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Clinical-facility edition of iaiops — hospital / healthcare facilities as a distinct vertical from generic building management, with patient-safety framing. BACnet/IP BMS (isolation-room pressurization + medical-gas source monitoring), Modbus (medical-gas alarm panels / energy meters), OPC-UA (plant SCADA), plus the cross-protocol brain. Two signature safety checks: isolation_room_check (ASHRAE 170 / CDC negative/positive pressure) and medical_gas_check (NFPA 99 / HTM 02-01 O2 / medical air / vacuum source pressures). Use when the task mentions hospital, 医院, healthcare facility, clinical, 医疗设施, isolation room / 隔离病房 / 负压病房 / AII / PE, operating room / OR / 手术室, ICU, medical gas / 医用气体 / 医疗气体, oxygen / 氧气 / medical vacuum / 医用真空, or NFPA 99. Read-first; this edition's tool surface is read-only.

ClawHub Agent Skills author: wei zhou v0.27.0 MIT-0 2 files body ≈ 1 645 tokens Open the sourceclawhub.ai analyzed 22 h ago

Clinical-facility edition of iaiops — hospital / healthcare facilities as a distinct vertical from generic building management, with patient-safety framing.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 46/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 38 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1645 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 804: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 38 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

    External checks

    ClawHub: suspicious
    The skill is mostly a clinical facilities monitoring guide, but it advertises a real BACnet write function while also saying the edition is read-only.
    LLM: suspicious (high) · 3 Sept 2026