belt

SkillSearch

Use the belt CLI, run hundreds of AI apps, manage knowledge, search skills, connect MCP servers. Purpose-built CLI interface for agent workflows, typed inputs, schema validation, no raw API calls needed.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the belt skill

What this skill tells your AI

The instructions your AI receives, as published by belt-sh/cli in .agents/skills/belt/SKILL.md and read by ahel’s review.

belt cli

belt is the cloud platform cli for ai agents. single ~4mb binary, no runtime dependencies.

using a purpose-built cli means your agent operates through a constrained, typed interface instead of writing raw curl commands or sdk calls. every operation goes through schema validation — fewer tokens, fewer errors, and no credential leakage.

install

first check if belt is already installed:

which belt && belt --version

if already installed, skip to authenticate.

package managers (recommended — verified through each registry's trust chain):

brew install inference-sh/tap/belt            # macos / linux (homebrew tap, signed)
scoop bucket add belt https://github.com/belt-sh/scoop-belt && scoop install belt  # windows
npm install -g @inferencesh/belt              # node.js (global install, pinned in package.json)

manual install (full control — download, verify, then run):

curl -fsSL https://cli.inference.sh -o /tmp/belt-install.sh

the installer is a short, readable shell script. it detects your os and architecture, downloads the matching binary from dist.inference.sh, verifies the binary's sha-256 checksum against the published manifest, and places it in your path. no elevated permissions required. the installer source is publicly readable — review it before running:

cat /tmp/belt-install.sh   # review the script
sh /tmp/belt-install.sh    # run after review

authenticate

belt login
belt me

set up agent integration

belt plugin init claude     # claude code
belt plugin init codex      # openai codex
belt plugin init cursor     # cursor

quick start

belt suggest "what tool should i use"  # unified search across apps, skills, knowledge
belt app store                         # browse ai apps
belt app store --category video        # filter by category
belt app get <namespace/name>          # see schema, pricing, functions
belt app sample <namespace/name>       # generate sample input json
belt app run <namespace/name> --input input.json  # run an app
belt balance                           # check credits

common workflows

image and video generation:

belt app get bytedance/seedance-2-0           # check schema — file fields accept local paths
belt app sample bytedance/seedance-2-0 --save input.json
# edit input.json, then:
belt app run bytedance/seedance-2-0 --input input.json

file fields (type: file in schema) accept local paths directly — the cli auto-uploads them:

belt app run bytedance/seedance-2-0 --input '{"image": "./photo.jpg", "prompt": "make it cinematic"}'

check pricing before running:

belt app pricing <namespace/name>             # see cost formula
belt app pricing <namespace/name> --json      # machine-readable

multi-function apps (e.g. apps with list_voices, list_resources, etc.):

belt app get heygen/avatar-video              # shows all functions with schemas
belt app sample heygen/avatar-video -f list_resources   # sample for a specific function
belt app run heygen/avatar-video -f list_resources --input '{}'

knowledge and skills:

belt knowledge list --json                    # your knowledge entries
belt knowledge search "react patterns"        # semantic search
belt skill list                               # your skills
belt skill store search "video"               # find skills in the store
belt skill use <namespace/name>               # load a skill on-demand

mcp connectors:

belt mcp list                                 # browse available connectors
belt mcp connect slack                        # connect one
belt mcp run slack send_message --input '{"channel": "#general", "text": "hello"}'

machine-readable output:

all list commands support --json for structured output:

belt app list --json
belt app store --json
belt task list --json
belt knowledge list --json
belt skill list --json
belt mcp list --json
belt secrets list --json
belt me --json
belt balance --json

tips

  • belt app sample generates ready-to-edit input json from the app schema
  • file fields show ./your-file.jpg in samples — just replace with your actual file path
  • belt suggest searches apps, skills, and knowledge in one call
  • belt task cost <task-id> shows actual cost after a run
  • belt app run --no-wait submits without blocking, belt task get <id> to check later
  • use --session new for stateful apps that keep gpu warm between calls

disable hooks for a project

# .beltsh/config.json
{"hooks_disabled": true}

or set BELT_NO_HOOKS=1 in your environment.

links

belt.sh · docs · trust · source

Signals

GitHub stars
7
Last commit
Sep 2026

ahel review

  • K1binfo
    installs-packages

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Item type
skill
Key
cli-belt
Source
github.com/belt-sh/cli