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/ericwang915/pythonclaw/ttsnpx skills add ericwang915/PythonClaw --skill ttsgit clone --depth 1 https://github.com/ericwang915/PythonClawWhat 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 | $0.00065 | $0.00616 |
| Opus 5 | $0.00032 | $0.00308 |
| Sonnet 5 | $0.00013 | $0.00123 |
| Haiku 4.5 | $0.00006 | $0.00062 |
Grade A, and why
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 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.
What it actually says
Text-to-Speech
Convert text to spoken audio files.
When to Use
✅ USE this skill when:
- "Read this text aloud"
- "Generate an audio file of this paragraph"
- "Create a voiceover for this script"
- "Convert this text to speech"
- "Say this in Spanish"
When NOT to Use
❌ DON'T use this skill when:
- Speech-to-text / transcription → use Deepgram or Whisper
- Music generation → use specialised music tools
- Audio editing or effects → use ffmpeg or audio editors
- Playing existing audio files → use system player
Usage
Basic TTS (using gTTS — Google Translate TTS)
python {skill_path}/speak.py "Hello, this is PythonClaw speaking." --output hello.mp3
Options
# Different language
python {skill_path}/speak.py "Bonjour le monde" --lang fr
# Slow speed
python {skill_path}/speak.py "Important message" --slow
# Custom output path
python {skill_path}/speak.py "Text here" --output ~/audio/speech.mp3
Alternative: edge-tts (higher quality, more voices)
If edge-tts is installed (pip install edge-tts):
python {skill_path}/speak.py "Hello world" --engine edge --voice en-US-AriaNeural
Available edge-tts voices (examples)
en-US-AriaNeural— Female, US English (default)en-US-GuyNeural— Male, US Englishen-GB-SoniaNeural— Female, British Englishzh-CN-XiaoxiaoNeural— Female, Chineseja-JP-NanamiNeural— Female, Japanesede-DE-KatjaNeural— Female, German
List all voices: python -m edge_tts --list-voices
Notes
- gTTS requires internet (uses Google Translate's TTS endpoint)
- edge-tts requires internet (uses Microsoft Edge's TTS service)
- Output format is MP3 by default
- For offline TTS, consider
pyttsx3(lower quality but no network needed)
Resources
| File | Description |
|---|---|
speak.py |
Multi-engine TTS wrapper (gTTS + edge-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.
- 2d ago First seen · 84 lines · 65 tokens per session scan A d70522ccac04
tts is a skill published in the GitHub repository ericwang915/PythonClaw (41 stars, last pushed 24d ago), licensed MIT. It adds 65 tokens to every session and 616 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 2026-08-30.
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