SKILLEMALL.ai

AB global-health-public-health-data

Global Health & Public Health Data: Query life expectancy, mortality rates, immunization coverage, health expenditure, infectious disease. Use when an agent needs global health & public health data, healthcare demographics data, research life expectancy by country, compare infant and child mortality rates across regions, track immunization coverage trends, analyze health expenditure as percentage of gdp, query health data, country or region through AgentPMT-hosted remote tool calls.

ClawHub Agent Skills author: AgentPMT v1.0.0 MIT-0 3 files body ≈ 3 944 tokens Open the sourceclawhub.ai analyzed 2 d ago

Global Health & Public Health Data: Query life expectancy, mortality rates, immunization coverage, health expenditure, infectious disease.

As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

AnalyzerAI and agentstype 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
68/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 68/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 94 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3944 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 top-level sections: this looks like several domains in one skill

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 487: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 94 items
    • +3Output format is stated explicitly
    • +4Has examples (12 code blocks)

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

    External checks

    ClawHub: clean
    This is a disclosed public-health data lookup skill that uses an AgentPMT remote tool and does not include local executable code or hidden persistence.
    LLM: benign (high) · VirusTotal: · 24 Jun 2026