菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| 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.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.