one-integrations

one-integrations is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 95 tokens per session (1,385 once invoked), scanned A, original, MIT.

A connection that lets an agent read and change data in connected services such as Gmail, Slack, Stripe, and Salesforce. It finds the correct operation and its documented inputs before running it on a live account.

In plain words
What is it for?
It helps send messages, look up customers, retrieve invoices, create tickets, and synchronize records across connected business applications.
Why use it?
It avoids guessing how each service works and provides a structured way to check available connections and permissions before taking action.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps send messages, look up customers, retrieve invoices, create tickets, and synchronize records across connected business applications.

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Install with agentmods
npx agentmods add skills/withoneai/one-agent-plugin/one-integrations
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.

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

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for one-integrations

README.md
[![agentmods](https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/one-integrations/github.svg)](https://agentmods.dev/skills/withoneai/one-agent-plugin/one-integrations)
Your own site
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/one-integrations"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/one-integrations/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for one-integrations

Your own site · 80×15
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/one-integrations"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/one-integrations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,385 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00095 $0.01385
Opus 5.5 $0.00038 $0.00554
Sonnet 5.5 $0.00019 $0.00277
Haiku 4.5 $0.00010 $0.00138

Measured 4d ago against content hash ca5f20bcfad7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

one-integrations 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 4d 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.

skills/one-integrations/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Working with third-party apps through One

One exposes every connected app through three tools. No matter how many apps or actions the user has connected, it stays three tools, so finding is how you get to an action rather than reading a giant tool list.

Tool What it does
list_one_integrations Lists platforms and active connections, each stamped with the access it allows
find_one_actions Finds the action for every operation a task needs, across platforms, with its real documentation: parameters, types, auth, request shape
execute_one_action Runs the action against the live account

The loop

Follow it in order. Skipping a step is where these calls fail.

  1. List. Call list_one_integrations once at the start of a task. It tells you which platforms the user actually has connected and what you are allowed to run on each.
  2. Find. Call find_one_actions once for the whole task, with one requests entry per operation, on any platforms: the platform and an intent naming the operation alone ("send an email", "list paid invoices"), not its data (no IDs, names or message text). Add a task: the whole job in one line, in general terms. For each intent it returns the action to use with its documentation, sometimes actions also needed beside it, sometimes a substitute to use instead (one or the other, never both), and a few alternatives.
  3. Read the documentation of each action you will run, every time, before you execute it. This is the step agents skip and it is the step that prevents the failure. A large document comes back as a digest that names what it left out: call find_one_actions again with load: [{ "action_id": "...", "section": "..." }] for a missing section, "full": true for the whole document, or an alternative's action_id for its documentation.
  4. Execute. Call execute_one_action with parameters copied from the documentation.

Never guess parameters

The documentation find_one_actions returns has the actual schema: required fields, exact names, types, enum values, where each value belongs (path, query, body, header). Guessing a field name that looks obvious produces a 400 from the platform, or worse, a 200 that wrote the wrong thing.

Read the full file on GitHub · 79 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. 4d ago First seen · 79 lines · 95 tokens per session scan A ca5f20bcfad7

Subscribe to this mod's changes

one-integrations is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 5d ago), licensed MIT. It adds 95 tokens to every session and 1,385 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-04.

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