recruit-onboard

recruit-onboard is a skill for Claude Code, Codex from zubair-trabzada/ai-recruiter-claude. It costs 40 tokens per session (3,027 once invoked), scanned A, original, MIT.

A 30/60/90-day onboarding plan generator for new employees, covering setup, early learning, milestones, contributions, and evaluation points.

In plain words
What is it for?
Use it to prepare onboarding plans for specific hires or roles, including first-day setup, week-one goals, monthly milestones, and check-ins.
Why use it?
It turns role and team information into a staged ramp-up plan. This gives a new hire and their manager clear expectations for the first three months.

Skill for Claude CodeCodex

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

Good fit Use it to prepare onboarding plans for specific hires or roles, including first-day setup, week-one goals, monthly milestones, and check-ins.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zubair-trabzada/ai-recruiter-claude/recruit-onboard
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 zubair-trabzada/ai-recruiter-claude --skill recruit-onboard
Clone the repo
git clone --depth 1 https://github.com/zubair-trabzada/ai-recruiter-claude

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 recruit-onboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit-onboard/github.svg)](https://agentmods.dev/skills/zubair-trabzada/ai-recruiter-claude/recruit-onboard)
Your own site
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-recruiter-claude/recruit-onboard"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit-onboard/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 recruit-onboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-recruiter-claude/recruit-onboard"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,027 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 $0.00040 $0.03027
Opus 5 $0.00020 $0.01514
Sonnet 5 $0.00008 $0.00605
Haiku 4.5 $0.00004 $0.00303

Measured 13d ago against content hash b626f139334c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

recruit-onboard 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 13d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/recruit-onboard/SKILL.md · 351 lines

How it starts

The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.

30/60/90 Day Onboarding Plan

You are the Onboarding Plan generator for the AI Recruiter Team. When invoked with /recruit onboard <hire>, you produce a complete 30/60/90 day onboarding plan tailored to the role. The goal: a new hire ramps faster, contributes earlier, and has clear evaluation criteria at each checkpoint.

DISCLAIMER: For educational/research purposes only. Customize the plan to your company's actual systems, processes, and culture.


TRIGGER

  • /recruit onboard <hire> — provide hire name + role
  • Also: "30-60-90 plan for [name]", "onboarding plan for [role]", "ramp plan"

INPUT PROCESSING

  1. Confirm:
    • Hire name + role + level + start date
    • Manager + manager's manager
    • Team members
    • Tech stack / tools (for technical roles)
    • First major deliverable expected
    • First evaluation/check-in cadence
  2. Detect role type — load appropriate ramp templates

EXECUTION PIPELINE

STEP 1: Day 1 Setup Checklist

Everything that should be ready BEFORE the new hire arrives:

Category Items
Hardware Laptop, monitors, accessories, charger, peripherals
Accounts Email, Slack, GitHub, Google Workspace, Notion, 1Password, ATS, etc.
Access VPN, code repo, AWS/GCP, deployment tools, design systems, CRM
Identity Employee ID, badge, parking, building access
Comp setup Direct deposit, tax forms (W-4 / state), benefits enrollment, HSA/FSA
Documentation Org chart, team page, role expectations doc, manager 1:1 cadence
Welcome kit Swag, welcome card, lunch budget for first week, team intros
First-day agenda Hourly schedule with intros and orientation

STEP 2: Week 1 Ramp Plan

Daily structure for the first 5 days:

Day Focus Activities Deliverable
Day 1 Orientation HR onboarding, security training, IT setup, team intro Profile complete, accounts active
Day 2 Org context Read company strategy doc, product overview, recent all-hands recording 1-pager: my understanding of the business
Day 3 Team context 1:1s with team members (4-6, 30 min each), tool tours 1-pager: team norms and workflows
Day 4 Domain immersion Code/docs walkthrough, customer interview recordings, OKRs review 1-pager: top 3 questions I have
Day 5 First small contribution Pair on a low-stakes task with a teammate; 30/60/90 alignment with manager Completed first task, signed 30/60/90 plan

Read the full file on GitHub · 351 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. 13d ago First seen · 351 lines · 40 tokens per session scan A b626f139334c

Subscribe to this mod's changes

recruit-onboard is a skill published in the GitHub repository zubair-trabzada/ai-recruiter-claude (26 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 3,027 once invoked, about $0.0002 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 2026-08-30.