oh-my-agent is a harness for checking whether coding agents actually completed their work by verifying tests, required artifacts, independent reviews, and recorded decisions. It is used across multiple agent runtimes to make workflow results auditable instead of relying on an agent's own report. The catalogue add-ons provide parts of its skills, agents, hooks, MCP integrations, instructions, and plugins.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add first-fluke/oh-my-agent --skill oma-voicegit clone --depth 1 https://github.com/first-fluke/oh-my-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-voice)<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-voice"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-voice/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-voice"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00096 | $0.03209 |
| Opus 5 | $0.00048 | $0.01605 |
| Sonnet 5 | $0.00019 | $0.00642 |
| Haiku 4.5 | $0.00010 | $0.00321 |
Grade A, and why
oma-voice scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- oma-voice — 100% identical, 37 lines differ
How it starts
The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice Skill - Local TTS and STT via Voicebox
Scheduling
Goal
Drive the Voicebox local app through its MCP server so any MCP-aware agent can speak (TTS) or listen (STT) without invoking cloud vendors. The skill standardizes intent routing, voice profile resolution, output layout, and guardrails while voicebox itself owns the engines, voice cloning UI, captures archive, and stories editor.
Intent signature
- User asks to generate speech, narrate text, produce a voiceover, create an mp3 or wav from text.
- User wants an audio file transcribed into text, meeting notes, or a transcript.
- User asks for a voice notification when a long task completes or a workflow step is blocked.
- Another skill needs local audio generation infrastructure.
When to use
- Generating short notification audio for agent task completion or blockers.
- Producing voiceover, narration, or audio assets (mp3 or wav) for apps and content.
- Transcribing local audio files (mp3, wav, m4a, webm, flac) to Markdown.
- Comparing voice profiles by re-running the same text against different profile ids.
When NOT to use
- Cloud TTS or high-fidelity multilingual cloud voices -> out of scope; future multi-vendor extension.
- Real-time microphone dictation loop in the terminal -> use Voicebox app's built-in hotkey dictation.
- Voice cloning sample upload and profile creation -> done in the Voicebox desktop app UI.
- Video synthesis, music, sound design -> out of scope.
- Stories Editor multi-voice timeline composition -> use the Voicebox app UI.
Expected inputs
- TTS: text (<= 5000 chars per call), optional profile id, optional engine, optional language, optional output path.
- STT: audio file path (absolute or relative to
$CWD), optional language hint. - Notification: short message (<= 240 chars), profile id resolved from config.
Expected outputs
- TTS: audio file (
wav— Voicebox's native TTS output format;mp3optional via a local ffmpeg transcode) at.agents/results/voice/{timestamp}-{shortid}/output.{wav|mp3}plusmanifest.json. - STT:
transcript.mdat.agents/results/voice/transcripts/{timestamp}-{shortid}/plusmanifest.json. - Notification: ephemeral playback through Voicebox; no disk write by default.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday Changed · -1 lines a527add81096
- 11d ago First seen · 235 lines · 96 tokens per session scan A d6664c583d86
oma-voice is a skill published in the GitHub repository first-fluke/oh-my-agent (1,283 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 3,209 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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