القائمة
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.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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.
Verify that every required Wildlife Watcher directory has an AGENTS.md file. Use for agent customization maintenance, repo hygiene, and hierarchy validation.
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.
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.
| 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 |
WILDLIFE_CONFIG or .agents/harness.toml points to the correct broker.python .agents/harness/orchestrator.py mock-publish-detection --dry-run to inspect the payload.--dry-run to publish one or more events.pi-display-node/tests/ or a live kiosk session.