AD iaiops-warehouse
Warehouse / intralogistics edition of iaiops — distribution centers, fulfillment, material handling: conveyors, sorters, palletizers, AS/RS, and AGV/AMR fleets. EtherNet/IP (Allen-Bradley / Rockwell conveyor & sorter PLCs), Profinet (Siemens material-handling lines), Modbus (VFDs / energy meters, with conveyor_vfd & agv_battery templates), OPC-UA (WMS/WCS gateways), and MQTT-Sparkplug (AMR / IoT telemetry) — plus the cross-protocol brain: predictive maintenance (pdm_forecast for conveyor-drive bearing/thermal trend), downtime triage, OEE/throughput, and alarm analysis. Use when the task mentions warehouse, 仓储, 物流, intralogistics, distribution center / DC, fulfillment, conveyor / 输送线, sorter / 分拣, palletizer, AS/RS / 立体库, AGV / AMR / 移动机器人, WMS / WCS, or material handling. Read-first; this edition's tool surface is read-only.
Warehouse / intralogistics edition of iaiops — distribution centers, fulfillment, material handling: conveyors, sorters, palletizers, AS/RS, and AGV/AMR fleets.
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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. 44 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1946 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 836: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 11 headings
- +3Step-by-step instructions: 44 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.