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 zeenie-ai/OpenCompany --skill speech-skillgit clone --depth 1 https://github.com/zeenie-ai/OpenCompanyWrote 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/zeenie-ai/opencompany/speech-skill)<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/speech-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/speech-skill/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/zeenie-ai/opencompany/speech-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/speech-skill.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 | $0.00037 | $0.01203 |
| Opus 5 | $0.00018 | $0.00602 |
| Sonnet 5 | $0.00007 | $0.00241 |
| Haiku 4.5 | $0.00004 | $0.00120 |
Grade A, and why
speech-skill 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 11d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Speech Skill
Two tools, several providers behind each. Pick the provider that fits the job rather than defaulting to one.
How It Works
Connect the Text to Speech and/or Speech to Text nodes to the
agent's input-tools handle. Each node has a provider parameter, and the
credential for the chosen provider must be configured in the Credentials
modal.
Audio never travels as data. Synthesis writes a file into the workflow workspace and returns a reference to it; transcription accepts a path or a reference produced upstream. So Text to Speech can be wired straight into Speech to Text, and neither tool ever puts audio bytes into the conversation.
text_to_speech
| Field | Type | Required | Description |
|---|---|---|---|
| text | string | Yes | The text to speak |
| provider | enum | No | openai (default), elevenlabs, sarvam |
| tts_model | string | No | Provider model id; blank uses the provider default |
| voice | string | No | Voice id; blank uses the provider default |
| language | string | No | Locale code. Required for Sarvam (e.g. hi-IN); auto-detected elsewhere |
| speed | number | No | Playback rate. Clamped to whatever the provider allows |
| output_format | string | No | Audio format; blank uses the provider default |
| provider_options | object | No | Vendor-specific extras, passed through untouched |
Returns audio — a reference carrying path, url, duration_seconds and
mime_type — plus files and chunk_count.
When several clips come back, they are separate playable files, not parts of one stream. Each carries its own container header, so concatenating them produces audio that plays only the first chunk.
Choosing a provider
- openai — solid general-purpose quality, 13 voices, inexpensive. Put
instructionsinprovider_optionsto steer tone, but note it works only ongpt-4o-mini-ttsand is ignored ontts-1. - elevenlabs — the most natural and controllable. Requires an explicit
voice; there is no account-wide default.stability,similarity_boost,styleanduse_speaker_boostgo inprovider_options. - sarvam — Indian languages: 11 locales, 37 voices on
bulbul:v3.languageis required.pitch/loudnesswork onbulbul:v2only andtemperatureonbulbul:v3only; the wrong one for the model is dropped rather than sent.
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.
- 11d ago First seen · 112 lines · 37 tokens per session scan A b4827b78015f
speech-skill is a skill published in the GitHub repository zeenie-ai/OpenCompany (880 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 1,203 once invoked, about $0.0002 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.
Other skills, from other repositories
sherpa-onnx-tts
Local text-to-speech via sherpa-onnx (offline, no cloud).
gifgrep
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.
meme-maker
Search meme templates, suggest formats, and generate local or hosted image memes.
openai-whisper-api
OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.
sag
ElevenLabs text-to-speech with mac-style say UX.
sonoscli
Control Sonos speakers (discover/status/play/volume/group).