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 agentmods add rules/saynaai/sayna/coregit clone --depth 1 https://github.com/SaynaAI/saynaWhat 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 | $0.01582 | $0.01582 |
| Opus 5 | $0.00791 | $0.00791 |
| Sonnet 5 | $0.00316 | $0.00316 |
| Haiku 4.5 | $0.00158 | $0.00158 |
Grade A, and why
core 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 2d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sayna Core Module
This Rust Axum project is a unified STT, TTS server that handles real-time WebSocket APIs for STT and TTS providers like Deepgram, ElevenLabs, Google, Microsoft Azure, Cartesia, and others into one unified WebSocket API that abstracts away provider-specific details.
The main business logic is inside src/core/, which uses trait-based abstraction to have unified higher-level implementations of TTS and STT separated into dedicated folders.
STT Base Abstraction (src/core/stt/base.rs)
The BaseSTT trait defines the interface for all STT providers:
Required Methods
| Method | Signature | Description |
|---|---|---|
new |
fn new(config: STTConfig) -> Result<Self, STTError> |
Create a new instance with STT configuration |
connect |
async fn connect(&mut self) -> Result<(), STTError> |
Initiate connection to STT provider |
disconnect |
async fn disconnect(&mut self) -> Result<(), STTError> |
Disconnect from provider |
is_ready |
fn is_ready(&self) -> bool |
Check if connection is ready |
send_audio |
async fn send_audio(&mut self, audio_data: Vec<u8>) -> Result<(), STTError> |
Send audio bytes for transcription |
on_result |
async fn on_result(&mut self, callback: STTResultCallback) -> Result<(), STTError> |
Register transcription result callback |
on_error |
async fn on_error(&mut self, callback: STTErrorCallback) -> Result<(), STTError> |
Register error callback for streaming errors |
get_config |
fn get_config(&self) -> Option<&STTConfig> |
Get current configuration |
update_config |
async fn update_config(&mut self, config: STTConfig) -> Result<(), STTError> |
Update configuration while connected |
get_provider_info |
fn get_provider_info(&self) -> &'static str |
Get provider-specific information |
STTResult Type
pub struct STTResult {
pub transcript: String, // The transcribed text
pub is_final: bool, // Whether this is a final result
pub is_speech_final: bool, // Whether speech segment ended
pub confidence: f32, // Confidence score (0.0 to 1.0)
}
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.
- 2d ago First seen · 131 lines · 1,582 tokens per session scan A cd195b9d747e
core is a cursor rule published in the GitHub repository SaynaAI/sayna (311 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 1,582 tokens to every session, about $0.0079 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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