docsautomator

docsautomator is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 121 tokens per session (1,790 once invoked), scanned A, original, MIT.

A document automation service that creates PDFs and other business documents from templates and structured data. Structured data means organised values such as names, dates, prices, and addresses.

In plain words
What is it for?
Use it to generate business documents from application data and connect document creation to other workflows or APIs.
Why use it?
It removes the need to assemble repeated documents by hand. Templates keep contracts, invoices, reports, and forms consistent.

Skill for Claude CodeCodex

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

Good fit Use it to generate business documents from application data and connect document creation to other workflows or APIs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/withoneai/one-agent-plugin/docsautomator
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 docsautomator
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 docsautomator

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/docsautomator"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/docsautomator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,790 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 $0.00121 $0.01790
Opus 5 $0.00060 $0.00895
Sonnet 5 $0.00024 $0.00358
Haiku 4.5 $0.00012 $0.00179

Measured 5d ago against content hash 655f27ad7b73, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

docsautomator 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 5d 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-docsautomator/skills/docsautomator/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DocsAutomator through One

DocsAutomator is a document automation platform that generates PDFs and other business documents from templates and structured data, enabling teams and developers to automate contracts, invoices, reports, and forms through integrations, APIs, and workflow-driven document creation.

One exposes DocsAutomator 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 docsautomator 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 DocsAutomator 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 DocsAutomator 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

Automation

Action Method Path Action id
Get Automation GET /automation conn_mod_def::GMZh78FWNhg::jnvYfqa4RU-ZWzqSw490uQ
Create Automation POST /createAutomation conn_mod_def::GMZh76o6_Tg::ry9Jt8IYQemHXWoGXB87yQ
Delete Automation DELETE /deleteAutomation conn_mod_def::GMZh78Of2-A::4mzJ-J2hREKPtodIteIFIA

Read the full file on GitHub · 118 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. 5d ago First seen · 118 lines · 0 tokens per session scan A 655f27ad7b73

Subscribe to this mod's changes

docsautomator is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 19d ago), licensed MIT. It adds 121 tokens to every session and 1,790 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 2026-09-03.

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