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 OpenLAIR/OpenSkill --skill evo-tts-audiobook-synthgit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-tts-audiobook-synth)<a href="https://agentmods.dev/skills/openlair/openskill/evo-tts-audiobook-synth"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-tts-audiobook-synth/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/openlair/openskill/evo-tts-audiobook-synth"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-tts-audiobook-synth.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 | $0.00060 | $0.00490 |
| Opus 5 | $0.00030 | $0.00245 |
| Sonnet 5 | $0.00012 | $0.00098 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
evo-tts-audiobook-synth 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 yesterday.
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
evo-tts-audiobook-synth
Converts text to speech with cascading API fallback and audio concatenation.
Key Functions
synthesize_with_openai(text, output_path)- Uses OpenAI TTS API (tts-1, 4096 char limit)synthesize_with_elevenlabs(text, output_path)- Uses ElevenLabs API (client.text_to_speech.convert)synthesize_with_local_tts(text, output_path)- Uses edge-tts (async) or gTTS as fallbacksynthesize_text_to_audio(text, output_path)- Tries OpenAI -> ElevenLabs -> local, returns bytesconcatenate_audio_chunks(chunk_files, output_file)- Concatenates MP3 files using pydub/ffmpeg
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-tts-audiobook-synth/scripts')
from utils import synthesize_text_to_audio, concatenate_audio_chunks
# Synthesize each chunk
chunk_files = []
for i, chunk in enumerate(chunks):
path = f'/tmp/chunk_{i}.mp3'
synthesize_text_to_audio(chunk, path)
chunk_files.append(path)
# Concatenate all chunks
concatenate_audio_chunks(chunk_files, '/root/audiobook.mp3')
Technical Notes
- OpenAI TTS:
client.audio.speech.create(model="tts-1", voice="onyx", input=text), max 4096 chars - ElevenLabs:
client.text_to_speech.convert(text=text, voice_id="...", model_id="eleven_multilingual_v2") - edge-tts: async, uses Microsoft Edge neural voices, no API key needed
- gTTS: Google Translate TTS, no API key needed, lower quality
- Audio concat: use pydub AudioSegment or ffmpeg subprocess
- Always use "wb" mode for writing audio binary data
- Add time.sleep(1) between API calls to avoid rate limiting
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.
- yesterday First seen · 43 lines · 60 tokens per session scan A ff6e967631a7
evo-tts-audiobook-synth is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed 2d ago), licensed Apache-2.0. It adds 60 tokens to every session and 490 once invoked, about $0.0003 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 2026-09-11.
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