fal-ai-media

fal-ai-media is a skill for Claude Code, Codex from Jamkris/everything-gemini-code. It costs 78 tokens per session (1,930 once invoked), scanned B, a copy of fal-ai-media, MIT.

A unified service for creating images, videos, speech, music, and sound effects with AI through fal.ai. It also covers turning text or images into video and extracting audio from video.

In plain words
What is it for?
Use it to generate images, videos, voice or other audio, create thumbnails, produce sound effects, and build media-generation features into applications.
Why use it?
It gives developers one workflow for different media-generation tasks instead of separate model integrations. The available models and their details need to be checked because they can change.

Skill for Claude CodeCodex

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

Good fit Use it to generate images, videos, voice or other audio, create thumbnails, produce sound effects, and build media-generation features into applications.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jamkris/everything-gemini-code/fal-ai-media
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 Jamkris/everything-gemini-code --skill fal-ai-media
Clone the repo
git clone --depth 1 https://github.com/Jamkris/everything-gemini-code

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 fal-ai-media

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/fal-ai-media/github.svg)](https://agentmods.dev/skills/jamkris/everything-gemini-code/fal-ai-media)
Your own site
<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/fal-ai-media"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/fal-ai-media/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.

agentmods 80×15 button for fal-ai-media

Your own site · 80×15
<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/fal-ai-media"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/fal-ai-media.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,930 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 92% copy Near-identical to another mod 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 $0.00078 $0.01930
Opus 5 $0.00039 $0.00965
Sonnet 5 $0.00016 $0.00386
Haiku 4.5 $0.00008 $0.00193

Measured 7d ago against content hash c6f23a789e3b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

fal-ai-media scanned grade B with 2 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 7d 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

resp = requests.post( "https://api.elevenlabs.io/v1/text-to-speech/<voice_id>",

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

resp = requests.post(
Origin

This is a copy

92% identical to fal-ai-media — 56 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.

skills/fal-ai-media/SKILL.md · 289 lines

How it starts

The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.

fal.ai Media Generation

Drift-prone skill. fal.ai model IDs, pricing, inputs, and MCP tool names change quickly. Search or fetch the current model metadata before promising a specific model, parameter, output format, or cost.

Generate images, videos, and audio using fal.ai models via MCP.

When to Use

  • User wants to generate images from text prompts
  • Creating videos from text or images
  • Generating speech, music, or sound effects
  • Any media generation task
  • User says "generate image", "create video", "text to speech", "make a thumbnail", or similar

MCP Requirement

fal.ai MCP server must be configured. Add to ~/.gemini.json:

"fal-ai": {
  "command": "npx",
  "args": ["-y", "fal-ai-mcp-server"],
  "env": { "FAL_KEY": "YOUR_FAL_KEY_HERE" }
}

Get an API key at fal.ai.

MCP Tools

The fal.ai MCP provides these tools:

  • search — Find available models by keyword
  • find — Get model details and parameters
  • generate — Run a model with parameters
  • result — Check async generation status
  • status — Check job status
  • cancel — Cancel a running job
  • estimate_cost — Estimate generation cost
  • models — List popular models
  • upload — Upload files for use as inputs

Image Generation

Nano Banana 2 (Fast)

Best for: quick iterations, drafts, text-to-image, image editing.

generate(
  app_id: "fal-ai/nano-banana-2",
  input_data: {
    "prompt": "a futuristic cityscape at sunset, cyberpunk style",
    "image_size": "landscape_16_9",
    "num_images": 1,
    "seed": 42
  }
)

Nano Banana Pro (High Fidelity)

Best for: production images, realism, typography, detailed prompts.

generate(
  app_id: "fal-ai/nano-banana-pro",
  input_data: {
    "prompt": "professional product photo of wireless headphones on marble surface, studio lighting",
    "image_size": "square",
    "num_images": 1,
    "guidance_scale": 7.5
  }
)

Common Image Parameters

Param Type Options Notes
prompt string required Describe what you want
image_size string square, portrait_4_3, landscape_16_9, portrait_16_9, landscape_4_3 Aspect ratio
num_images number 1-4 How many to generate
seed number any integer Reproducibility
guidance_scale number 1-20 How closely to follow the prompt (higher = more literal)

Read the full file on GitHub · 289 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. 7d ago First seen · 289 lines · 78 tokens per session scan B c6f23a789e3b

Subscribe to this mod's changes

fal-ai-media is a skill published in the GitHub repository Jamkris/everything-gemini-code (87 stars, last pushed 3mo ago), licensed MIT. It adds 78 tokens to every session and 1,930 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). It is 92% identical to fal-ai-media, differing in 56 lines, and is treated as a copy.

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