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 devinilabs/pro-skill --skill elevenlabs-ttsgit clone --depth 1 https://github.com/devinilabs/pro-skillWrote 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/devinilabs/pro-skill/elevenlabs-tts)<a href="https://agentmods.dev/skills/devinilabs/pro-skill/elevenlabs-tts"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/elevenlabs-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/devinilabs/pro-skill/elevenlabs-tts"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/elevenlabs-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 | $0.00076 | $0.00873 |
| Opus 5 | $0.00038 | $0.00436 |
| Sonnet 5 | $0.00015 | $0.00175 |
| Haiku 4.5 | $0.00008 | $0.00087 |
Grade A, and why
elevenlabs-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 9d 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
100% identical to elevenlabs-tts — 0 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ElevenLabs TTS
Use this skill for ElevenLabs text-to-speech generation. Keep the skill reusable and non-personal:
- Do not store API keys, voice names, voice ids, emails, account names, customer names, or personal defaults in the skill.
- Read
ELEVENLABS_API_KEYfrom the process environment or the nearest.env. - Read account-specific voice profiles from local JSON config outside this skill.
- Generate audio with request-level settings. Do not mutate saved ElevenLabs account or voice settings unless the user explicitly asks.
Local Profiles
Prefer one of these config sources, in order:
--config /path/to/profiles.jsonELEVENLABS_TTS_CONFIG=/path/to/profiles.jsonlocal/elevenlabs/profiles.json
Project-local profile files are also fine when they are gitignored, for example config/local/elevenlabs-tts.json.
The helper script expects this shape:
{
"default_profile": "default",
"profiles": {
"default": {
"voice_name": "Voice name from the local account",
"voice_id": "optional-direct-voice-id",
"voice_id_env": "OPTIONAL_ENV_VAR_WITH_VOICE_ID",
"model_id": "eleven_multilingual_v2",
"output_format": "mp3_44100_128",
"voice_settings": {
"stability": 0.5,
"similarity_boost": 1.0,
"style": 0.0,
"speed": 1.0,
"use_speaker_boost": true
},
"output_dir": "outputs/voiceovers",
"emails": []
}
}
}
Fields like emails, owners, aliases, and notes are for local routing/context only. The script ignores unknown metadata fields.
Workflow
- Choose the profile from
--profile,ELEVENLABS_TTS_PROFILE, ordefault_profile. - Prefer the helper script:
python3 <skill-root>/scripts/generate_voice.py --text-file script.txt --profile default --output output.mp3 - If the profile has
voice_id, use it. If it hasvoice_id_env, read that env var. Otherwise search ElevenLabs byvoice_name. - Use profile
model_id,output_format, andvoice_settingsunless the user overrides them for this generation. - Put generated audio in the requested destination. If no destination is given, use the profile
output_dir, thenoutputs/voiceovers/. - Report the output path and any important warnings. Do not print secrets.
What ships with it
6 files 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.
- 9d ago First seen · 85 lines · 76 tokens per session scan A 066b56c8711e
elevenlabs-tts is a skill published in the GitHub repository devinilabs/pro-skill (24 stars, last pushed 27d ago), licensed MIT. It adds 76 tokens to every session and 873 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to elevenlabs-tts, differing in 0 lines, and is treated as a copy.
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