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 jakenuts/agent-skills --skill elevenlabs-speech-enginegit clone --depth 1 https://github.com/jakenuts/agent-skillsWrote 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/jakenuts/agent-skills/elevenlabs-speech-engine)<a href="https://agentmods.dev/skills/jakenuts/agent-skills/elevenlabs-speech-engine"><img src="https://agentmods.dev/badge/skills/jakenuts/agent-skills/elevenlabs-speech-engine/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/jakenuts/agent-skills/elevenlabs-speech-engine"><img src="https://agentmods.dev/badge/skills/jakenuts/agent-skills/elevenlabs-speech-engine.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 | $0.00226 | $0.03649 |
| Opus 5.5 | $0.00090 | $0.01460 |
| Sonnet 5.5 | $0.00045 | $0.00730 |
| Haiku 4.5 | $0.00023 | $0.00365 |
Grade A, and why
elevenlabs-speech-engine 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ElevenLabs Speech Engine
Speech Engine is the server-side product that lets you keep your existing agent (any LLM/workflow that produces text) and bolt a real-time voice interface in front of it. ElevenLabs runs everything between the microphone and the LLM call; you only handle "transcript in, reply text out."
[Browser / Mobile] [ElevenLabs Cloud] [Your Server]
│ │ │
│ 1. signed URL request ─────▶ │ │
│ ◀──── signed URL (15 min) ─ │ │
│ 2. WebRTC audio ──────────▶ │ │
│ │ 3. STT + VAD + turn detect │
│ │ 4. WS open ─────────────────▶│
│ │ 5. user_transcript event │
│ │ + AbortSignal (TS) / │
│ │ asyncio cancel (Py) │
│ │ │ 6. LLM call (stream)
│ │ 7. session.sendResponse() ◀──│
│ │ 8. TTS │
│ 9. WebRTC audio ◀────────── │ │
│ │ │
│ — user interrupts — ───────▶ │ │
│ │ 10. signal aborted / │
│ │ in-flight LLM cancelled │
│ │ 11. new user_transcript ────▶│
The SDK gives you the WebSocket server (speechEngine.attach(),
SpeechEngine.Server, Python engine.serve() / engine.create_session())
plus client libraries (@elevenlabs/react, @elevenlabs/client,
@elevenlabs/react-native) for the user-facing side.
Speech Engine vs ElevenAgents — pick the right product first
What ships with it
7 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.
- 2mo ago First seen · 285 lines · 226 tokens per session scan A 35c4046779ed
elevenlabs-speech-engine is a skill published in the GitHub repository jakenuts/agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 226 tokens to every session and 3,649 once invoked, about $0.0009 per session on Opus 5.5. 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.
elevenlabs-speech-engine compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| elevenlabs-speech-enginejakenuts/agent-skills | Skill | 2 | 3mo ago | MIT | A | 226 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |