SKILLEMALL.ai

AC clinic-digital-health

Digital health technology for UAE clinics — EMR, telemedicine, AI tools, patient apps, and health data interoperability. Trigger on: "clinic EMR", "electronic medical records UAE", "Malaffi integration", "Nabidh integration", "telemedicine UAE", "virtual clinic", "online consultation UAE", "clinic app", "patient portal", "clinic technology", "health IT UAE", "clinic software", "clinic AI", "appointment booking system", "clinic automation", "digital clinic", "FHIR UAE", "health data sharing UAE", "clinic CRM", "Doctoranytime UAE".

ClawHub Agent Skills author: dralmazrouei v1.0.0 MIT-0 2 files body ≈ 1 652 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 60/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency

IntegrationInfrastructureSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
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: 2. 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 60/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (clinic-digital-health) differs from the folder (uae-clinic-digital-health)
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 30 steps
    • 100Execution cost. Instruction body is 1652 tokens
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 20 example trigger phrases
    • +3Description length 535: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 30 items
    • +3Output format is stated explicitly
    • +4Has examples (6 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This is a text-only UAE clinic technology guide with no hidden code, credential access, or patient-data collection.
    LLM: benign (high) · VirusTotal: · 29 May 2026