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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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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.
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.
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 | run-quality-gates |
| description | 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. |
| argument-hint | Optional dry-run flag or reason for running the quality gate. |
| user-invocable | true |
python .agents/harness/orchestrator.py quality.ml-pipeline/, also run python .agents/harness/orchestrator.py ml-pipeline-lint, ml-pipeline-typecheck, ml-pipeline-test, and ml-pipeline-smoke.