Brigade is an ecosystem for running crews of AI agents as a personal intelligence system, with local handling of credentials and support for exposing agent crews to the internet for testing. It is for people who want to organize and operate multiple AI agents using their own API keys or existing Claude, ChatGPT, Copilot, Claude Code, or Codex access. The catalogue skills provide workflows for using Brigade and its agent ecosystem.
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 spinabot/brigade --skill sherpa-onnx-ttsgit clone --depth 1 https://github.com/spinabot/brigadeWrote 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/spinabot/brigade/sherpa-onnx-tts)<a href="https://agentmods.dev/skills/spinabot/brigade/sherpa-onnx-tts"><img src="https://agentmods.dev/badge/skills/spinabot/brigade/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/spinabot/brigade/sherpa-onnx-tts"><img src="https://agentmods.dev/badge/skills/spinabot/brigade/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 | $0.01039 |
| Opus 5 | $0.00013 | $0.00519 |
| Sonnet 5 | $0.00005 | $0.00208 |
| Haiku 4.5 | $0.00003 | $0.00104 |
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
89% identical to sherpa-onnx-tts — 10 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
$BRIGADE_STATE_DIR/tools/sherpa-onnx-tts/runtime, default~/.brigade/tools/sherpa-onnx-tts/runtime) - Download a voice model (extracts into
$BRIGADE_STATE_DIR/tools/sherpa-onnx-tts/models, default~/.brigade/tools/sherpa-onnx-tts/models)
Resolve the active state directory first:
STATE_DIR="${BRIGADE_STATE_DIR:-$HOME/.brigade}"
Then write those resolved paths into the active Brigade config file ($BRIGADE_CONFIG_PATH, default ~/.brigade/brigade.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.
- 11d ago First seen · 110 lines · 26 tokens per session scan A 9485435354be
sherpa-onnx-tts is a skill published in the GitHub repository spinabot/brigade (3,521 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 1,039 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to sherpa-onnx-tts, differing in 10 lines, and is treated as a copy.
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