Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add krishagel/geoffrey/plugin install geoffreyWrote 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/krishagel/geoffrey/elevenlabs-tts)<a href="https://agentmods.dev/skills/krishagel/geoffrey/elevenlabs-tts"><img src="https://agentmods.dev/badge/skills/krishagel/geoffrey/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/krishagel/geoffrey/elevenlabs-tts"><img src="https://agentmods.dev/badge/skills/krishagel/geoffrey/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 | $0.00031 | $0.01028 |
| Opus 5 | $0.00015 | $0.00514 |
| Sonnet 5 | $0.00006 | $0.00206 |
| Haiku 4.5 | $0.00003 | $0.00103 |
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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- elevenlabs-tts — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Eleven Labs Text-to-Speech
Generate high-quality audio from text using the Eleven Labs API. Ideal for podcast-style summaries, narration, and voice-overs.
Quick Start
# Generate audio with default voice (Rachel)
uv run scripts/generate_audio.py --text "Hello, this is a test."
# Generate from a text file
uv run scripts/generate_audio.py --file report.txt --output ~/Desktop/report.mp3
# Use a specific voice
uv run scripts/generate_audio.py --text "Breaking news..." --voice Josh
# List available voices
uv run scripts/list_voices.py
Scripts
generate_audio.py
Main script for TTS generation.
Arguments:
| Argument | Description | Default |
|---|---|---|
--text |
Text content to convert | - |
--file |
Path to text file | - |
--voice |
Voice name or ID | Rachel |
--model |
Model ID | eleven_multilingual_v2 |
--output |
Output file path | ~/Desktop/audio_TIMESTAMP.mp3 |
Features:
- Auto-chunks text >10k characters at sentence boundaries
- Concatenates chunks into single MP3
- Returns JSON with metadata (file path, voice, model, char count, chunks)
list_voices.py
Fetch and display available voices.
Arguments:
| Argument | Description | Default |
|---|---|---|
--all |
Show all voices (not just premade) | false |
--json |
Output as JSON | false |
Curated Voices
Six voices selected for variety (see references/voices.md for details):
| Voice | Style | Best For |
|---|---|---|
| Rachel | Calm, clear | Narration, podcasts (default) |
| Bella | Soft, gentle | Storytelling, meditation |
| Elli | Young, expressive | Casual content, tutorials |
| Josh | Deep, authoritative | News, professional content |
| Adam | Middle-aged, clear | Business, documentaries |
| Antoni | Warm, versatile | General purpose |
Use list_voices.py to discover additional voices.
Models
| Model | ID | Best For | Char Limit |
|---|---|---|---|
| Multilingual v2 | eleven_multilingual_v2 |
Long-form (default) | 10,000 |
| Flash v2.5 | eleven_flash_v2_5 |
Quick, real-time | 40,000 |
| Turbo v2.5 | eleven_turbo_v2_5 |
Balanced | 40,000 |
| Eleven v3 | eleven_v3 |
Maximum expression | 3,000 |
What ships with it
3 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.
- 12d ago First seen · 139 lines · 31 tokens per session scan A 13827d0cbe16
elevenlabs-tts is a skill published in the GitHub repository krishagel/geoffrey (6 stars, last pushed 6mo ago), licensed MIT. It adds 31 tokens to every session and 1,028 once invoked, about $0.0002 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 2026-08-31.
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