SKILLEMALL.ai

AC iaiops-plcnext

PLCnext / virtualized-PLC edition of iaiops — Phoenix Contact PLCnext Control and vPLC (虚拟化 PLC) reached over its built-in OPC-UA server (opc.tcp 4840) and Modbus-TCP process-data server, plus the cross-protocol brain (dataflow diagnosis, downtime root cause, PdM, OEE, alarm, baseline). A packaging edition — no new connector, no PLCnext-vendor SDK: it routes to the standard OPC-UA and Modbus tools already shipped. Use when the task mentions PLCnext / PLCnext Control / AXC F / vPLC / virtual PLC / 虚拟 PLC / Phoenix Contact controller over OPC-UA or Modbus. Read-first; this edition's tool surface is read-only.

ClawHub Agent Skills author: wei zhou v0.27.0 MIT-0 2 files body ≈ 1 307 tokens Open the sourceclawhub.ai analyzed 26 h ago

PLCnext / virtualized-PLC edition of iaiops — Phoenix Contact PLCnext Control and vPLC (虚拟化 PLC) reached over its built-in OPC-UA server (opc.tcp 4840) and…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSecurityAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
53/100
Has gaps
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 53/100

    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 28 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1307 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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 614: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 28 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: suspicious
    The skill is mostly coherent for PLCnext read/diagnostic work, but its claimed read-only scope conflicts with listed export, publish, and historian-push capabilities for operational data.
    LLM: suspicious (medium) · VirusTotal: · 3 Sept 2026