google-ai

google-ai is a skill for Claude Code, Codex from manishiitg/coding-agent-loop. It costs 0 tokens per session (1,990 once invoked), scanned A, original, MIT.

A guide for generating AI video, images, and spoken narration with Google's Gemini API, including Veo video models, Gemini image models, and Gemini text-to-speech.

In plain words
What is it for?
Use it to create video, images, and narration through Google's Node.js API client.
Why use it?
It provides a Google-native option when a project requires Google's models or has Google as its configured provider.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create video, images, and narration through Google's Node.js API client.

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Install with agentmods
npx agentmods add skills/manishiitg/coding-agent-loop/google-ai
Install

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.

Any agent
npx skills add manishiitg/coding-agent-loop --skill google-ai
Clone the repo
git clone --depth 1 https://github.com/manishiitg/coding-agent-loop

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for google-ai

README.md
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Your own site
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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.

agentmods 80×15 button for google-ai

Your own site · 80×15
<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/google-ai"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/google-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,990 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.01990
Opus 5.5 $0.00000 $0.00796
Sonnet 5.5 $0.00000 $0.00398
Haiku 4.5 $0.00000 $0.00199

Measured 1mo ago against content hash 3d5d9f8b6a85, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

google-ai 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.

agent_go/internal/videoproduct/skills/google-ai/SKILL.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Google Gemini stills and narration

Google's own Gemini image generation (publicly nicknamed “Nano Banana”) and Gemini TTS are reached directly through Google's Gemini API, not through fal.ai. In Video Studio, use this skill only for optional still-image work or off-camera narration. Never generate footage with Veo, Gemini Omni, or any other Google video model: all paid video uses MiniMax H3 through fal-ai.

This skill owns the client call after the still-image or narration direction is decided. Read video-look-sound for narration choices and video-cinematography for an optional reference-image brief.

Never invent a model ID

Google image and TTS product names are not API model identifiers. Do not guess the exact model string from memory. Before the first still-image or narration call in a new production:

  1. Resolve the current Google model ID and required request shape from Google's own Gemini API reference -- not from this skill, which is deliberately silent on exact IDs and changes on Google's own schedule.
  2. Record the resolved model ID and exact request in the production record so a revision reuses the same asset setup rather than whatever is current later.

A run whose model ID cannot be confirmed is a blocker to report, not a guess to make.

Authentication

The user stores the key as a workflow secret named GEMINI_API_KEY (via set_workflow_secret) -- the same env var name this platform's own LLM provider configuration already uses for Gemini, kept consistent rather than introducing a second name for the same kind of credential. The secret-injection mechanism prefixes every secret name with SECRET_ in the shell environment, so the variable actually present is $SECRET_GEMINI_API_KEY, not $GEMINI_API_KEY. Bridge the two explicitly:

export GEMINI_API_KEY="$SECRET_GEMINI_API_KEY"
node generate.mjs

or pass it directly to the client instead of relying on ambient env:

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({
  apiKey: process.env.SECRET_GEMINI_API_KEY ?? process.env.GEMINI_API_KEY,
});

Read the full file on GitHub · 209 lines

Changes

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.

  1. 1mo ago Changed · -20 lines · -99 tokens per session 3d5d9f8b6a85
  2. 1mo ago First seen · 229 lines · 99 tokens per session scan A 29ff1940a361

Subscribe to this mod's changes

google-ai is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 19d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,990 tokens. 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.