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.
npx skills add withoneai/one-agent-plugin --skill one-integrationsgit clone --depth 1 https://github.com/withoneai/one-agent-pluginWrote 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.
[](https://agentmods.dev/skills/withoneai/one-agent-plugin/one-integrations)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
- List. Call
list_one_integrationsonce 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. - Find. Call
find_one_actionsonce for the whole task, with onerequestsentry per operation, on any platforms: theplatformand anintentnaming the operation alone ("send an email", "list paid invoices"), not its data (no IDs, names or message text). Add atask: 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. - 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_actionsagain withload: [{ "action_id": "...", "section": "..." }]for a missing section,"full": truefor the whole document, or an alternative'saction_idfor its documentation. - Execute. Call
execute_one_actionwith 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.
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.
- 4d ago First seen · 79 lines · 95 tokens per session scan A ca5f20bcfad7
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.
Other skills, from other repositories
amazon-location-service
Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addresses to coordinates or reverse geocode coordinates to addresses; calculate routes, travel times, or service areas; find places and businesses through text…
amplify-workflow
Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB including schema modeling, enum types, relationships, authorization rules), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue…
aws-lambda-durable-functions
Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with…
webhook-subscriptions
Webhook subscriptions: event-driven agent runs.
api-gateway
Build, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket). Triggers on phrases like: API Gateway, REST API, HTTP API, WebSocket API, custom domain, Lambda authorizer, usage plan, throttling, CORS, VPC link, private API. Also covers troubleshooting API Gateway errors (4xx, 5xx, timeout, CORS…
aws-lambda
Design, build, deploy, test, and debug serverless applications with AWS Lambda. Triggers on phrases like: Lambda function, event source, serverless application, API Gateway, EventBridge, Step Functions, serverless API, event-driven architecture, Lambda trigger. For deploying non-serverless apps to AWS, use…