diagnose-dtc

Evidence-driven diagnostic reasoning for automotive trouble codes (DTCs) using EVAIR MCP tools.

Opciones de instalación

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npx skills add https://github.com/jordelmir/MEET-Mecanicos-Especialistas-En-Todo --skill diagnose-dtc

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SKILL.md

Instrucciones de origen · Vista previa de solo lectura

Extracts and correlates statistical signal features (mean, stdDev, slope, p05, p95) across multi-sensor streams.

Diagnostic skill for battery condition, alternator output, and electrical voltage regulation.

Holistic vehicle health evaluation correlating engine, fuel, cooling, electrical, and emissions subsystems.

name	diagnose-dtc
description	Evidence-driven diagnostic reasoning for automotive trouble codes (DTCs) using EVAIR MCP tools.

When diagnosing an automotive Trouble Code (DTC):

Identify Vehicle: Call vehicle_get_identity() to get VIN, make, model, year, and engine specifications.
Retrieve Context: Call obd_read_dtcs() to get confirmed and pending codes.
Retrieve Freeze Frame: Call obd_read_freeze_frame() to inspect engine speed, load, coolant temp, and fuel trims captured when the DTC triggered.
Inspect Live Features: Call telemetry_get_features(pid=..., seconds=15) for key PIDs (RPM, Coolant, STFT, LTFT, MAP, Voltage) to avoid raw token flooding.
Compare Vehicle Baseline: Call diagnostics_compare_baseline(pid=...) to determine if observed parameters deviate from THIS SPECIFIC VEHICLE's historical baseline.
Formulate Hypotheses: Build ranked hypotheses differentiating FACTS from INFERENCES.
Discriminating Tests: Propose the next lowest-risk, highest-information-gain test (e.g. coil swap, smoke test) without requesting destructive or moving-actuator commands.
Safety Mandate: NEVER clear DTCs without explicit user confirmation. All safety-critical actuator operations are denied by policy.