Borrowing it
Nothing to install: this file belongs to mikeOnBreeze/cc-crossbeam. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mikeOnBreeze/cc-crossbeam/main/.claude/skills/fal-ai/SKILL.mdgit clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeamWrote 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/mikeonbreeze/cc-crossbeam/fal-ai)<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/fal-ai"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/fal-ai/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/mikeonbreeze/cc-crossbeam/fal-ai"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/fal-ai.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 | $0.00096 | $0.02017 |
| Opus 5 | $0.00048 | $0.01009 |
| Sonnet 5 | $0.00019 | $0.00403 |
| Haiku 4.5 | $0.00010 | $0.00202 |
Grade A, and why
fal-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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fal.ai Media Generation
Generate AI videos from images and AI voiceovers from text using Fal.ai's API.
Capabilities:
- Image-to-Video: Generate video clips from static images (see below)
- Text-to-Speech: Generate voiceovers using ElevenLabs voices (see TTS section)
Prerequisites
This skill requires a FAL_API_KEY in the project's .env or .env.local file:
FAL_API_KEY=your_api_key_here
To obtain an API key, visit: https://fal.ai/dashboard/keys
Primary Capability: Image-to-Video
Generate video clips from static images using scripts/image_to_video.py:
python scripts/image_to_video.py image.png \
--prompt "camera slowly pans right, gentle motion"
Parameters:
image(required): Path to input image or URL--prompt,-p: Motion/action description for the video--model,-m: Video model to use (default: kling)--output,-o: Output directory or file path (default: current directory)--duration,-d: Video duration in seconds (model-dependent, typically 5-10)
Model Selection Strategy
Video generation is expensive. Follow this workflow:
- Iterate with cheap models (Wan/Kling) - Perfect your prompts at $0.05-0.07/sec
- Test with Veo Fast - Verify quality improvement at $0.15/sec
- Final render with Veo Standard - Premium output at $0.40/sec
Quick Model Reference (January 2026)
| Flag | Model | Price/sec | 5-sec Cost | Best For |
|---|---|---|---|---|
wan |
Wan 2.5 | $0.05 | $0.25 | Cheapest iteration |
kling |
Kling 2.5 Turbo Pro | $0.07 | $0.35 | Best value (default) |
veo-fast |
Veo 3.1 Fast | $0.15 | $0.75 | Quality test |
veo |
Veo 3.1 Standard | $0.40 | $2.00 | Premium final |
For detailed model comparison, strengths/weaknesses, and latest updates, see references/api_reference.md.
Usage Examples
Basic video generation (default Kling model):
python scripts/image_to_video.py photo.png \
--prompt "gentle breeze moves the leaves, soft lighting"
What ships with it
6 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.
- 12d ago First seen · 219 lines · 0 tokens per session scan A fc226c854fde
fal-ai is a skill published in the GitHub repository mikeOnBreeze/cc-crossbeam (291 stars, last pushed 6mo ago), licensed MIT. It adds 96 tokens to every session and 2,017 once invoked, about $0.0005 per session on Opus 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.
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