OpenAgent is a self-hostable personal AI assistant that combines language models, document-based retrieval, and autonomous agent loops. It lets people connect model providers and their own knowledge bases, then have agents browse the web, run code, use computers, and call MCP-compatible tools.
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 the-open-agent/openagent --skill sherpa-onnx-ttsgit clone --depth 1 https://github.com/the-open-agent/openagentWrote 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/the-open-agent/openagent/sherpa-onnx-tts)<a href="https://agentmods.dev/skills/the-open-agent/openagent/sherpa-onnx-tts"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/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/the-open-agent/openagent/sherpa-onnx-tts"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/sherpa-onnx-tts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 75 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.01046 |
| Opus 5 | $0.00013 | $0.00523 |
| Sonnet 5 | $0.00005 | $0.00209 |
| Haiku 4.5 | $0.00003 | $0.00105 |
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.
Copies of this mod
8 near-identical copies found in the catalogue:
- sherpa-onnx-tts — 100% identical, 0 lines differ
- sherpa-onnx-tts — 95% identical, 18 lines differ
- sherpa-onnx-tts — 95% identical, 18 lines differ
- sherpa-onnx-tts — 95% identical, 18 lines differ
- sherpa-onnx-tts — 95% identical, 18 lines differ
- sherpa-onnx-tts — 95% identical, 22 lines differ
- sherpa-onnx-tts — 95% identical, 18 lines differ
- sherpa-onnx-tts — 94% identical, 80 lines differ
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_STATE_DIR/tools/sherpa-onnx-tts/runtime, default~/.openclaw/tools/sherpa-onnx-tts/runtime) - Download a voice model (extracts into
$OPENCLAW_STATE_DIR/tools/sherpa-onnx-tts/models, default~/.openclaw/tools/sherpa-onnx-tts/models)
Resolve the active state directory first:
STATE_DIR="${OPENCLAW_STATE_DIR:-$HOME/.openclaw}"
Then write those resolved paths into the active OpenClaw config file ($OPENCLAW_CONFIG_PATH, default ~/.openclaw/openclaw.json):
{
skills: {
entries: {
"sherpa-onnx-tts": {
env: {
SHERPA_ONNX_RUNTIME_DIR: "/path/to/your/state-dir/tools/sherpa-onnx-tts/runtime",
SHERPA_ONNX_MODEL_DIR: "/path/to/your/state-dir/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 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 · 110 lines · 26 tokens per session scan A 57392104e663
sherpa-onnx-tts is a skill published in the GitHub repository the-open-agent/openagent (5,612 stars, last pushed yesterday), licensed Apache-2.0. It adds 26 tokens to every session and 1,046 once invoked, about $0.0001 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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