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⚙ Needs: a Raspberry Pi running Mycodo with InfluxDB 2.x, an…

Mycodo Autonomous Mushroom Control

Let your Muse run the grow tent: sensors, fans and humidifiers on autopilot

At a glance
What
Let your Muse run the grow tent: sensors, fans and humidifiers on autopilot
Cost
Free
Needs
a Raspberry Pi running Mycodo with InfluxDB 2.x, an SHT45 sensor (temperature/humidity) and an SCD41 sensor (CO2), a relay-controlled fan and a relay-controlled humidifier, Python 3.9+ with PyYAML, and the Hermes agent framework with cron scheduling. You must create the credential file ~/.mycodo/sensor-creds.env yourself (Mycodo API key, InfluxDB token, Pi host address) — never paste credentials into chat, store them in the secure vault and write the file locally yourself.
Install
Copy the installer prompt below into your Muse — your agent does the rest.

Version:

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Created by: @setasoma
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Install

Prerequisites: a Raspberry Pi running Mycodo with InfluxDB 2.x, an SHT45 sensor (temperature/humidity) and an SCD41 sensor (CO2), a relay-controlled fan and a relay-controlled humidifier, Python 3.9+ with PyYAML, and the Hermes agent framework with cron scheduling. You must create the credential file ~/.mycodo/sensor-creds.env yourself (Mycodo API key, InfluxDB token, Pi host address) — never paste credentials into chat, store them in the secure vault and write the file locally yourself. Install "Mycodo Autonomous Mushroom Control" for me. An autonomous environmental control skill for a mushroom grow tent: phase-aware decision engine that reads Mycodo sensors, evaluates species-specific thresholds, fires fan and humidifier relays, verifies actuator effects, and produces HTML status reports with camera snapshots. Repository: https://github.com/setasoma/mycodo-hermes-skill 1. Fetch the SKILL.md file for the mycodo-autonomous-control skill (and its helper files and species YAML configs) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "mycodo-autonomous-control". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. wire the sensors and relays on my Pi, create ~/.mycodo/sensor-creds.env, run a dry-run before enabling --execute in cron). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me. Safety note: always run the decision engine WITHOUT --execute first (dry-run) and confirm the report shows sensible relay decisions before scheduling autonomous --execute runs in cron.

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Questions

How do I install a build?

Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.

Where does my money go?

Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.

What does the ✓ next to a creator’s name mean?

It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.