mock-camera-node

Estrellas0

Forks0

Actualizado2 de mayo de 2026 a las 15:45

Publish synthetic Wildlife Watcher detection payloads to the configured MQTT broker. Use for kiosk smoke tests, UI validation, MQTT topic checks, and display-node debugging without hardware.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Ejecutar en Manus

Fuente

ianshank

ianshank/Wildlife_Watcher

Abrir repositorio de GitHub Ver repositorios del creador

Descarga

Ejecutar en Manus

Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Desarrolladores de softwareOcupaciones informáticas y matemáticas·SOC 15-1252

SKILL.md

readonly

name	mock-camera-node
description	Publish synthetic Wildlife Watcher detection payloads to the configured MQTT broker. Use for kiosk smoke tests, UI validation, MQTT topic checks, and display-node debugging without hardware.
argument-hint	Provide node ID, class name, count, or dry-run options if needed.
user-invocable	true

Mock Camera Node

When To Use

Validate the kiosk feed without a real XIAO or Grove Vision AI V2.
Confirm MQTT topic routing and detection payload parsing.
Reproduce display-node issues using controlled synthetic events.

Procedure

Confirm the target WILDLIFE_CONFIG or .agents/harness.toml points to the correct broker.
Run python .agents/harness/orchestrator.py mock-publish-detection --dry-run to inspect the payload.
Remove --dry-run to publish one or more events.
Validate with pi-display-node/tests/ or a live kiosk session.

Más de este repositorio

mismo repositorio

run-quality-gates

ianshank/Wildlife_Watcher

Run Wildlife Watcher ruff, mypy, pytest, coverage, and ML pipeline checks through the repo harness. Use for lint, typecheck, regression, quality gate, and pre-merge validation tasks.

2026-05-020

agents-md-coverage

ianshank/Wildlife_Watcher

Verify that every required Wildlife Watcher directory has an AGENTS.md file. Use for agent customization maintenance, repo hygiene, and hierarchy validation.

2026-05-020

firmware-build-and-size

ianshank/Wildlife_Watcher

Build the Wildlife Watcher camera-node firmware with PlatformIO and inspect the resulting compile output. Use for firmware compile checks, dependency issues, and binary-size review.

2026-05-020

phase-worktree-bootstrap

ianshank/Wildlife_Watcher

Bootstrap a dedicated Wildlife Watcher roadmap worktree for Phase 2 PIR/power or Phase 3 ML work. Use for worktree setup, branch isolation, and phase-scoped experimentation.

2026-05-020

name	mock-camera-node
description	Publish synthetic Wildlife Watcher detection payloads to the configured MQTT broker. Use for kiosk smoke tests, UI validation, MQTT topic checks, and display-node debugging without hardware.
argument-hint	Provide node ID, class name, count, or dry-run options if needed.
user-invocable	true

Mock Camera Node

When To Use

Validate the kiosk feed without a real XIAO or Grove Vision AI V2.
Confirm MQTT topic routing and detection payload parsing.
Reproduce display-node issues using controlled synthetic events.

Procedure

Confirm the target WILDLIFE_CONFIG or .agents/harness.toml points to the correct broker.
Run python .agents/harness/orchestrator.py mock-publish-detection --dry-run to inspect the payload.
Remove --dry-run to publish one or more events.
Validate with pi-display-node/tests/ or a live kiosk session.