← Back to Skills Marketplace
274
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install g0atbot-fitness-recipes
Description
AI tool that creates viral fitness recipe videos with AI-generated images, voiceovers, renders, and optional TikTok auto-posting.
README (SKILL.md)
Fitness Recipes AI
AI-powered TikTok video generator for fitness content. Creates viral recipe videos from a database, generates AI images via fal.ai, adds voiceover with ElevenLabs, renders video with Shotstack, and posts to TikTok.
What It Does
- Maintains a recipe database (or fetches from source)
- Generates AI food images using fal.ai
- Creates voiceover scripts and generates audio with ElevenLabs
- Renders complete videos using Shotstack API
- Posts to TikTok via Postiz (optional) or exports for manual upload
Setup
Prerequisites
- fal.ai API Key - Get at https://fal.ai
- ElevenLabs API Key - Get at https://elevenlabs.io
- Shotstack API Key - Get at https://shotstack.io
- Postiz API Key (optional) - For auto-posting to TikTok
Environment Variables
export FAL_API_KEY="your_fal_key"
export ELEVENLABS_API_KEY="your_elevenlabs_key"
export SHOTSTACK_API_KEY="your_shotstack_key"
export POSTIZ_API_KEY="your_postiz_key" # optional
Installation
pip install requests
Usage
Generate a single video
python generate_videos.py --recipe "Chicken Breast Recipe" --output my_video.mp4
Run daily batch
python daily_batch.py --count 10
Custom pipeline
from run_pipeline import Pipeline
pipeline = Pipeline()
video_path = pipeline.run(recipe_name="Keto Salmon", style="fitness")
Configuration
Edit config.py or set environment variables:
DEFAULT_VOICE- ElevenLabs voice IDVIDEO_QUALITY- 1080p or 720pOUTPUT_DIR- Where videos are saved
Cost Per Video
| Component | Cost |
|---|---|
| fal.ai image | ~$0.01 |
| ElevenLabs voice | ~$0.02 |
| Shotstack render | ~$0.10 |
| Total | ~$0.13 |
Example Output
Videos are saved to output/ directory with format:
{recipe_name}_{timestamp}.mp4
Files
generate_videos.py- Main video generatorrun_pipeline.py- Full pipeline orchestratorfal_client.py- Image generationelevenlabs_client.py- Voice generationshotstack_client.py- Video renderingdaily_batch.py- Batch processor
Usage Guidance
Do not run this skill as-is. Before installing or executing it: 1) Treat any hardcoded secret as compromised — rotate the exposed ElevenLabs key immediately if it's yours and remove secrets from code. 2) Request a corrected package that: removes hardcoded keys, documents and installs required system binaries (ffmpeg) and Python packages (Pillow, requests), and uses environment variables consistently. 3) Fix the syntax/implementation errors (malformed JSON/payload in fal_client.py and TODO stubs). 4) Remove or parameterize hardcoded absolute paths and avoid cron examples that run as root; let users choose install/output directories. 5) If you intend to auto-post to TikTok, verify the Postiz integration and limit token scope. If the publisher cannot address these issues or you can't audit the code yourself, avoid installing or running this skill and prefer a vetted alternative.
Capability Analysis
Type: OpenClaw Skill
Name: g0atbot-fitness-recipes
Version: 1.0.0
The skill bundle contains a hardcoded ElevenLabs API key (sk_64a3...) in 'create_videos.py', which is a significant security risk and potential credential leak. Additionally, 'shotstack_client.py' attempts to pass local filesystem paths to a remote API using 'file://' URIs, which is a functional vulnerability (potential SSRF or path disclosure) if the remote service attempts to resolve them. While the code aligns with the stated purpose of video generation, these high-risk coding practices warrant a suspicious classification.
Capability Assessment
Purpose & Capability
Name/description claim a video-generation pipeline using fal.ai, ElevenLabs, Shotstack and optional TikTok posting — the code does implement those components. However there are mismatches: several files call ffmpeg and Pillow (PIL) but SKILL.md only instructs `pip install requests`. _meta.json lists required env vars but create_videos.py embeds a hardcoded ElevenLabs API key and uses an absolute OUTPUT_DIR (/Users/...), while other files use Path.home()/clawd. The skill asks for no required binaries in registry metadata but relies on ffmpeg and cron examples, which is inconsistent.
Instruction Scope
SKILL.md instructs setting FAL/ELEVENLABS/SHOTSTACK env vars and a simple pip install of requests. The code, however, reads env vars in some modules but also hardcodes a secret in create_videos.py. The instructions don't document required system binaries (ffmpeg) or Python packages (Pillow). Some modules attempt network requests to external services and write to user's home directories and hardcoded paths; daily_batch.py suggests running as root in a cron entry. There are also TODOs and placeholder implementations in several files, and one module (fal_client.py) contains a malformed JSON payload line (syntax error), indicating the skill's runtime behavior is inconsistent with the documentation.
Install Mechanism
This is an instruction-only skill (no installer) which is lower risk from arbitrary downloads. However, the code writes files beneath the user's home dir and expects external system tools (ffmpeg) and packages (Pillow) that are not declared. Missing installation guidance for binaries is a usability and safety concern (scripts call ffmpeg via subprocess).
Credentials
SKILL.md and _meta.json declare FAL_API_KEY, ELEVENLABS_API_KEY, and SHOTSTACK_API_KEY (plus optional POSTIZ). Those env vars are appropriate for the described integration, but create_videos.py embeds an explicit ElevenLabs API key in source — a clear secret leak and inconsistency (some files use env vars, one file ignores them). The hardcoded key is disproportionate and dangerous: if it's valid, it exposes an account and allows unauthorized use; even if stale, embedding secrets in source is insecure. The number of env vars is reasonable for the purpose, but credential handling is sloppy.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and is user-invocable. It does suggest adding a cron job (daily_batch) which is a user action; this is not an automatic privilege escalation by the skill itself.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install g0atbot-fitness-recipes - After installation, invoke the skill by name or use
/g0atbot-fitness-recipes - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Fitness Recipes AI 1.0.0 – Initial Release
- Launches an AI-powered tool to create viral fitness recipe videos for TikTok.
- Automates image generation (fal.ai), voiceover (ElevenLabs), video rendering (Shotstack), and TikTok posting (Postiz or manual export).
- Supports batch and single-video creation workflows.
- Includes configuration options for voice, quality, and output location.
- Documents setup requirements, API keys, and estimated per-video costs.
Metadata
Frequently Asked Questions
What is Fitness Recipes AI?
AI tool that creates viral fitness recipe videos with AI-generated images, voiceovers, renders, and optional TikTok auto-posting. It is an AI Agent Skill for Claude Code / OpenClaw, with 274 downloads so far.
How do I install Fitness Recipes AI?
Run "/install g0atbot-fitness-recipes" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Fitness Recipes AI free?
Yes, Fitness Recipes AI is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Fitness Recipes AI support?
Fitness Recipes AI is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Fitness Recipes AI?
It is built and maintained by G0atfac3 (@g0atfac3); the current version is v1.0.0.
More Skills