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 deepgram/dglabs-deepclaw --skill sherpa-onnx-ttsgit clone --depth 1 https://github.com/deepgram/dglabs-deepclawWrote 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/deepgram/dglabs-deepclaw/sherpa-onnx-tts)<a href="https://agentmods.dev/skills/deepgram/dglabs-deepclaw/sherpa-onnx-tts"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/sherpa-onnx-tts/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/deepgram/dglabs-deepclaw/sherpa-onnx-tts"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/sherpa-onnx-tts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00026 | $0.01011 |
| Opus 5 | $0.00013 | $0.00505 |
| Sonnet 5 | $0.00005 | $0.00202 |
| Haiku 4.5 | $0.00003 | $0.00101 |
Grade A, and why
sherpa-onnx-tts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
92% identical to sherpa-onnx-tts — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
sherpa-onnx-tts
Local TTS using the sherpa-onnx offline CLI.
Install
- Download the runtime for your OS (extracts into
~/.openclaw/tools/sherpa-onnx-tts/runtime) - Download a voice model (extracts into
~/.openclaw/tools/sherpa-onnx-tts/models)
Update ~/.openclaw/openclaw.json:
{
skills: {
entries: {
"sherpa-onnx-tts": {
env: {
SHERPA_ONNX_RUNTIME_DIR: "~/.openclaw/tools/sherpa-onnx-tts/runtime",
SHERPA_ONNX_MODEL_DIR: "~/.openclaw/tools/sherpa-onnx-tts/models/vits-piper-en_US-lessac-high",
},
},
},
},
}
The wrapper lives in this skill folder. Run it directly, or add the wrapper to PATH:
export PATH="{baseDir}/bin:$PATH"
Usage
{baseDir}/bin/sherpa-onnx-tts -o ./tts.wav "Hello from local TTS."
Notes:
- Pick a different model from the sherpa-onnx
tts-modelsrelease if you want another voice. - If the model dir has multiple
.onnxfiles, setSHERPA_ONNX_MODEL_FILEor pass--model-file. - You can also pass
--tokens-fileor--data-dirto override the defaults. - Windows: run
node {baseDir}\\bin\\sherpa-onnx-tts -o tts.wav "Hello from local TTS."
What ships with it
1 file 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.
- 11d ago First seen · 104 lines · 26 tokens per session scan A bb61a0053efd
sherpa-onnx-tts is a skill published in the GitHub repository deepgram/dglabs-deepclaw (23 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 1,011 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to sherpa-onnx-tts, differing in 26 lines, and is treated as a copy.
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