bonsai

bonsai is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 113 tokens per session (2,741 once invoked), scanned A, original, MIT.

A business management platform for freelancers and small service businesses. It brings proposals, contracts, time tracking, invoices, expenses, project tasks, and client records into one system.

In plain words
What is it for?
Use it to manage service projects and tasks, track time and expenses, handle proposals and contracts, create invoices, and maintain client relationships.
Why use it?
It removes the need to keep project work, billing, time records, and client information in separate tools. The integration provides access to Bonsai data through defined actions.

Skill for Claude CodeCodex

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

Good fit Use it to manage service projects and tasks, track time and expenses, handle proposals and contracts, create invoices, and maintain client relationships.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/bonsai"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/bonsai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,741 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 $0.00113 $0.02741
Opus 5 $0.00056 $0.01371
Sonnet 5 $0.00023 $0.00548
Haiku 4.5 $0.00011 $0.00274

Measured 5d ago against content hash 9efd2d4b523d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

bonsai 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-bonsai/skills/bonsai/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bonsai through One

Bonsai is a business management platform for freelancers and small service businesses that provides proposals, contracts, time tracking, invoicing, expense tracking, and client CRM tools, allowing users to manage projects, billing, and operations from a single system.

One exposes Bonsai 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 bonsai 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 Bonsai 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 Bonsai 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

Tasks

Action Method Path Action id
List a Task's Subtasks GET /public-api/v1/tasks/{{taskId}}/subtasks conn_mod_def::GMhtNmbHWiA::C2BEj7UiSZSHrgb6UAEdHw
List Tasks GET /public-api/v1/tasks conn_mod_def::GMhtNnUjJgg::rOEBd6fYRFWT-LvFJ0TZ1A
Retrieve a Task GET /public-api/v1/tasks/{{uuid}} conn_mod_def::GMhtNlRBJjg::Tq_sIQwQT6mzK9M-VDizDw
Create a Task POST /public-api/v1/tasks conn_mod_def::GMhtNlZAtyg::qEGu04jYRUOWmerXsqeUaA
Delete a Task DELETE /public-api/v1/tasks/{{uuid}} conn_mod_def::GMhtNloOdIA::V8PfiuvzR16xYL63Ceiozg
Update a Task PATCH /public-api/v1/tasks/{{uuid}} conn_mod_def::GMhtNtMCdag::nBYfNkNCSqm2b6iCedxBAg

Read the full file on GitHub · 155 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 · 155 lines · 0 tokens per session scan A 9efd2d4b523d

Subscribe to this mod's changes

bonsai is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 19d ago), licensed MIT. It adds 113 tokens to every session and 2,741 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.