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 skills/unclutter-pro/atlas/sttnpx skills add unclutter-pro/atlas --skill sttgit clone --depth 1 https://github.com/unclutter-pro/atlasWrote 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/unclutter-pro/atlas/stt)<a href="https://agentmods.dev/skills/unclutter-pro/atlas/stt"><img src="https://agentmods.dev/badge/skills/unclutter-pro/atlas/stt.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00387 |
| Opus 5 | $0.00010 | $0.00193 |
| Sonnet 5 | $0.00004 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
stt scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "$STT_URL" \ What it actually says
Speech-to-Text (STT)
Transcribe audio files to text using the stt CLI.
Usage
# Transcribe an audio file
stt /path/to/audio.wav
# Transcribe with language hint
stt --language de /path/to/audio.ogg
# Transcribe from a URL (downloads first)
stt https://example.com/recording.mp3
Supported Formats
wav, mp3, ogg, m4a, aac, flac, webm, mp4 (audio track)
Direct API Usage
The STT endpoint is Whisper-compatible (OpenAI /v1/audio/transcriptions format):
curl -X POST "$STT_URL" \
-F "file=@/path/to/audio.wav" \
-F "response_format=json" \
-F "language=de"
Response: {"text": "transcribed text here"}
The URL is resolved from: ATLAS_STT_URL env → STT_URL env → config.yml (stt.url) → default.
Limitations
- Long files (>2 min) are split into 120s chunks with 5s overlap — minor artifacts at chunk boundaries are possible
- Accuracy depends on audio quality; background noise reduces quality significantly
- The model runs on CPU (int8 quantized) — expect ~5-15s processing per minute of audio
- Single-speaker optimized; multi-speaker conversations may lose speaker attribution
- No diarization (speaker identification) — only raw text output
Signal Integration
Audio messages received via Signal are automatically transcribed before reaching the agent — no manual action needed.
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.
- 5d ago First seen · 53 lines · 21 tokens per session scan A be3b06ae8796
stt is a skill published in the GitHub repository unclutter-pro/atlas (2 stars, last pushed 17d ago), licensed MIT. It adds 21 tokens to every session and 387 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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