Is ai-content-pipeline safe to install?

SaferSkills independently audited ai-content-pipeline (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

guides/content/ai-content-pipeline/SKILL.md · 1 file

guides/content/ai-content-pipeline/SKILL.md7.2 KB · Markdown

name: ai-content-pipeline

description: "Build multi-step AI content creation pipelines combining image, video, audio, and text. Workflow examples: generate image -> animate -> add voiceover -> merge with music. Tools: FLUX, Veo, Kokoro TTS, OmniHuman, media merger, upscaling. Use for: YouTube videos, social media content, marketing materials, automated content. Triggers: content pipeline, ai workflow, content creation, multi-step ai, content automation, ai video workflow, generate and edit, ai content factory, automated content creation, ai production pipeline, media pipeline, content at scale"

allowed-tools: Bash(belt *)

Install the belt CLI skill: npx skills add belt-sh/cli

AI Content Pipeline

Build multi-step content creation pipelines via inference.sh CLI.

AI Content Pipeline

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Simple pipeline: Generate image -> Animate to video
belt app run falai/flux-dev --input '{"prompt": "portrait of a woman smiling"}' > image.json
belt app run falai/wan-2-5 --input '{"image_url": "<url-from-previous>"}'

Pipeline Patterns

Pattern 1: Image -> Video -> Audio

[FLUX Image] -> [Wan 2.5 Video] -> [Foley Sound]

Pattern 2: Script -> Speech -> Avatar

[LLM Script] -> [Kokoro TTS] -> [OmniHuman Avatar]

Pattern 3: Research -> Content -> Distribution

[Tavily Search] -> [Claude Summary] -> [FLUX Visual] -> [Twitter Post]

Complete Workflows

YouTube Short Pipeline

Create a complete short-form video from a topic.

# 1. Generate script with Claude
belt app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Write a 30-second script about the future of AI. Make it engaging and conversational. Just the script, no stage directions."
}' > script.json

# 2. Generate voiceover with Kokoro
belt app run infsh/kokoro-tts --input '{
  "prompt": "<script-text>",
  "voice": "af_sarah"
}' > voice.json

# 3. Generate background image with FLUX
belt app run falai/flux-dev --input '{
  "prompt": "Futuristic city skyline at sunset, cyberpunk aesthetic, 4K wallpaper"
}' > background.json

# 4. Animate image to video with Wan
belt app run falai/wan-2-5 --input '{
  "image_url": "<background-url>",
  "prompt": "slow camera pan across cityscape, subtle movement"
}' > video.json

# 5. Add captions (manually or with another tool)

# 6. Merge video with audio
belt app run infsh/media-merger --input '{
  "video_url": "<video-url>",
  "audio_url": "<voice-url>"
}'

Talking Head Video Pipeline

Create an AI avatar presenting content.

# 1. Write the script
belt app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Write a 1-minute explainer script about quantum computing for beginners."
}' > script.json

# 2. Generate speech
belt app run infsh/kokoro-tts --input '{
  "prompt": "<script>",
  "voice": "am_michael"
}' > speech.json

# 3. Generate or use a portrait image
belt app run falai/flux-dev --input '{
  "prompt": "Professional headshot of a friendly tech presenter, neutral background, looking at camera"
}' > portrait.json

# 4. Create talking head video
belt app run bytedance/omnihuman-1-5 --input '{
  "image_url": "<portrait-url>",
  "audio_url": "<speech-url>"
}' > talking_head.json

Product Demo Pipeline

Create a product showcase video.

# 1. Generate product image
belt app run falai/flux-dev --input '{
  "prompt": "Sleek wireless earbuds on white surface, studio lighting, product photography"
}' > product.json

# 2. Animate product reveal
belt app run falai/wan-2-5 --input '{
  "image_url": "<product-url>",
  "prompt": "slow 360 rotation, smooth motion"
}' > product_video.json

# 3. Upscale video quality
belt app run falai/topaz-video-upscaler --input '{
  "video_url": "<product-video-url>"
}' > upscaled.json

# 4. Add background music
belt app run infsh/media-merger --input '{
  "video_url": "<upscaled-url>",
  "audio_url": "https://your-music.mp3",
  "audio_volume": 0.3
}'

Blog to Video Pipeline

Convert written content to video format.

# 1. Summarize blog post
belt app run openrouter/claude-haiku-45 --input '{
  "prompt": "Summarize this blog post into 5 key points for a video script: <blog-content>"
}' > summary.json

# 2. Generate images for each point
for i in 1 2 3 4 5; do
  belt app run falai/flux-dev --input "{
    \"prompt\": \"Visual representing point $i: <point-text>\"
  }" > "image_$i.json"
done

# 3. Animate each image
for i in 1 2 3 4 5; do
  belt app run falai/wan-2-5 --input "{
    \"image_url\": \"<image-$i-url>\"
  }" > "video_$i.json"
done

# 4. Generate voiceover
belt app run infsh/kokoro-tts --input '{
  "prompt": "<full-script>",
  "voice": "bf_emma"
}' > narration.json

# 5. Merge all clips
belt app run infsh/media-merger --input '{
  "videos": ["<video1>", "<video2>", "<video3>", "<video4>", "<video5>"],
  "audio_url": "<narration-url>",
  "transition": "crossfade"
}'

Pipeline Building Blocks

Content Generation

Step	App	Purpose
Script	`openrouter/claude-sonnet-45`	Write content
Research	`tavily/search-assistant`	Gather information
Summary	`openrouter/claude-haiku-45`	Condense content

Visual Assets

Step	App	Purpose
Image	`falai/flux-dev`	Generate images
Image	`google/imagen-3`	Alternative image gen
Upscale	`falai/topaz-image-upscaler`	Enhance quality

Animation

Step	App	Purpose
I2V	`falai/wan-2-5`	Animate images
T2V	`google/veo-3-1-fast`	Generate from text
Avatar	`bytedance/omnihuman-1-5`	Talking heads

Audio

Step	App	Purpose
TTS	`infsh/kokoro-tts`	Voice narration
Music	`infsh/ai-music`	Background music
Foley	`infsh/hunyuanvideo-foley`	Sound effects

Post-Production

Step	App	Purpose
Upscale	`falai/topaz-video-upscaler`	Enhance video
Merge	`infsh/media-merger`	Combine media
Caption	`infsh/caption-video`	Add subtitles

Best Practices

Plan the pipeline first - Map out each step before running
Save intermediate results - Store outputs for iteration
Use appropriate quality - Fast models for drafts, quality for finals
Match resolutions - Keep consistent aspect ratios throughout
Test each step - Verify outputs before proceeding

# Video generation models
npx skills add inference-sh/skills@ai-video-generation

# Image generation
npx skills add inference-sh/skills@ai-image-generation

# Text-to-speech
npx skills add inference-sh/skills@text-to-speech

# LLM models for scripts
npx skills add inference-sh/skills@llm-models

# Full platform skill
npx skills add inference-sh/skills@infsh-cli

Browse all apps: belt app store

Documentation

Content Pipeline Example - Official pipeline guide
Building Workflows - Workflow best practices

ai-content-pipeline— agent skill

Is ai-content-pipeline safe to install?

AI Content Pipeline

Quick Start

Pipeline Patterns

Pattern 1: Image -> Video -> Audio

Pattern 2: Script -> Speech -> Avatar

Pattern 3: Research -> Content -> Distribution

Complete Workflows

YouTube Short Pipeline

Talking Head Video Pipeline

Product Demo Pipeline

Blog to Video Pipeline

Pipeline Building Blocks

Content Generation

Visual Assets

Animation

Audio

Post-Production

Best Practices

Documentation

Audit the pieces. Scan the whole. Decide.

Is ai-content-pipeline safe to install?

AI Content Pipeline

Quick Start

Pipeline Patterns

Pattern 1: Image -> Video -> Audio

Pattern 2: Script -> Speech -> Avatar

Pattern 3: Research -> Content -> Distribution

Complete Workflows

YouTube Short Pipeline

Talking Head Video Pipeline

Product Demo Pipeline

Blog to Video Pipeline

Pipeline Building Blocks

Content Generation

Visual Assets

Animation

Audio

Post-Production

Best Practices

Related Skills

Documentation

Audit the pieces. Scan the whole. Decide.