appointo

appointo is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 118 tokens per session (1,363 once invoked), scanned A, original, MIT.

A connection for managing Appointo, an online booking service for websites and online stores.

In plain words
What is it for?
Use it to manage availability, bookings, payments, reminders, calendars, video meetings, and messaging integrations.
Why use it?
It helps handle appointment scheduling work without manually moving between the agent and the booking system.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/withoneai/one-agent-plugin/appointo
Any agent
npx skills add withoneai/one-agent-plugin --skill appointo
Clone the repo
git clone --depth 1 https://github.com/withoneai/one-agent-plugin

Made for: Claude Code, Codex.

Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,363 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00118 $0.01363
Opus 5 $0.00059 $0.00681
Sonnet 5 $0.00024 $0.00273
Haiku 4.5 $0.00012 $0.00136

Measured 2d ago against content hash de6f723aceb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

appointo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

platforms/one-appointo/skills/appointo/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Appointo through One

Appointo is an online appointment scheduling platform that enables businesses to add no-code booking to websites or e-commerce stores, manage staff availability, accept payments, automate reminders, and integrate with calendars, Zoom, and messaging for streamlined scheduling workflows.

One exposes Appointo through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.

How to run an action

  1. Find the action in the table below, or call search_one_platform_actions with platform appointo if it is not listed.
  2. Call get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
  3. Call execute_one_action with parameters copied from that knowledge.

Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.

Before you start

Call list_one_integrations once and confirm Appointo is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.

Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.

Before a write

Creates, updates, deletes and sends land on a real Appointo account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.

Actions

Bookings

Action Method Path Action id
Get Bookings GET /api/bookings conn_mod_def::GMiNtnOCa4g::-M4xh3-CTkaP9XRo-ybKsA
Cancel Booking PUT /api/bookings/cancel conn_mod_def::GMiNtx5MezA::A1U5KfVGQJGXr2-qqUg8jw
Create a New Booking POST /api/bookings conn_mod_def::GMiNtvn31lg::6rkHPrKeTSW7gVvueMuPJw
Reschedule Booking PUT /api/bookings/reschedule conn_mod_def::GMiNtwt9nbg::FoZetkHTSoyIm_C1nby3TA
Update a Booking PUT /api/bookings/{{bookingId}} conn_mod_def::GMiNtvoUU1A::Xpr2OGi-S2q-AGyCHUZKkw

Read the full file on GitHub · 86 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 86 lines · 0 tokens per session scan A de6f723aceb4

Subscribe to this mod's changes

appointo is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 13d ago), licensed MIT. It adds 118 tokens to every session and 1,363 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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