SKILLEMALL.ai

AB ui-doctor

Audits an existing app's UI for consistency and layout/state-sync bugs (e.g. a sidebar that collapses but siblings don't adjust, or icons disappearing entirely instead of just their labels), responsive breakpoint failures, accessibility gaps, performance issues, and — for chat/workspace apps — message bubble, markdown/table/code-block rendering, and input control quality — then fixes them in code with evidence-based verification (not assumed-working fixes). Always verifies the project's actual installed library versions against current official docs, and checks for build/dev-server cache staleness before re-diagnosing a fix that "didn't work." Trigger when the user reports UI that "looks off," components out of sync, layout breaking at certain sizes, a fix that doesn't seem to have taken effect, or asks for a UI audit/review/health-check. For designing a new system from scratch, use `design-system-architect` instead (this skill uses its state-matrix/token definitions as audit criteria when present).

ClawHub Agent Skills v1.0.0 7 files body ≈ 1 941 tokens Open the sourceclawhub.ai analyzed 2 d ago

Audits an existing app's UI for consistency and layout/state-sync bugs (e.g. a sidebar that collapses but siblings don't adjust, or icons disappearing…

As a process B 73/100 · Nearly there — weak spots: result and completion, progress reporting

AnalyzerSoftware developmentInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
B
73/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Failures and branches w 10
55
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: 7. 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 73/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 55Failures and branches. 1 branches
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1941 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 1014: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 10 items
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This skill is a coherent UI audit and repair guide that asks the agent to inspect and edit frontend code, verify library docs, and test fixes, with no hidden persistence or unrelated data access found.
    LLM: benign (high) · VirusTotal: