安全扫描（ClawHub）

• VirusTotal ：良性
• OpenClaw ：可疑

OpenClaw 评估

The skill's behavior (calling fal.ai APIs and saving generated media) matches its description, but there are small inconsistencies in the metadata and undeclared environment usage you should verify before installing.

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「fal」。简介：Search, explore, and run fal.ai generative AI models (image generation, video, …。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/apekshik/fal/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
name: fal
version: 1.0.1
description: Search, explore, and run fal.ai generative AI models (image generation, video, audio, 3D). Use when user wants to generate images, videos, or other media with AI models.
allowed-tools: Bash(curl *), Bash(jq *), Bash(mkdir *), Read, Write
argument-hint: "<command> [model_id] [--param value]"
---

# fal.ai Model API Skill

Run 1000+ generative AI models on fal.ai.

## Arguments

- **Command:** `$0` (search | schema | run | status | result | upload)
- **Arg 1:** `$1` (model_id, search query, or file path)
- **Arg 2+:** `$2`, `$3`, etc. (additional parameters)
- **All args:** `$ARGUMENTS`

## Session Output

Save generated files to session folder:
```bash
mkdir -p ~/.fal/sessions/${CLAUDE_SESSION_ID}
```

Downloaded images/videos go to: `~/.fal/sessions/${CLAUDE_SESSION_ID}/`

---

## Authentication

Requires `FAL_KEY` environment variable. If requests fail with 401, tell user:
```
Get an API key from https://fal.ai/dashboard/keys
Then: export FAL_KEY="your-key-here"
```

---

## Command: `$0`

### If $0 = "search"

Search for models matching `$1`:

```bash
curl -s "https://api.fal.ai/v1/models?q=$1&limit=15" 
  -H "Authorization: Key $FAL_KEY" | jq -r '.models[] | "• (.endpoint_id) — (.metadata.display_name) [(.metadata.category)]"'
```

For category search, use:
```bash
curl -s "https://api.fal.ai/v1/models?category=$1&limit=15" 
  -H "Authorization: Key $FAL_KEY" | jq -r '.models[] | "• (.endpoint_id) — (.metadata.display_name)"'
```

Categories: `text-to-image`, `image-to-video`, `text-to-video`, `image-to-3d`, `training`, `speech-to-text`, `text-to-speech`

---

### If $0 = "schema"

Get input schema for model `$1`:

```bash
curl -s "https://api.fal.ai/v1/models?endpoint_id=$1&expand=openapi-3.0" 
  -H "Authorization: Key $FAL_KEY" | jq '.models[0].openapi.components.schemas.Input.properties'
```

Show required vs optional fields to help user understand what inputs are needed.

---

### If $0 = "run"

Run model `$1` with parameters from remaining arguments.

**Step 1: Parse parameters**
Extract `--key value` pairs from `$ARGUMENTS` after the model_id to build JSON payload.

Example: `/fal run fal-ai/flux-2 --prompt "a cat" --image_size landscape_16_9`
→ Model: `fal-ai/flux-2`
→ Payload: `{"prompt": "a cat", "image_size": "landscape_16_9"}`

**Step 2: Submit to queue**
```bash
curl -s -X POST "https://queue.fal.run/$1" 
  -H "Authorization: Key $FAL_KEY" 
  -H "Content-Type: application/json" 
  -d '<JSON_PAYLOAD>'
```

**Step 3: Poll until complete**
```bash
# Get request_id from response, then poll:
while true; do
  STATUS=$(curl -s "https://queue.fal.run/$1/requests/$REQUEST_ID/status" 
    -H "Authorization: Key $FAL_KEY" | jq -r '.status')
  echo "Status: $STATUS"
  if [ "$STATUS" = "COMPLETED" ]; then break; fi
  if [ "$STATUS" = "FAILED" ]; then echo "Job failed"; break; fi
  sleep 3
done
```

**Step 4: Get result and save**
```bash
# Fetch result
RESULT=$(curl -s "https://queue.fal.run/$1/requests/$REQUEST_ID" 
  -H "Authorization: Key $FAL_KEY")

# Create session output folder
mkdir -p ~/.fal/sessions/${CLAUDE_SESSION_ID}

# Download images/videos
# For images: jq -r '.images[0].url' and curl to download
# Save as: ~/.fal/sessions/${CLAUDE_SESSION_ID}/<timestamp>_<model>.png
```

---

### If $0 = "status"

Check status of request `$2` for model `$1`:

```bash
curl -s "https://queue.fal.run/$1/requests/$2/status?logs=1" 
  -H "Authorization: Key $FAL_KEY" | jq '{status: .status, queue_position: .queue_position, logs: .logs}'
```

---

### If $0 = "result"

Get result of completed request `$2` for model `$1`:

```bash
curl -s "https://queue.fal.run/$1/requests/$2" 
  -H "Authorization: Key $FAL_KEY" | jq '.'
```

---

### If $0 = "upload"

Upload file `$1` to fal CDN:

```bash
curl -s -X POST "https://fal.run/fal-ai/storage/upload" 
  -H "Authorization: Key $FAL_KEY" 
  -F "file=@$1"
```

Returns URL to use in model requests.

---

## Quick Reference

**Popular models:**
- `fal-ai/flux-2` — Fast text-to-image
- `fal-ai/flux-2-pro` — High quality text-to-image
- `fal-ai/kling-video/v2/image-to-video` — Image to video
- `fal-ai/minimax/video-01/image-to-video` — Image to video
- `fal-ai/whisper` — Speech to text

**Common parameters for text-to-image:**
- `--prompt "description"` — What to generate
- `--image_size landscape_16_9` — Aspect ratio (square, portrait_4_3, landscape_16_9)
- `--num_images 1` — Number of images

**Example invocations:**
- `/fal search video` — Find video models
- `/fal schema fal-ai/flux-2` — See input options
- `/fal run fal-ai/flux-2 --prompt "a sunset over mountains"`
- `/fal status fal-ai/flux-2 abc-123`
- `/fal upload ./photo.png`