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Toast
by
aiwithabidi
· GitHub ↗
· v1.0.0
282
Downloads
0
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1
Active Installs
1
Versions
Install in OpenClaw
/install toast
Description
Toast — restaurant POS, orders, menus, employees, revenue centers, and reporting.
Usage Guidance
This skill appears to be a straightforward Toast API CLI. Before installing: 1) Be prepared to provide TOAST_API_KEY and TOAST_RESTAURANT_GUID (use a scoped API key with minimal permissions). 2) Note the script will try a fallback .env at $WORKSPACE or ~/.openclaw/workspace/.env — ensure that file does not contain unrelated secrets you don't want the skill to read. 3) The homepage/publisher (agxntsix.ai / M. Abidi) is not Toast's official domain; if you require vendor trust, verify the author or review the included scripts yourself (the full Python source is bundled). 4) If you want to restrict exposure, run the script in an environment that only contains the Toast credentials and no other secrets.
Capability Analysis
Type: OpenClaw Skill
Name: toast
Version: 1.0.0
The skill bundle is a standard CLI wrapper for the Toast POS API, providing functionality to manage orders, menus, and employee data. The code in scripts/toast.py uses only the Python standard library, communicates exclusively with the official Toast API endpoint (api.toasttab.com), and follows expected patterns for credential management within the OpenClaw ecosystem.
Capability Assessment
Purpose & Capability
The name/description match the code and SKILL.md: the included Python CLI calls api.toasttab.com and exposes commands for orders, menus, employees, revenue centers, and restaurant info. The two required env vars (TOAST_API_KEY, TOAST_RESTAURANT_GUID) are exactly what the API client needs.
Instruction Scope
SKILL.md describes running the bundled scripts and JSON output. The CLI code will also attempt to read credentials from a .env file at WORKSPACE (or default ~/.openclaw/workspace/.env) if the environment variables are not set. That behavior is reasonable for credential lookup but is not documented in SKILL.md and therefore worth noting.
Install Mechanism
No install or remote download steps are present. The skill is instruction-only with a local script that uses only the Python standard library.
Credentials
The skill declares only TOAST_API_KEY (primary) and TOAST_RESTAURANT_GUID which are appropriate. The code also reads the WORKSPACE env var (to locate a .env file) and may load values from ~/.openclaw/workspace/.env; WORKSPACE is not declared in requires.env, so callers should be aware the script uses it as a fallback.
Persistence & Privilege
The skill does not request permanent presence (always: false), does not modify other skills or system configs, and runs as a plain CLI tool. Autonomous invocation is allowed by default but not excessive here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install toast - After installation, invoke the skill by name or use
/toast - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the Toast skill for restaurant POS integration.
- Provides CLI commands to list and get details for orders, menus, employees, revenue centers, tables, and dining options.
- All commands output JSON by default.
- Requires environment variables: TOAST_API_KEY and TOAST_RESTAURANT_GUID.
- No external dependencies; compatible with Python 3.10+ (stdlib only).
Metadata
Frequently Asked Questions
What is Toast?
Toast — restaurant POS, orders, menus, employees, revenue centers, and reporting. It is an AI Agent Skill for Claude Code / OpenClaw, with 282 downloads so far.
How do I install Toast?
Run "/install toast" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Toast free?
Yes, Toast is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Toast support?
Toast is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Toast?
It is built and maintained by aiwithabidi (@aiwithabidi); the current version is v1.0.0.
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