workflow-deploy

workflow-deploy is a Publishing & deployment skill for AI agents, published by ForestHubAI in the edge-agents repository on GitHub. Skillspace rates workflow-deploy C (72/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Flagged for review. Read the source before running it.

Turn a finished Edge Agents *.workflow.json into a runnable, standalone deployment bundle — the docker-compose package (engine + config + any llama-server components + any operator-authored custom components) an operator builds and runs on an edge/IoT controller. Drives the fh-workflow CLI's headless deploy, reading the workflow to learn which hardware pins, MQTT brokers, models, and keys it needs, asking the operator to fill or confirm each value, and writing the bundle while keeping secrets as placeholders so nothing sensitive ever lands in the chat. Use this whenever the user wants to deploy, bundle, package, or ship a workflow to a device or controller — e.g. "deploy this flow to my Raspberry Pi", "make a deployment bundle for the edge", "bundle workflow.json so I can run it on the controller", "ship my agent to the device", "put this workflow on the controller" — even when they don't say the word "bundle", and as the natural next step after generating a workflow. Not for building…

Grade

C

Quality

72 / 100

Safety

Needs review

GitHub stars

90

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