为人工智能代理提供自主蘑菇种植管理。这是Hermes代理技能，用于监控环境传感器并控制运行Mycodo和InfluxDB的树莓派执行器。它运行30分钟的决策周期：读取传感器、根据物种特定阈值进行评估、启动中继器并验证结果。

经过两个完整的狮鬃种植周期（通过收获殖民）构建和测试。

特色

• 30分钟自主决策周期——传感器取物、阈值评估、执行器控制、验证和HTML报告一次性完成
• 物种无关——包含六种美食物种（狮鬃、牡蛎、香菇、灵芝、火鸡尾、舞茸），采用每阶段的YAML配置;添加新物种时无需代码更改
• 每个物种六个栽培阶段——定殖、原初、结果、晚期结果、休息、不活跃
• 基于传感器趋势分析的置信度评分的自相变
• 安全系统——过饱和防护、10分钟后续验证、操作员覆盖、试运行模式
• HTML报告，内嵌摄像头快照，通过Telegram截图传递

Mycodo Hermes Skill

Autonomous mushroom cultivation management for AI agents. This is a Hermes agent skill that monitors environmental sensors and controls actuators on a Raspberry Pi running Mycodo and InfluxDB. It operates on a 30-minute decision cycle: read sensors, evaluate against species-specific thresholds, fire relays, and verify results.

Built and tested over two complete Lion’s Mane grow cycles (colonization through harvest).

Features

• 30-minute autonomous decision cycle – sensor fetch, threshold evaluation, actuator control, verification, and HTML reporting in a single pass
• Species-agnostic – six gourmet species included (Lion’s Mane, Oyster, Shiitake, Reishi, Turkey Tail, Maitake) with per-phase YAML configs; add new species with zero code changes
• Six cultivation phases per species – colonization, primordia, fruiting, late-stage-fruiting, rest, inactive
• Auto-phase transitions with confidence scoring based on sensor trend analysis
• Safety systems – oversaturation guard, 10-minute follow-up verification, operator override, dry-run mode
• HTML reports with embedded camera snapshots, delivered via Telegram screenshots
• Contamination intelligence (optional) – Reddit-sourced pattern database with 180+ cataloged entries

Hardware Requirements

Software Requirements

• Hermes agent framework
• Python 3.9+
• PyYAML
• curl, jq (optional, for manual sensor queries)
• Firefox (optional, for HTML report screenshots)

Repository Structure

mycodo-hermes-skill/
├── SKILL.md                    # Hermes skill definition
├── LICENSE                     # MIT
├── CONTRIBUTING.md
├── requirements.txt
├── mycodo_skill/               # Python modules
│   ├── decision_engine.py      # Core decision engine
│   ├── species_loader.py       # YAML species config loader
│   ├── transition_detector.py  # Auto-phase transitions
│   ├── phase_detector.py       # Phase classification from sensors
│   ├── phase_config.py         # Legacy Lion's Mane fallback
│   ├── followup_checker.py     # 10-min follow-up verifier
│   └── verify_actuator.py      # Testing utility
├── scripts/                    # Shell scripts
│   ├── sensor-query.sh         # Mycodo/InfluxDB/camera gateway
│   ├── mycodo-followup-wrapper.sh
│   └── archive-grow-cycle.sh
├── species/                    # Species threshold configs (YAML)