bamboo-hr

bamboo-hr is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 124 tokens per session (5,927 once invoked), scanned A, original, MIT.

A human-resources platform for managing employees from hiring and onboarding through payroll, benefits, performance, compensation, and reporting. Its One integration provides access to BambooHR data.

In plain words
What is it for?
Use it to support employee-record, hiring, onboarding, payroll, time-tracking, benefits, performance, compensation, and HR-reporting workflows.
Why use it?
It removes the need to maintain employee information and workforce processes across separate systems. Developers can work with BambooHR through the integration's defined actions.

Skill for Claude CodeCodex

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

Good fit Use it to support employee-record, hiring, onboarding, payroll, time-tracking, benefits, performance, compensation, and HR-reporting workflows.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/bamboo-hr"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/bamboo-hr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,927 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 $0.00124 $0.05927
Opus 5 $0.00062 $0.02964
Sonnet 5 $0.00025 $0.01185
Haiku 4.5 $0.00012 $0.00593

Measured 5d ago against content hash 32fcd48e6ed6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

bamboo-hr 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-bamboo-hr/skills/bamboo-hr/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BambooHR through One

BambooHR is an HR software platform that combines hiring and onboarding, employee data and reporting, payroll, time tracking, benefits administration, performance management, and compensation tools, allowing businesses to manage the employee lifecycle and workforce operations from a single system.

One exposes BambooHR 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 bamboo-hr 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 BambooHR 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 BambooHR 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

CompensationPlanningCycles

Action Method Path Action id
Get a Compensation Planning Cycle Summary GET /api/v1/compensation/planning_cycles/{{id}}/summary conn_mod_def::GMSIZV6f0a8::RruZLPAESkuNkdQL4Uc2fA
Get Change Communication Letter Details for a Compensation Planning Cycle GET /api/v1/compensation/planning_cycles/{{id}}/change_comm conn_mod_def::GMSIZOTTvUI::SIOMRRlPQySZxkHOXgklrw
Get Compensation Planning Cycle Details GET /api/v1/compensation/planning_cycles/{{id}} conn_mod_def::GMSIZV4OegM::togiBd3rSEit6kXqPNj55A
List Compensation Planning Cycles GET /api/v1/compensation/planning_cycles conn_mod_def::GMSIZfjTCBI::XE3AYcJsQQe3gvm5W97Dmg
Add Cycle Admins for a Compensation Planning Cycle POST /api/v1/compensation/planning_cycles/{{id}}/admins conn_mod_def::GMSIZGuHYOI::3Fp6LUd-Q5KSz-n1XyfVtA
Add Employees to a Compensation Planning Cycle POST /api/v1/compensation/planning_cycles/{{id}}/employees conn_mod_def::GMSIZGlMtUs::qHW55fNCQZuSd_rsiU4fGg
Complete a Compensation Planning Cycle PUT /api/v1/compensation/planning_cycles/{{id}}/complete conn_mod_def::GMSIZNLn8SA::90lGfZS8QtCiJ9qGBiDTMQ
Create a Compensation Planning Cycle POST /api/v1/compensation/planning_cycles conn_mod_def::GMSIZMhwb5s::LwifjQP1Ti2_eKwbH-BrYw
Delete a Compensation Planning Cycle DELETE /api/v1/compensation/planning_cycles/{{id}} conn_mod_def::GMSIZNOiwRU::_Hw2MHdYSduaUyIJHrXH3w
Launch a Compensation Planning Cycle PUT /api/v1/compensation/planning_cycles/{{id}}/launch conn_mod_def::GMSIZeR-d5Q::aRnKZGK9SSOB8KA-wES8xA
Remove a Cycle Admin from a Compensation Planning Cycle DELETE /api/v1/compensation/planning_cycles/{{id}}/admins/{{employeeId}} conn_mod_def::GMSIZoU6sPw::rE0LgSEbS9apTUcDtKL1hw
Remove Employees From a Compensation Planning Cycle DELETE /api/v1/compensation/planning_cycles/{{id}}/employees conn_mod_def::GMSIZoo-AAI::3VWAZQdiS0y1mr8GbroekA

Read the full file on GitHub · 216 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 · 216 lines · 0 tokens per session scan A 32fcd48e6ed6

Subscribe to this mod's changes

bamboo-hr is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 19d ago), licensed MIT. It adds 124 tokens to every session and 5,927 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.