SKILLEMALL.ai

AB animate

Implement purposeful interface animations: easing, springs, interruption, exits, and reduced motion. Use on existing components or an accepted UI brief; this is not a video template.

The skillemall take

The skill promises ready-made interface animations: easing, springs, interruption, exits, and reduced motion support. You take existing components or a UI brief and apply it.

Four files, no critical errors, quality_score 89. The skill hasn't run on models (model_run is empty) and never hit sandbox. Safety score is 100—nothing malicious in the code. Lint passes. Process score 67 means documentation or structure has gaps, but they don't block usage.

Install it. Animations work without model testing if the logic holds. No findings at grade A means the files are solid. Just verify it fits your stack and brief first—the skill is generic, so integration details aren't always obvious.

nexu-io/open-design Agent Skills author: nexu-io Apache-2.0 4 files body ≈ 2 912 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Implement purposeful interface animations: easing, springs, interruption, exits, and reduced motion.

As a process B 67/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, progress reporting

TemplateMedia and videoSoftware developmentWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
67/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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: 4. 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 "zh_description"
    • note frontmatter-key unknown frontmatter key "triggers"
    • note frontmatter-key unknown frontmatter key "od"

    Process rating: all ten parameters 67/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 26 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2912 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

    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)
    • +2Single-language instructions
    • +3Description length 182: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 26 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.