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 cnemri/google-genai-skills --skill speech-buildgit clone --depth 1 https://github.com/cnemri/google-genai-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/cnemri/google-genai-skills/speech-build)<a href="https://agentmods.dev/skills/cnemri/google-genai-skills/speech-build"><img src="https://agentmods.dev/badge/skills/cnemri/google-genai-skills/speech-build/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/cnemri/google-genai-skills/speech-build"><img src="https://agentmods.dev/badge/skills/cnemri/google-genai-skills/speech-build.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 | $0.00048 | $0.00439 |
| Opus 5.5 | $0.00019 | $0.00176 |
| Sonnet 5.5 | $0.00010 | $0.00088 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
speech-build 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.
What it actually says
Speech Skill (TTS & STT)
Use this skill to implement audio generation and transcription workflows using the google-genai and google-cloud-speech SDKs.
Quick Start Setup
from google import genai
from google.genai import types
# For STT: from google.cloud import speech_v2
client = genai.Client()
Reference Materials
- Text-to-Speech (TTS): Gemini-TTS, Chirp 3 HD, Instant Custom Voice.
- Speech-to-Text (STT): Chirp 3 Transcription, Diarization, Streaming.
- Voices & Locales: Available voices (
Aoede,Puck...) and languages. - Prompting Guide: How to control style, accent, and pacing in Gemini-TTS.
- Source Code: Deep inspection of SDK internals.
Common Workflows
1. Generate Speech (Gemini-TTS)
response = client.models.generate_content(
model="gemini-2.5-flash-preview-tts",
contents="Hello, world!",
config=types.GenerateContentConfig(
response_modalities=["AUDIO"],
speech_config=types.SpeechConfig(
voice_config=types.VoiceConfig(
prebuilt_voice_config=types.PrebuiltVoiceConfig(voice_name='Kore')
)
)
)
)
2. Transcribe Audio (Chirp 3)
# Requires google-cloud-speech
from google.cloud import speech_v2
# ... (See stt.md for full setup)
response = speech_client.recognize(...)
What ships with it
5 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 · 52 lines · 48 tokens per session scan A cb5bcd9fb272
speech-build is a skill published in the GitHub repository cnemri/google-genai-skills (129 stars, last pushed 9mo ago), licensed MIT. It adds 48 tokens to every session and 439 once invoked, about $0.0002 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 2026-08-30.
speech-build compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| speech-buildcnemri/google-genai-skills | Skill | 129 | 9mo ago | MIT | A | 48 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |