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 calesthio/generative-media-skills --skill elevenlabs-agentsgit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/elevenlabs-agents)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/elevenlabs-agents"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/elevenlabs-agents/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/calesthio/generative-media-skills/elevenlabs-agents"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/elevenlabs-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 218 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00153 | $0.06865 |
| Opus 5 | $0.00077 | $0.03432 |
| Sonnet 5 | $0.00031 | $0.01373 |
| Haiku 4.5 | $0.00015 | $0.00686 |
Grade A, and why
elevenlabs-agents 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.
How it starts
The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ElevenLabs Agents (ElevenAgents)
Production guidance for building voice (and text) agents on the ElevenLabs Agents platform. The product was renamed from "Conversational AI" to "ElevenLabs Agents" / "ElevenAgents" during 2026; documentation URLs use both /docs/eleven-agents/... and legacy /docs/agents-platform/... paths, and the two mostly mirror each other. All model IDs, prices, limits, and endpoints below are volatile and were verified on 2026-07-10 against elevenlabs.io/docs — re-verify before quoting them to a user, because ElevenLabs adds LLMs and revises plans frequently.
When this skill applies
Use this skill when the work is a two-way spoken (or typed) conversation driven by the ElevenLabs Agents runtime: phone bots, website voice widgets, in-app voice assistants, WhatsApp/chat agents, outbound call campaigns, or a custom SDK integration. It also applies to configuring the agent's brain (prompt, LLM, tools, knowledge), its voice, its channel, and its evaluation.
Do not use it for one-shot text-to-speech, audiobook narration, dubbing, sound effects, or music — those are separate ElevenLabs products with their own APIs. If the user only wants a .mp3 from text, they want the TTS API, not an agent.
The pipeline you are configuring
[Documented] An ElevenAgents conversation is an orchestrated loop over four components (elevenlabs.io/docs/eleven-agents/overview, verified 2026-07-10):
- Speech-to-Text (ASR) — a fine-tuned recognition model that turns caller audio into text. ElevenLabs' custom ASR is quoted at sub-100ms versus ~300ms+ for a generic Whisper deployment.
- Turn-taking / interruption model — a proprietary model, layered on a Voice Activity Detector (VAD), that decides when the user has actually finished a turn (vs. a mid-sentence pause) and when a barge-in should stop the agent.
- LLM — the reasoning brain. You pick from hosted models (Google/OpenAI/Anthropic/ElevenLabs-hosted open weights) or bring a custom endpoint.
- Text-to-Speech (TTS) — a low-latency voice model rendering the reply, drawn from 5,000+ voices across 70+ languages (agent voice picker exposes ~31 languages; Flash/Turbo TTS models cover ~32).
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.
- 9d ago First seen · 256 lines · 153 tokens per session scan A dc8a5d95384d
elevenlabs-agents is a skill published in the GitHub repository calesthio/generative-media-skills (171 stars, last pushed 2mo ago), licensed MIT. It adds 153 tokens to every session and 6,865 once invoked, about $0.0008 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 2026-09-03.
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