mcpbeat

Agent Tools

aiskillstore/agent-tools

Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

19k tokens
context cost
the whole folder, loaded on every use
6
files
instructions only
0
copies elsewhere
how many repositories repackaged it
404
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/aiskillstore/marketplace --skill agent-tools

What comes with it

69 936 bytes besides the instruction
references/app-discovery.md
references/authentication.md
references/cli-reference.md
references/running-apps.md
skill-report.json

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

9 sections, as written by the author

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

inference.sh

Run AI apps in the cloud with a simple CLI. No GPU required.

!inference.sh

Install CLI

curl -fsSL https://cli.inference.sh | sh
belt login

> What does the installer do? The install script detects your OS and architecture, downloads the correct binary from dist.inference.sh, verifies its SHA-256 checksum, and places it in your PATH. That's it — no elevated permissions, no background processes, no telemetry. If you have cosign installed, the installer also verifies the Sigstore signature automatically.

>

> Manual install (if you prefer not to pipe to sh):

> `bash

> # Download the binary and checksums

> curl -LO https://dist.inference.sh/cli/checksums.txt

> curl -LO $(curl -fsSL https://dist.inference.sh/cli/manifest.json | grep -o '"url":"[^"]*"' | grep $(uname -s | tr A-Z a-z)-$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/') | head -1 | cut -d'"' -f4)

> # Verify checksum

> sha256sum -c checksums.txt --ignore-missing

> # Extract and install

> tar -xzf inferencesh-cli-*.tar.gz

> mv inferencesh-cli-* ~/.local/bin/inferencesh

> `

Quick Examples

# Generate an image
belt app run falai/flux-dev-lora --input '{"prompt": "a cat astronaut"}'

# Generate a video
belt app run google/veo-3-1-fast --input '{"prompt": "drone over mountains"}'

# Call Claude
belt app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'

# Web search
belt app run tavily/search-assistant --input '{"query": "latest AI news"}'

# Post to Twitter
belt app run x/post-tweet --input '{"text": "Hello from AI!"}'

# Generate 3D model
belt app run infsh/rodin-3d-generator --input '{"prompt": "a wooden chair"}'

Local File Uploads

The CLI automatically uploads local files when you provide a path instead of a URL:

# Upscale a local image
belt app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}'

# Image-to-video from local file
belt app run falai/wan-2-5-i2v --input '{"image": "./my-image.png", "prompt": "make it move"}'

# Avatar with local audio and image
belt app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/speech.mp3", "image": "/path/to/face.jpg"}'

# Post tweet with local media
belt app run x/post-create --input '{"text": "Check this out!", "media": "./screenshot.png"}'

Commands

| Task | Command |

|------|---------|

| Browse the app store | belt app store |

| Search apps | belt app store search "flux" |

| Filter by category | belt app store --category image |

| Get app details | belt app get google/veo-3-1-fast |

| Generate sample input | belt app sample google/veo-3-1-fast --save input.json |

| Run app | belt app run google/veo-3-1-fast --input input.json |

| Run without waiting | belt app run <app> --input input.json --no-wait |

| Check task status | belt task get <task-id> |

What's Available

| Category | Examples |

|----------|----------|

| Image | FLUX, Gemini 3 Pro, Grok Imagine, Seedream 4.5, Reve, Topaz Upscaler |

| Video | Veo 3.1, Seedance 1.5, Wan 2.5, OmniHuman, Fabric, HunyuanVideo Foley |

| LLMs | Claude Opus/Sonnet/Haiku, Gemini 3 Pro, Kimi K2, GLM-4, any OpenRouter model |

| Search | Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract |

| 3D | Rodin 3D Generator |

| Twitter/X | post-tweet, post-create, dm-send, user-follow, post-like, post-retweet |

| Utilities | Media merger, caption videos, image stitching, audio extraction |

# Image generation (FLUX, Gemini, Grok, Seedream)
npx skills add inference-sh/skills@ai-image-generation

# Video generation (Veo, Seedance, Wan, OmniHuman)
npx skills add inference-sh/skills@ai-video-generation

# LLMs (Claude, Gemini, Kimi, GLM via OpenRouter)
npx skills add inference-sh/skills@llm-models

# Web search (Tavily, Exa)
npx skills add inference-sh/skills@web-search

# AI avatars & lipsync (OmniHuman, Fabric, PixVerse)
npx skills add inference-sh/skills@ai-avatar-video

# Twitter/X automation
npx skills add inference-sh/skills@twitter-automation

# Model-specific
npx skills add inference-sh/skills@flux-image
npx skills add inference-sh/skills@google-veo

# Utilities
npx skills add inference-sh/skills@image-upscaling
npx skills add inference-sh/skills@background-removal

Reference Files

  • Authentication & Setup
  • Discovering Apps
  • Running Apps
  • CLI Reference

Documentation

How to use it

Copy the folder

Take aiskillstore/agent-tools from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.