SKILLEMALL.ai

AC interactive-widget

Create shareable interactive web pages — dashboards, charts, forms, simulations — via the duoduo-widget CLI. Each widget gets a permanent URL that works in any browser. Use when: the response needs a visual, interactive, or non-linear UI that goes beyond chat text (data dashboards, confirmation forms, parameter pickers, live visualizations, sortable tables, Canvas animations); structured user input is needed (approve/reject, multi-field forms, parameter confirmation); the artifact should be shareable via URL and persist beyond the conversation. Trigger on: "build a page", "create a form", "make a dashboard", "interactive view", "confirm parameters", "shareable link", "widget", "visualize this as a page", "let the user pick". Do NOT use for plain text answers, code snippets, or ephemeral local-only visuals.

ClawHub Agent Skills author: kuaner v0.1.2 MIT-0 3 files body ≈ 1 545 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
58/100
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 · 0

    ✓ No critical or high findings

    Files scanned: 3. 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 58/100

    • 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. 16 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 15 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1545 tokens

    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

    • +3Description length 817: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 9 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 15 items
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: suspicious
    The skill is purpose-built for hosted widgets, but it needs review because it can publish permanent browser pages while giving unsafe raw-HTML guidance.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026