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 hamzabellouch/agent-skills --skill gemini-live-api-devgit clone --depth 1 https://github.com/hamzabellouch/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/hamzabellouch/agent-skills/gemini-live-api-dev)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/gemini-live-api-dev"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/gemini-live-api-dev/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/hamzabellouch/agent-skills/gemini-live-api-dev"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/gemini-live-api-dev.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 | $0.00088 | $0.03417 |
| Opus 5.5 | $0.00035 | $0.01367 |
| Sonnet 5.5 | $0.00018 | $0.00683 |
| Haiku 4.5 | $0.00009 | $0.00342 |
Grade A, and why
gemini-live-api-dev 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 1mo 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
95% identical to gemini-live-api-dev — 162 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 — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Live API Development Skill
Overview
The Live API enables low-latency, real-time voice and video interactions with Gemini over WebSockets. It processes continuous streams of audio, video, or text to deliver immediate, human-like spoken responses.
Key capabilities:
- Bidirectional audio streaming — real-time mic-to-speaker conversations
- Video streaming — send camera/screen frames alongside audio
- Text input/output — send and receive text within a live session
- Audio transcriptions — get text transcripts of both input and output audio
- Voice Activity Detection (VAD) — automatic interruption handling
- Native audio — thinking (with configurable
thinkingLevel) - Function calling — synchronous tool use
- Google Search grounding — ground responses in real-time search results
- Session management — context compression, session resumption, GoAway signals
- Ephemeral tokens — secure client-side authentication
[!NOTE] The Live API currently only supports WebSockets. For WebRTC support or simplified integration, use a partner integration.
Models
gemini-3.1-flash-live-preview— Optimized for low-latency, real-time dialogue. Native audio output, thinking (viathinkingLevel). 128k context window. This is the recommended model for all Live API use cases.gemini-3.5-live-translate-preview— Real-time streaming translation model.
[!WARNING] The following Live API models are deprecated and will be shut down. Migrate to
gemini-3.1-flash-live-preview.
gemini-2.5-flash-native-audio-preview-12-2025— Migrate togemini-3.1-flash-live-preview.gemini-live-2.5-flash-preview— Released June 17, 2025. Shutdown: December 9, 2025.gemini-2.0-flash-live-001— Released April 9, 2025. Shutdown: December 9, 2025.
SDKs
- Python:
google-genai—pip install google-genai - JavaScript/TypeScript:
@google/genai—npm install @google/genai
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.
- 1mo ago First seen · 329 lines · 88 tokens per session scan A 1396697274f2
gemini-live-api-dev is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed 11d ago), licensed MIT. It adds 88 tokens to every session and 3,417 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to gemini-live-api-dev, differing in 162 lines, and is treated as a copy.
Other skills, from other repositories
gemini-api-dev
The Gemini API provides access to Google's most advanced AI models. Key capabilities include.
gemini-api-integration
Use when integrating Google Gemini API into projects. Covers model selection, multimodal inputs, streaming, function calling, and production best practices.
claude-api
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports anthropic/@anthropic-ai/sdk; user asks for…
prompt-engineering
Universal prompt engineering techniques for any LLM. Use when crafting, optimizing, or reviewing prompts for AI models. Triggers on requests like "improve this prompt", "write a system prompt", "optimize my instructions", "help me prompt engineer", "audit this prompt", "review my prompt", or when building agentic…
voice-ai-realtime-agent
Expert guide for Ultra-Low Latency Conversational Voice AI (<300ms), WebRTC bidirectional streaming, OpenAI Realtime API, Gemini Multimodal Live Audio, LiveKit Agents, and Semantic VAD / Panduan ahli AI suara percakapan real-time berlatensi ultra-rendah.
laravel-expert
Laravel & PHP Development Instructions for GitHub Copilot.