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Omh Physical Device Readiness

CommunityPopular
rlaope
omh-physical-device-readiness

[omh] Agent control of a robot, 3D printer, or IoT relay: gate robots, 3D printers, IoT relays, sensors, and lab hardware before trials; use external-connector-readiness for provider or connector adoption and toolbelt-readiness for missing control tools. Use when the user says: physical-device-readiness, physical device readiness, device safety readiness, physical device safety, hardware safety gate, 3d printer readiness, 3D printer safety, snapmaker printer safety.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-physical-device-readiness
Stars
3.6K
Forks
269
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by rlaope on GitHub. Read the source before you install it.

Installation

Install the Omh Physical Device Readiness AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-physical-device-readiness
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git /tmp/oh-my-hermes
mkdir -p .claude/skills
cp -r /tmp/oh-my-hermes/agent-skills/omh-physical-device-readiness .claude/skills/omh-physical-device-readiness
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Physical Device Readiness in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Omh Physical Device Readiness on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Omh Physical Device Readiness is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Physical Device Readiness

This is an OMH physical-device-readiness workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

Why This Exists

physical-device-readiness exists because a robot, heater, or relay acts on the physical world, where a wrong command can hurt someone or damage property: it fixes the safety envelope, sensor and camera gates, dry runs, operator approval, and emergency stop before any trial, and turns the commands the agent must never run into a proposed deny list the user applies.

Do Not Use When

  • The device is reached through a provider or connector the user has not adopted yet; use omh-external-connector-readiness.
  • The tool that would control the device is missing; use omh-toolbelt-readiness.
  • The user asks to run the command, move the hardware, or start the print now; use omh-terminal or omh-apps, which need observed operator approval before any execution claim.

Examples

Good example:

  • Prompt: physical-device-readiness check Snapmaker printer safety with camera gate, slicer dry-run, heat command approval, and emergency-stop evidence before printing.
  • Expected behavior: Produce prepare_physical_device_readiness with required context, wrapper actions, and not-evidence boundaries.
  • Why: The prompt names a real workflow surface that Hermes can orchestrate without hiding execution.

Bad example:

  • Prompt: physical-device-readiness start the printer, heat the bed, flip relays, and claim the robot is safe without observed operator approval or device telemetry.
  • Expected behavior: Report the missing observed evidence or authority instead of claiming the external step happened.
  • Why: Prepared OMH guidance is not platform, runtime, connector, file, memory, or delivery evidence.

Completion Checklist

  • Device scope, actuator and hazard classes, sensor/camera gates, operator approval, dry-run policy, emergency stop, and stop condition are explicit.
  • Physical actions, heat commands, relay toggles, robot movement, print starts, camera inspections, and telemetry readings are marked observed, missing, risky, or not_observed.
  • Route external APIs or provider setup to external-connector-readiness, terminal commands to command-operator, safety concerns to security-safety-review, visual/camera checks to visual-qa, and missing tools to toolbelt-readiness.
  • Do not claim device movement, heat, print, relay, robot, camera, sensor, or emergency-stop success without observed device-trial evidence.

Recovery Notes

  • If the device, workspace, actuator, or authority is unclear, keep readiness blocked until the missing safety context is named.
  • If the user asks to execute commands, move hardware, heat a bed/nozzle, flip a relay, or start a print, route to command-operator or connector-operator and require observed operator approval before any execution claim.
  • If camera or telemetry evidence is required but unavailable, route to visual-qa or toolbelt-readiness and keep the physical device readiness card prepared_not_observed.

When to Use

Use before preparing or adopting a workflow that could move, heat, print, actuate, unlock, or otherwise affect physical devices so safety envelope, sensor/camera gates, dry-run policy, operator approval, emergency stop, and observation requirements are explicit.

Strong routing signals: `physical-device-readiness`, `physical device readiness`, `device safety readiness`, `physical device safety`, `hardware safety gate`, `3d printer readiness`, `3D printer safety`, `snapmaker printer safety`, `snapmaker readiness`, `moonraker klipper safety`, `camera-gated print start`, `camera gate`, `heat command approval`, `iot relay safety`, `sensor relay safety`, `robotics safety`, `robot control readiness`, `vla robot readiness`, `mushroom cultivation relay safety`, `raspberry pi relay safety`, `물리 장비 안전`, `하드웨어 안전`, `3d 프린터 안전`, `프린터 안전`, `로봇 제어 준비`, `iot 릴레이 안전`, `센서 릴레이 안전`

Catalog Metadata

Category: operations Phase: device-readiness Quality tier: workflow-surface-gated Reasoning demand: light

Quality bar:

  • Name the user-facing workflow objective, required context, next action, and stop condition.
  • Separate prepared guidance from observed platform, runtime, connector, file, memory, or delivery evidence.
  • Expose missing tools, credentials, targets, or observations as user-visible gaps.

Required inputs:

  • user request
  • target context
  • delivery or status expectation
  • known missing evidence

Expected outputs:

  • physical_device_readiness_card/v1
  • device_safety_envelope/v1
  • hazard_and_actuator_inventory/v1
  • sensor_camera_gate_policy/v1
  • operator_approval_policy/v1
  • dry_run_and_simulation_policy/v1
  • emergency_stop_and_rollback_plan/v1
  • device_trial_manifest/v1 when observed
  • next action
  • prepared-vs-observed boundary

Artifact expectations:

  • physical_device_readiness_card/v1 metadata-only wrapper card when prepared
  • device_safety_envelope/v1 with device, workspace, hazards, actuator classes, human/property risk, owner, authority, and stop condition
  • hazard_and_actuator_inventory/v1 separating motion, heat, pressure, electrical, relay, network, credential, and environmental risks
  • sensor_camera_gate_policy/v1 for camera/OCR, sensor telemetry, stale readings, manual inspection, and blocked/no-camera fallback
  • operator_approval_policy/v1 with explicit human authority, confirmation moment, disallowed autonomous actions, and emergency contact or stop owner, plus a proposed approvals.deny glob list for the terminal commands that actuate the device: on Hermes a match blocks the command for the agent even under yolo; the user applies the list, OMH writes no host config, and a device driven through an MCP or HTTP tool rather than a terminal command stays outside it
  • dry_run_and_simulation_policy/v1 for slicer/G-code dry-runs, command previews, mock relays, simulated robot paths, and no-hardware trial mode
  • emergency_stop_and_rollback_plan/v1 with stop command, power/network isolation, recovery boundary, and abort condition
  • device_trial_manifest/v1 only when real telemetry, camera capture id, dry-run output, command transcript, operator confirmation, or hardware observation is recorded

Safety rules:

  • A physical device readiness card is not device discovery, network pairing, credential validation, slicer output, G-code safety, camera inspection, sensor reading, relay actuation, robot movement, heat command, print start, emergency stop test, or successful hardware trial evidence unless observed device-trial evidence records it.
  • Do not claim connector, gateway, runtime, file generation, memory mutation, or host automation evidence from prepared guidance.

Runtime Evidence

Use the current host's own tools and subagent/task mechanism when available; otherwise run the same lanes sequentially or name the unavailable capability. A prepared plan, handoff, checklist, or skill installation is not execution, review, CI, merge-readiness, or merge evidence. Record actual tool results, or not_observed / not_available, in the record; never invent dispatch or host accounting. Treat supplied context as advisory, not proof of hidden memory reads or writes. State scope, constraints, verification, and the stop condition before work. Reply in the user's own words and the host's own voice: the host's persona owns reply language, tone, speech level, and sentence endings, progress updates included (where it sets no language, use the one the user wrote in), and OMH shapes structure and content only; OMH's record terms (surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in records and tool calls, never in the sentence the user reads unless they ask about one; and when a real unresolved user decision or a useful briefing discussion remains, offer one specific, content-linked question. Completed work needs no question; omit unrelated non-action footers and generic offers to continue. Supporting paths are relative to this skill directory; sibling skill paths are relative to its parent. Resolve them from the host-provided skill base directory ({baseDir} on hosts that provide it), never a hardcoded install location. A named workflow not installed here is unavailable, not permission to emulate its host-specific capabilities. Verify through the real surface before done.

Frequently asked questions

What does the Omh Physical Device Readiness AI skill do?

[omh] Agent control of a robot, 3D printer, or IoT relay: gate robots, 3D printers, IoT relays, sensors, and lab hardware before trials; use external-connector-readiness for provider or connector adoption and toolbelt-readiness for missing control tools. Use when the user says: physical-device-readiness, physical device readiness, device safety readiness, physical device safety, hardware safety gate, 3d printer readiness, 3D printer safety, snapmaker printer safety.

Why use Omh Physical Device Readiness on TypingMind?

Because you install it once and use it with any model. Omh Physical Device Readiness is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Omh Physical Device Readiness in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-physical-device-readiness. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Omh Physical Device Readiness?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Omh Physical Device Readiness?

As many as you like. As long as a model supports skills, you can use Omh Physical Device Readiness with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Omh Physical Device Readiness AI skill free?

Yes. It is published on GitHub by rlaope under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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