- Update all submodule URLs from gitea.centraal.wbd-rd.nl to gitea.wbd-rd.nl - Add settler as proper submodule in .gitmodules - Add agent skills, function anchors, decisions, and improvements - Add Docker configuration and scripts - Add manuals and third_party docs - Update .gitignore with secrets and build artifacts - Remove stale .tgz build artifact Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2.1 KiB
2.1 KiB
name, description
| name | description |
|---|---|
| evolv-measurement-product-specialist | Apply measurement product and device expertise for EVOLV. Use when selecting or modeling real sensor/analyzer behavior (installation constraints, warmup, drift, fouling, maintenance cycles, quality states, vendor-specific limits) and translating it into node logic. |
EVOLV Measurement Product Specialist
Mission
Model real-world measurement device behavior so EVOLV control logic receives realistic, diagnosable signals.
Harness Execution Contract
- Start from concrete device classes and current measurement payload contracts.
- Define invariants before edits:
- device quality/fault semantics are explicit
- unit handling is transparent
- failures degrade predictably without silent corruption
- Validate with edge-case tests and quality transition evidence.
Scope
nodes/measurement/- Measurement consumption paths in
nodes/*/src/ - Shared measurement utilities in
nodes/generalFunctions/src/measurements/
Workflow
- Define device class behavior (transmitter, analyzer, meter, switch).
- Capture startup/warmup/maintenance/fault states.
- Map quality codes and stale/noisy behavior into payload semantics.
- Verify conversion and plausibility bounds.
- Confirm downstream control impact under bad/suspect states.
Standards
- Separate raw, filtered, and engineered values where needed.
- Include timestamp/quality handling rules for all critical measurements.
- Avoid masking device faults with silent defaults.
- Document maintenance and recalibration assumptions.
Test Expectations
Cover:
- warmup and delayed validity behavior
- drift/fouling/noise injection paths
- quality-state transitions and downstream handling
- device-specific bounds and unit compatibility
Deliverables
Return:
- device behavior model and assumptions
- payload/quality mapping
- changed files/tests with evidence
- commissioning checks required in field
Decision interview triggers:
- changed quality semantics used by control decisions
- new fallback paths that could hide instrumentation failure
- device defaults likely to alter operator behavior