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Install in OpenClaw
/install fal-ai
Description
Generate images, videos, and audio via fal.ai API (FLUX, SDXL, Whisper, etc.)
Usage Guidance
Install only if you are comfortable giving the skill a fal.ai API key and sending prompts, image URLs, audio URLs, and generation parameters to fal.ai. Use a dedicated or revocable key where possible, monitor credit usage, and avoid submitting secrets, personal data, or regulated content unless fal.ai processing is acceptable for your use case.
Capability Analysis
Type: OpenClaw Skill
Name: fal-ai
Version: 0.1.0
The skill is designed to interact with the fal.ai API for generative media. It retrieves the API key from environment variables or `clawdbot` configuration, which is a standard and expected practice for OpenClaw skills. All network requests are directed to the legitimate `https://queue.fal.run` endpoint, and user inputs like prompts are sent as data to this API, not executed locally. The use of `subprocess.run` in `fal_api.py` is limited to safely retrieving configuration from `clawdbot` and does not pose a command injection risk. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection against the agent.
Capability Assessment
Purpose & Capability
The capability matches the stated purpose: the Python helper submits image, video, and audio jobs to fal.ai's queue API and can target several documented model endpoints; this may consume fal.ai quota or credits.
Instruction Scope
The instructions are setup and usage documentation only, with no hidden agent-control, prompt override, unsafe automatic execution, or unrelated behavior.
Install Mechanism
No dependency installation or installer script is present; the package contains markdown metadata and a stdlib-only Python helper.
Credentials
The requested FAL_KEY and outbound calls to https://queue.fal.run are proportionate to the API-client purpose, but prompts, media URLs, and related payload data leave the local environment.
Persistence & Privilege
No persistence, background worker, privilege escalation, destructive file access, or broad local indexing was found; subprocess use is limited to a fixed clawdbot config lookup.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install fal-ai - After installation, invoke the skill by name or use
/fal-ai - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
fal-ai 0.1.0 changelog:
- Initial release of the fal.ai API skill.
- Supports generation of images (FLUX, SDXL, Recraft), videos (MiniMax, WAN), and audio transcripts (Whisper).
- Async queue-based generation with simple submit–poll–result workflow.
- 600+ model endpoints supported; easy listing of available models.
- No external dependencies required (stdlib only, no fal_client).
- API key setup via environment variable or config command.
Metadata
Frequently Asked Questions
What is Fal.ai API?
Generate images, videos, and audio via fal.ai API (FLUX, SDXL, Whisper, etc.). It is an AI Agent Skill for Claude Code / OpenClaw, with 4939 downloads so far.
How do I install Fal.ai API?
Run "/install fal-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Fal.ai API free?
Yes, Fal.ai API is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Fal.ai API support?
Fal.ai API is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Fal.ai API?
It is built and maintained by agmmnn (@agmmnn); the current version is v0.1.0.
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