breezy

breezy is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 122 tokens per session (5,319 once invoked), scanned A, original, MIT.

An applicant tracking system for managing job candidates and hiring pipelines. It can be accessed through One to read and update Breezy HR data.

In plain words
What is it for?
Use it to manage candidates, move applicants through hiring stages, schedule interviews, and coordinate evaluations.
Why use it?
It keeps candidate information, interviews, evaluations, and hiring work in one place instead of scattered across separate tools.

Skill for Claude CodeCodex

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

Good fit Use it to manage candidates, move applicants through hiring stages, schedule interviews, and coordinate evaluations.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/breezy"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/breezy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,319 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 $0.00122 $0.05319
Opus 5 $0.00061 $0.02660
Sonnet 5 $0.00024 $0.01064
Haiku 4.5 $0.00012 $0.00532

Measured 5d ago against content hash d7488aa70a1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

breezy 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-breezy/skills/breezy/SKILL.md · 311 lines

How it starts

The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Breezy HR through One

Breezy HR is an applicant tracking and recruiting platform that provides tools for sourcing candidates, managing hiring pipelines, scheduling interviews, and collaborating on evaluations, allowing recruiting teams to streamline hiring workflows and integrate candidate data with other business systems.

One exposes Breezy HR 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 breezy 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 Breezy HR 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 Breezy HR 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

Candidates

Action Method Path Action id
Get a Candidate for a Company Position GET /v3/company/{{companyId}}/position/{{positionId}}/candidate/{{candidateId}} conn_mod_def::GL4kV6UxnXA::k4Av7RyZR0meGIcOE7X6Ew
List Candidates for a Position GET /v3/company/{{companyId}}/position/{{positionId}}/candidates conn_mod_def::GL4kWGxZJpg::1pCOU4E8Tx--b8JXSxR-_g
Search Candidates by Email for a Company GET /v3/company/{{companyId}}/candidates/search conn_mod_def::GL4kWNDRePA::vp1xySSnQVGEy_WCwDUPFA
Add a Candidate to a Position POST /v3/company/{{companyId}}/position/{{positionId}}/candidates conn_mod_def::GL4kVnOi3gA::96piPrF3Sgyu21Kq4POYbQ
Move a Candidate Using Company Position Candidate POST /v3/company/{{companyId}}/position/{{positionId}}/candidate/{{candidateId}}/move conn_mod_def::GL4kWM9gpvg::NTAQAd_zSaWli6KBmQCwQA
Send Questionnaire to a Candidate by Email POST /v3/company/{{companyId}}/position/{{positionId}}/candidate/{{candidateId}}/send-questionnaire conn_mod_def::GL4kWO4AZ4g::7EXt6LAKTkmENgGqYVerrg
Set a Candidate Custom Attribute for a Company Position PUT /v3/company/{{companyId}}/position/{{positionId}}/candidate/{{candidateId}}/custom-attribute conn_mod_def::GL4kWW0XMcg::shb80ZNwT-SLZEgL8vXogA
Update a Candidate for a Company Position PUT /v3/company/{{companyId}}/position/{{positionId}}/candidate/{{candidateId}} conn_mod_def::GL4kWVuCdkg::ZzJG-D_qQHi2p2emlCW9jA
Upload a Resume Candidate for a Company Position POST /v3/company/{{companyId}}/position/{{positionId}}/candidates/resume conn_mod_def::GL4kVqvzZtA::cPsFcDaKQdesAYOP92jjhQ
Upload Resume for a Candidate in a Company Position POST /v3/company/{{companyId}}/position/{{positionId}}/candidate/{{candidateId}}/resume conn_mod_def::GL4kWVx_AqA::Ihaf4ZMrTLe_qa6R2yP9Yg

Read the full file on GitHub · 311 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 · 311 lines · 0 tokens per session scan A d7488aa70a1f

Subscribe to this mod's changes

breezy is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 19d ago), licensed MIT. It adds 122 tokens to every session and 5,319 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.