Moltis is a persistent personal agent server written in Rust that runs on hardware controlled by its user. It provides an AI agent with sandboxed command execution, model-provider connections, memory, voice, scheduling, messaging integrations, browser automation, and MCP tools. Its catalogue add-ons extend the agent’s workflows and available 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 moltis-org/moltis --skill sherpa-onnx-ttsgit clone --depth 1 https://github.com/moltis-org/moltisWrote 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/moltis-org/moltis/sherpa-onnx-tts)<a href="https://agentmods.dev/skills/moltis-org/moltis/sherpa-onnx-tts"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/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/moltis-org/moltis/sherpa-onnx-tts"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/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 25 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 | $0.00524 |
| Opus 5 | $0.00013 | $0.00262 |
| Sonnet 5 | $0.00005 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
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 13d 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.
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~/.moltis/tools/sherpa-onnx-tts/runtime) - Download a voice model (extracts into
$OPENCLAW_STATE_DIR/tools/sherpa-onnx-tts/models, default~/.moltis/tools/sherpa-onnx-tts/models)
Resolve the active state directory first:
STATE_DIR="${OPENCLAW_STATE_DIR:-$HOME/.Moltis}"
Then write those resolved paths into the active Moltis config file ($OPENCLAW_CONFIG_PATH, default ~/.moltis/Moltis.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 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.
- 13d ago First seen · 60 lines · 26 tokens per session scan A 8e2b93c49139
sherpa-onnx-tts is a skill published in the GitHub repository moltis-org/moltis (2,851 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 524 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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