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Agent skill

Omh Voice Input

by rlaope in rlaope/oh-my-hermes

[omh] Dictated voice note about project work or status: terse voice and mobile-style requests - turn short spoken-style asks into clarify, plan, status, handoff, or confirmation actions.

MITAuto-check passedMedia & Creative

Install Omh Voice Input

skills CLI
$ npx skills add rlaope/oh-my-hermes --skill omh-voice-input -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rlaope/oh-my-hermes omh-voice-input --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/omh-voice-input .claude/skills/omh-voice-input && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
omh-voice-input
GitHub stars
3.2k
Token cost
~1.6k tokens
SKILL.md length
729 words
Files
1
Skills in repo
143
Repo updated
First seen
Licence
MIT

At a glance

[omh] Dictated voice note about project work or status: terse voice and mobile-style requests - turn short spoken-style asks into clarify, plan, status, handoff, or confirmation actions.

  • The user says: voice-operator
  • SKILL.md covers Why This Exists, Do Not Use When, Examples and Completion Checklist, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Dictated command

What it does

Omh Voice Input is an agent skill from rlaope/oh-my-hermes. [omh] Dictated voice note about project work or status: terse voice and mobile-style requests - turn short spoken-style asks into clarify, plan, status, handoff, or confirmation actions. Use when the user says: voice-operator, voice operator, voice-first, voice command, mobile command, short command, dictated command, dictated request.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Transcription. The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.

When your agent uses it

  • The user says: voice-operator
  • Dictated command
  • Dictated request

Example prompts

  • “/omh-voice-input”

What it can do on your machine

Read from SKILL.md and the folder at commit 7cd0d02. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Omh Voice Input loads about 1.6k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 729 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rlaope/oh-my-hermes at commit 7cd0d02, republished under its MIT licence (© rlaope). 729 words, ~1,583 tokens.

Download SKILL.mdSave it as .claude/skills/omh-voice-input/SKILL.md (or your agent's skills folder).
name
omh-voice-input
description
[omh] Dictated voice note about project work or status: terse voice and mobile-style requests - turn short spoken-style asks into clarify, plan, status, handoff, or confirmation actions. Use when the user says: voice-operator, voice operator, voice-first, voice command, mobile command, short command, dictated command, dictated request.

Voice Operator

This is a Hermes-native voice-operator workflow skill.

Why This Exists

voice-operator exists so Hermes users can ask for this workflow in chat and get a structured, checkable answer instead of an improvised one.

Do Not Use When

  • The request is already handled by a narrower explicit skill with stronger evidence.
  • The user asks OMH to secretly run external platforms, connectors, schedulers, file exports, or runtime agents.
  • The only safe answer is to ask for missing authority, credentials, target, or observed evidence first.

Examples

Good example:

  • Prompt: voice-operator 'release before lunch, check risky parts' from mobile.
  • Expected behavior: Produce prepare_voice_operator_card 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: voice-operator assume the user approved a destructive action from a vague voice note.
  • 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

  • The short-input or voice-like request is clarified enough to avoid accidental action.
  • The next action is readable, reversible when possible, and confirmation-gated when risky.
  • Delivery, notification, or platform behavior is not claimed without wrapper evidence.

Recovery Notes

  • If transcript confidence or intent is weak, ask one short clarification before action.
  • If platform delivery is unavailable, keep the response in chat and mark delivery not_observed.

Workflow Lane

  • Current lane: Automation and status (achievements, workspace-audit, production-audit, live-incident-response, automation-blueprint, github-event-ops, github-issue-intake, buzz, +39 more) - schedules, status, health, and ops review.
  • If intent belongs to another lane, hand back to oh-my-hermes or name the adjacent workflow.
  • Shared product, routing, compatibility, and evidence rules: omh-routing/references/skill-common-rail.md.

Use When

Use when Hermes receives terse voice/mobile-style requests and should produce concise clarification, plan, or status UX.

Strong routing signals: `voice-operator`, `voice operator`, `voice-first`, `voice command`, `mobile command`, `short command`, `dictated command`, `dictated request`, `spoken request`, `speech command`, `accessibility`, `hands free`, `hands-free`, `phone command`, `phone request`, `push command`, `음성`, `음성으로`, `음성 명령`, `모바일 명령`, `모바일 음성`, `핸드폰`, `폰으로`, `말로`, `말로 한 요청`, `접근성`, `짧은 명령`, `짧게 말한 요청`

Catalog Metadata

Category: accessibility Phase: voice-routing Hermes role: guide 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.

Handoff policy:

Keep this as Hermes-facing orchestration guidance first. Prepare executor, connector, gateway, or host-runtime handoff only when the user accepts that next step and observed evidence can be recorded.

Required inputs:

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

Expected outputs:

  • voice-operator/v1 card or guidance
  • next action
  • prepared-vs-observed boundary

Artifact expectations:

  • voice-operator/v1 metadata-only runtime or wrapper card when recorded

Safety rules:

  • A voice operator card is not speech recognition, mobile notification delivery, platform action, or accepted execution evidence.
  • Do not claim connector, gateway, runtime, file generation, memory mutation, or host automation evidence from prepared guidance.
  • This card is not realtime voice connector readiness. It may read the tool-safety verdict of a supplied realtime_voice_trial_receipt/v1 when one exists, and it never creates, infers, or upgrades one; route realtime voice adoption to external-connector-readiness.
Show full SKILL.md (192 more words)Show less

Runtime Evidence

Preferred harness for this skill: voice-operator.

sh
omh runtime record --skill voice-operator --harness voice-operator --status started

Record observed delegation results; otherwise return not_available or not_observed. Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.

  • Treat wrapper memory/context summaries as advisory local context, not proof of opaque Hermes memory reads or changes. Preserve workflow intent and stop conditions; verify before claiming completion. Reply in the user's own words and the host's own voice: its SOUL.md 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 stop condition or a decision the user owns ends the turn, offer the next action as a question rather than declaring what will not be done.

Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.

Shared product, compatibility, topology, memory, harness, and execution rules: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.

© rlaope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/omh-voice-input of rlaope/oh-my-hermes.

Open the folder on GitHubat commit 7cd0d02

Compare with similar skills

Omh Voice Input next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Omh Voice Input compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Omh Voice Input this skillrlaope/oh-my-hermes3.2k—~1.6kAutomated safety check: PassMIT
HyperFrames Media Useheygen-com/hyperframes60k—~2.4kAutomated safety check: PassApache-2.0
Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image2.6k—~1.8kAutomated safety check: PassMIT
Edu Chem Videowy51ai/edulab1.4k—~2.1kAutomated safety check: NotesApache-2.0
Transcription Memory ReconstructionNxcoreAI/EverRoom3k—~714Automated safety check: PassCustom licence
Edu Math Videowy51ai/edulab1.4k—~2.5kAutomated safety check: NotesApache-2.0

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Categories

Questions about Omh Voice Input

What does Omh Voice Input do?

[omh] Dictated voice note about project work or status: terse voice and mobile-style requests - turn short spoken-style asks into clarify, plan, status, handoff, or confirmation actions. Omh Voice Input is an agent skill from rlaope/oh-my-hermes. [omh] Dictated voice note about project work or status: terse voice and mobile-style requests - turn short spoken-style asks into clarify, plan, status, handoff, or confirmation actions.

When should I use Omh Voice Input?

Omh Voice Input fits situations like: the user says: voice-operator; dictated command; dictated request.

How do I install Omh Voice Input in Claude Code?

Run `npx skills add rlaope/oh-my-hermes --skill omh-voice-input -a claude-code`. Or copy the skill folder (skills/omh-voice-input in rlaope/oh-my-hermes) into .claude/skills/omh-voice-input in your project. Claude Code loads it when a task matches its description.

How do I install Omh Voice Input in Codex?

Run `npx skills add rlaope/oh-my-hermes --skill omh-voice-input -a codex`. Or copy the skill folder (skills/omh-voice-input in rlaope/oh-my-hermes) into .agents/skills/omh-voice-input in your project. Codex loads it when a task matches its description.

Can I use Omh Voice Input in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rlaope/oh-my-hermes --skill omh-voice-input -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/omh-voice-input, .gemini/skills/omh-voice-input, .github/skills/omh-voice-input and .opencode/skills/omh-voice-input in your project.

What does Omh Voice Input need to run?

SKILL.md names no scripts, command-line tools or credentials: Omh Voice Input is instructions for the agent only.

Does Omh Voice Input access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Omh Voice Input safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Omh Voice Input use?

Omh Voice Input is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Omh Voice Input use?

About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Omh Voice Input?

Skills that share tags, products or a category with Omh Voice Input: HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.6k stars), Edu Chem Video (wy51ai/edulab, 1.4k stars) and Transcription Memory Reconstruction (NxcoreAI/EverRoom, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Omh Voice Input?

rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,243 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 10, 2026.

Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.