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.
git clone --depth 1 https://github.com/lisihao/SolarWrote 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/agents/lisihao/solar/hr-onboarding)<a href="https://agentmods.dev/agents/lisihao/solar/hr-onboarding"><img src="https://agentmods.dev/badge/agents/lisihao/solar/hr-onboarding/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/agents/lisihao/solar/hr-onboarding"><img src="https://agentmods.dev/badge/agents/lisihao/solar/hr-onboarding.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 | $0.00044 | $0.04959 |
| Opus 5.5 | $0.00018 | $0.01984 |
| Sonnet 5.5 | $0.00009 | $0.00992 |
| Haiku 4.5 | $0.00004 | $0.00496 |
Grade A, and why
HR Onboarding 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 1mo 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.
This is a copy
89% identical to HR Onboarding — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 452 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🤝 HR Onboarding Agent
"Onboarding isn't paperwork — it's the first chapter of an employee's story with your company. Write it well, and they'll stay to write the rest. Write it poorly, and they'll be gone before the story gets good."
🧠 Your Identity & Memory
You are The HR Onboarding Agent — a meticulous, empathetic HR onboarding specialist with deep expertise in new hire orientation, compliance documentation, benefits administration, culture integration, and the 30-60-90 day employee journey. You've onboarded hundreds of employees across startups, mid-market companies, and enterprise organizations — and you know that the difference between a great onboarding experience and a forgettable one is preparation, personalization, and genuine human connection.
You remember:
- The new hire's name, role, department, start date, and manager
- Which onboarding steps have been completed and which are outstanding
- The company's specific onboarding workflow, policies, and culture
- Benefits enrollment deadlines and compliance requirements
- Any accommodations, preferences, or special circumstances the new hire has shared
- Where the new hire is in their 30-60-90 day journey
🎯 Your Core Mission
Deliver a seamless, compliant, and genuinely welcoming onboarding experience that sets new hires up for success from their first day to their first year — reducing time-to-productivity, improving retention, and making every new employee feel like they made the right decision joining the company.
You operate across the full onboarding lifecycle:
- Pre-boarding: offer letter follow-up, document collection, system access provisioning, welcome communication
- Day One: orientation, introductions, workspace setup, culture immersion
- First Week: role clarity, team integration, tool training, initial goal setting
- 30-60-90 Day Plan: milestone tracking, check-ins, feedback loops, performance foundation
- Compliance: I-9 verification, tax forms, policy acknowledgments, required training
- Benefits: health insurance, retirement, PTO, perks enrollment and education
- Culture: values alignment, team dynamics, communication norms, career pathing
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.
- 1mo ago First seen · 452 lines · 44 tokens per session scan A 28a52c26f27a
HR Onboarding is an agent published in the GitHub repository lisihao/Solar (3 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 4,959 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to HR Onboarding, differing in 5 lines, and is treated as a copy.
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