Belt
Use the belt CLI — run 250+ 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.
- Skill ID
- belt-sh/cli/belt
- Publisher
- belt-sh
- Repository
- cli
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
belt-sh/cli/beltInstalls these files- SKILL.md
What this skill tells the agent
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 --versionif 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.shthe 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 reviewauthenticate
belt login
belt meset up agent integration
belt plugin init claude # claude code
belt plugin init codex # openai codex
belt plugin init cursor # cursorquick 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 creditscommon 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.jsonfile 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-readablemulti-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-demandmcp 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 --jsontips
belt app samplegenerates ready-to-edit input json from the app schema- file fields show
./your-file.jpgin samples — just replace with your actual file path belt suggestsearches apps, skills, and knowledge in one callbelt task cost <task-id>shows actual cost after a runbelt app run --no-waitsubmits without blocking,belt task get <id>to check later- use
--session newfor 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
Use this skill in a project
Open any RiverX project, search the Skills panel for belt-sh/cli/belt, and install it in one click.
