errors, linter clean, 100 safety score. Quality at 82, but process score is 52—suggests rough edges in execution. No broken links or missing files. Not tested on models.

Install if you need a baseline template. Runs on all platforms including Cursor and Claude. Keep in mind it's a starting point, not a full framework—customization is on you.

nexu-io/open-design Agent Skills author: nexu-io Apache-2.0 6 files body ≈ 668 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Use this template when the user wants an artistic creative-studio website with classical imagery, cobalt skies, elegant serif typography and cinematic…

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

TemplateDesigntype 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
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 0

    ✓ No critical or high findings

    Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "en_name"
    • note frontmatter-key unknown frontmatter key "zh_name"
    • note frontmatter-key unknown frontmatter key "triggers"
    • note frontmatter-key unknown frontmatter key "od"

    Process rating: all ten parameters 52/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 668 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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 161: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 18 items
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.