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.
npx skills add latestaiagents/agent-skills --skill onboarding-checklistgit clone --depth 1 https://github.com/latestaiagents/agent-skillsWrote 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.
[](https://agentmods.dev/skills/latestaiagents/agent-skills/onboarding-checklist)<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/onboarding-checklist"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/onboarding-checklist/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.
<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/onboarding-checklist"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/onboarding-checklist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.01618 |
| Opus 5 | $0.00032 | $0.00809 |
| Sonnet 5 | $0.00013 | $0.00324 |
| Haiku 4.5 | $0.00006 | $0.00162 |
Grade A, and why
onboarding-checklist 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboarding Checklist
Set new hires up for success with structured onboarding.
When to Use
- Preparing for a new hire's arrival
- Building role-specific onboarding programs
- Improving existing onboarding processes
- Creating 30-60-90 day plans
- Ensuring consistent onboarding across teams
Pre-Start Checklist (Before Day 1)
1 Week Before
## IT & Access
- [ ] Laptop/equipment ordered and configured
- [ ] Email account created
- [ ] Slack/Teams account set up
- [ ] Required software licenses provisioned
- [ ] Building/office access arranged
- [ ] VPN access configured (if remote)
## HR & Admin
- [ ] Offer letter signed and filed
- [ ] Background check completed
- [ ] I-9/work authorization ready
- [ ] Benefits enrollment information prepared
- [ ] Payroll set up
- [ ] Emergency contact form ready
## Team Preparation
- [ ] Onboarding buddy assigned
- [ ] First week meetings scheduled
- [ ] Welcome announcement drafted
- [ ] Desk/workspace prepared (if on-site)
- [ ] Team lunch scheduled
Day Before
- [ ] Welcome email sent with Day 1 logistics
- [ ] Calendar invites confirmed
- [ ] Manager 1:1 scheduled for Day 1
- [ ] Equipment delivery confirmed (if remote)
- [ ] Team notified of new hire start
Day 1 Checklist
Morning
## Welcome & Setup (First 2 hours)
- [ ] Warm welcome from manager
- [ ] Office tour / virtual workspace orientation
- [ ] Equipment setup and login
- [ ] Introductions to immediate team
- [ ] Review Day 1 agenda
## Admin & HR
- [ ] Complete I-9 verification
- [ ] Review and sign policies
- [ ] Benefits enrollment walkthrough
- [ ] Security and compliance training
- [ ] Set up direct deposit
Afternoon
## Orientation
- [ ] Company overview presentation
- [ ] Mission, values, and culture
- [ ] Organization structure
- [ ] Key tools and systems training
- [ ] Communication norms and channels
## Role Introduction
- [ ] Manager 1:1: expectations and goals
- [ ] Team structure and responsibilities
- [ ] Current projects overview
- [ ] Access to documentation and resources
- [ ] End-of-day check-in
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.
- 7d ago First seen · 268 lines · 63 tokens per session scan A 18cea7c8aa2b
onboarding-checklist is a skill published in the GitHub repository latestaiagents/agent-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 63 tokens to every session and 1,618 once invoked, about $0.0003 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.
Other skills, from other repositories
ai-crm-cleanup
A CRM data-cleanup assistant for reviewing whether customer and sales records are still usable.
ai-hr-performance-review
A performance-feedback writing assistant for producing and reviewing workplace performance comments.
ai-hr-pro
An HR document assistant for reviewing workplace materials and suggesting clearer wording, structure, and experiments.
ai-job-description-optimizer-cn
A business diagnosis assistant for human-resources teams, managers, operations staff, and software professionals. It uses supplied material to produce summaries, findings, action suggestions, and reusable deliverables.
ai-just-scrape
A business diagnosis assistant for marketing, operations, product, and sales questions. It uses supplied material to produce summaries, findings, action suggestions, and reusable deliverables.
ai-lark-approval
A business diagnosis assistant for operations, product, technical, and sales work. It uses supplied material to produce summaries, findings, action suggestions, and reusable deliverables.