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 jezweb/claude-skills --skill elevenlabs-agentsgit clone --depth 1 https://github.com/jezweb/claude-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/jezweb/claude-skills/elevenlabs-agents)<a href="https://agentmods.dev/skills/jezweb/claude-skills/elevenlabs-agents"><img src="https://agentmods.dev/badge/skills/jezweb/claude-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/jezweb/claude-skills/elevenlabs-agents"><img src="https://agentmods.dev/badge/skills/jezweb/claude-skills/elevenlabs-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Data Exfiltration · line 122 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 343 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00092 | $0.03334 |
| Opus 5 | $0.00046 | $0.01667 |
| Sonnet 5 | $0.00018 | $0.00667 |
| Haiku 4.5 | $0.00009 | $0.00333 |
Grade A, and why
elevenlabs-agents scanned grade A with 1 finding 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 8d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
**Server-only warning:** `@elevenlabs/elevenlabs-js` uses Node.js `child_process` and won't work in browsers. Use `@elevenlabs/client` for browser environments, or create a proxy server. How it starts
The opening of the file, as written. The whole thing — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ElevenLabs Agent Builder
Build a production-ready conversational AI voice agent. Produces a configured agent with tools, knowledge base, and SDK integration.
Packages
npm install @elevenlabs/react # React SDK
npm install @elevenlabs/client # JavaScript SDK (browser + server)
npm install @elevenlabs/react-native # React Native SDK
npm install @elevenlabs/elevenlabs-js # Full API (server only)
npm install -g @elevenlabs/agents-cli # CLI ("Agents as Code")
DEPRECATED: @11labs/react, @11labs/client -- uninstall if present.
Server-only warning: @elevenlabs/elevenlabs-js uses Node.js child_process and won't work in browsers. Use @elevenlabs/client for browser environments, or create a proxy server.
Workflow
Step 1: Create Agent via Dashboard or CLI
Dashboard: https://elevenlabs.io/app/conversational-ai -> Create Agent
CLI (Agents as Code):
elevenlabs agents init
elevenlabs agents add "Support Bot" --template customer-service
# Edit agent_configs/support-bot.json
elevenlabs agents push --env dev
Templates: default, minimal, voice-only, text-only, customer-service, assistant.
Configure:
- Voice -- Choose from 5000+ voices or clone
- LLM -- GPT, Claude, Gemini, or custom
- System prompt -- Use the 6-component framework below
- First message -- What the agent says when conversation starts
Step 2: Write the System Prompt
Use the 6-component framework for effective agent prompts:
1. Personality -- who the agent is:
You are [NAME], a [ROLE] at [COMPANY].
You have [EXPERIENCE]. Your traits: [LIST TRAITS].
2. Environment -- communication context:
You're communicating via [phone/chat/video].
Consider [environmental factors]. Adapt to [context].
3. Tone -- speech patterns and formality:
Tone: Professional yet warm. Use contractions for natural speech.
Avoid jargon. Keep responses to 2-3 sentences. Ask one question at a time.
What ships with it
12 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.
- assets/agent-config-schema.json 2.5 KB
- assets/ci-cd-example.yml 2.0 KB
- assets/javascript-sdk-boilerplate.js 4.8 KB runs code
- assets/react-native-boilerplate.tsx 2.1 KB
- assets/react-sdk-boilerplate.tsx 4.8 KB
- assets/simulation-template.json 268 B
- assets/swift-sdk-boilerplate.swift 2.1 KB
- assets/system-prompt-template.md 4.7 KB
- assets/widget-embed-template.html 2.0 KB
- references/api-reference.md 6.6 KB
- references/compliance-guide.md 3.9 KB
- references/workflow-examples.md 3.5 KB
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.
- 8d ago First seen · 436 lines · 92 tokens per session scan A d20de3ef4843
elevenlabs-agents is a skill published in the GitHub repository jezweb/claude-skills (1,000 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 3,334 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
code-transfer
Transfer code between files with line-based precision. Use when users request copying code from one location to another, moving functions or classes between files, extracting code blocks, or inserting code at specific line numbers.
ensemble-solving
Generate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives improves quality.
conversation-analyzer
Analyzes your Claude Code conversation history to identify patterns, common mistakes, and opportunities for workflow improvement. Use when user wants to understand usage patterns, optimize workflow, identify automation opportunities, or check if they're following best practices.
code-execution
Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.
code-refactor
Perform bulk code refactoring operations like renaming variables/functions across files, replacing patterns, and updating API calls. Use when users request renaming identifiers, replacing deprecated code patterns, updating method calls, or making consistent changes across multiple locations.
feature-planning
Break down feature requests into detailed, implementable plans with clear tasks. Use when user requests a new feature, enhancement, or complex change.