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fal.ai

by OOMOL · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install oo-fal-ai
Description
fal.ai (fal.ai). Use this skill for ANY fal.ai request — searching and reading data. Whenever a task involves fal.ai, use this skill instead of calling the A...
README (SKILL.md)

fal.ai

Operate fal.ai through your OOMOL-connected account. This skill calls the fal_ai connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.

Category: AI, Developer Tools. Exposes 8 action(s).

Running an action

Assume the user has already installed the oo CLI, signed in, and connected fal.ai. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.

1. Inspect the contract to get the authoritative input/output schema before building a payload:

oo connector schema "fal_ai" --action "\x3Caction_name>"

2. Run the action with a JSON payload that matches the input schema:

oo connector run "fal_ai" --action "\x3Caction_name>" --data '\x3Cjson>' --json
  • --data takes a JSON object string or @path/to/file.json; omit it to send {}.
  • The response is { "data": ..., "meta": { "executionId": "..." } }; the execution id lives under meta.executionId.

Each action below links to a reference file with its purpose and exact commands. Read the linked file, then fetch the live schema with oo connector schema before constructing --data.

Available actions

  • cancel_queue_request — Request cancellation of a queued or in-progress fal request by model ID and request ID.
  • estimate_pricing — Estimate total fal model cost using either historical API call quantities or expected billing-unit quantities.
  • get_jwks — Retrieve the fal JSON Web Key Set used for webhook signature verification.
  • get_models — Discover fal model endpoints with optional text search, status, category, pagination, endpoint filtering, and response expansion.
  • get_pricing — Retrieve unit pricing information for one or more fal model endpoints, including billing unit and currency.
  • get_queue_request_result — Retrieve the stored final result payload for a completed fal queued request.
  • queue_get_status — Check the status of a queued fal request, with optional log retrieval for in-progress or completed work.
  • queue_get_status_stream — Consume fal queue status updates as a streamed sequence of SSE events until the server closes the stream.

Safety

  • Read actions (get / list / search) are safe to run directly.
  • Create, update, send, or post actions change fal.ai state — confirm the exact payload and effect with the user before running.
  • Delete or remove actions are destructive — always confirm the target and get explicit approval first.

First-time setup

These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.

  • oo: command not found — install the oo CLI (other platforms: \x3Chttps://cli.oomol.com/install-guide.md>):

    curl -fsSL https://cli.oomol.com/install.sh | bash    # macOS / Linux
    
    irm https://cli.oomol.com/install.ps1 | iex           # Windows PowerShell
    
  • Not signed in / authentication error — sign in to your OOMOL account once:

    oo auth login
    
  • scope_missing / credential_expired / app_not_ready / app_not_found — fal.ai is not connected, or the connection expired or lacks a scope. Connect once (auth type: API key) at:

    https://console.oomol.com/app-connections?provider=fal_ai
    
  • HTTP 402 / OOMOL_INSUFFICIENT_CREDIT — billing stop. Recharge at https://console.oomol.com/billing/token-recharge before retrying.

Resources

Usage Guidance
Review before installing. This does not look malicious from the available evidence, but users should understand that it can cancel fal.ai queue requests, not just search or read data. Install only if you want the agent to use this connector for fal.ai account operations, and require explicit confirmation before any cancellation or other state-changing action.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The stated purpose is framed as searching and reading fal.ai data, while the documented action set includes `cancel_queue_request`, which changes account/job state.
Instruction Scope
The trigger language covers any fal.ai request, so an agent could select the skill for broad fal.ai tasks despite the manifest presenting a narrower read/search capability.
Install Mechanism
No malicious install behavior was evidenced in the supplied telemetry; VirusTotal reported 0 malicious or suspicious detections across 63 engines.
Credentials
A fal.ai connector may reasonably need access to the user's connected fal.ai account, but state-changing queue cancellation should be clearly scoped and user-directed.
Persistence & Privilege
No evidence was supplied of hidden persistence, privilege escalation, background workers, or unrelated local data access.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install oo-fal-ai
  3. After installation, invoke the skill by name or use /oo-fal-ai
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Adds an OOMOL skill for operating fal.ai through the `fal_ai` connector with server-side credential handling. - Provides model discovery via searchable, filterable fal endpoint listing with pagination and response expansion support. - Includes pricing tools for retrieving unit costs and estimating total spend from API call counts or billing-unit quantities. - Supports queued request operations, including status checks, streamed SSE status updates, final result retrieval, and cancellation. - Adds webhook verification support by retrieving fal.ai JSON Web Key Sets. - Documents safe execution patterns, live schema inspection, and first-time setup recovery for auth, connection, and billing issues.
Metadata
Slug oo-fal-ai
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is fal.ai?

fal.ai (fal.ai). Use this skill for ANY fal.ai request — searching and reading data. Whenever a task involves fal.ai, use this skill instead of calling the A... It is an AI Agent Skill for Claude Code / OpenClaw, with 26 downloads so far.

How do I install fal.ai?

Run "/install oo-fal-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is fal.ai free?

Yes, fal.ai is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does fal.ai support?

fal.ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created fal.ai?

It is built and maintained by OOMOL (@oomol); the current version is v1.0.0.

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