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 liqiongyu/lenny_skills_plus --skill onboarding-new-hiresgit clone --depth 1 https://github.com/liqiongyu/lenny_skills_plusWrote 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/liqiongyu/lenny_skills_plus/onboarding-new-hires)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/onboarding-new-hires"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/onboarding-new-hires/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/liqiongyu/lenny_skills_plus/onboarding-new-hires"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/onboarding-new-hires.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 | $0.00028 | $0.02435 |
| Opus 5 | $0.00014 | $0.01218 |
| Sonnet 5 | $0.00006 | $0.00487 |
| Haiku 4.5 | $0.00003 | $0.00244 |
Grade A, and why
onboarding-new-hires 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 12d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboarding New Hires
Scope
Covers
- Designing onboarding for a new hire’s first day / week / 30–60–90 days
- Creating a context pack (team operating manual, mental models, decision history) to reduce “hidden curriculum”
- Ensuring belonging + social integration (buddy + “first pair”, introductions, routines)
- Running a structured listening tour and synthesizing what’s learned into a crisp summary
- Aligning on a working agreement (relationship design: expectations, communication, escalation)
- Producing a concrete 30/60/90 plan plus 1-year / 2-year trajectory expectations
When to use
- “Create an onboarding plan for a new PM/engineer/leader joining my team.”
- “Build a 30/60/90 plan and first-week schedule for this hire.”
- “Design a listening tour + stakeholder map + synthesis template for a new leader.”
- “Create a buddy/first-pair plan so they don’t feel alone on day one.”
- “Write a working agreement / relationship design conversation guide for me and my new report.”
When NOT to use
- You need to design product/user onboarding flows or activation funnels (use
user-onboarding— completely different domain) - You need to define the role outcomes or write the job description (use
writing-job-descriptions) - You need to evaluate candidates or decide who to hire (use
conducting-interviewsand/orevaluating-candidates) - You need to run organization-wide culture change or write a culture code (use
building-team-culture— this skill is for per-hire onboarding, not team-wide culture redesign) - You need to design team operating cadence or rituals (use
team-rituals) - You need legal/HR compliance advice (this skill is not legal advice)
Inputs
Minimum required
- Role + level + function (e.g., “Senior PM”, “Founding Designer”, “Eng Manager”)
- Start date + location (remote/hybrid/in-office) + any time zone constraints
- Manager + team context (mission, current priorities, what’s hard right now)
- What “success” means at 30/60/90 days, and at 1 year / 2 years (even if rough)
- Key stakeholders (internal + external) and any known sensitivities/politics to handle carefully
- Constraints: urgency, confidentiality/PII, systems access constraints, onboarding time budget
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- eval/eval_config.json 1.5 KB
- eval/SHOWCASE.md 6.0 KB
- eval/with_skill.md 43 KB
- eval/without_skill.md 25 KB
- README.md 1.1 KB
- references/CHECKLISTS.md 1.9 KB
- references/EXAMPLES.md 944 B
- references/INTAKE.md 1.6 KB
- references/RUBRIC.md 4.7 KB
- references/SOURCE_SUMMARY.md 1.3 KB
- references/TEMPLATES.md 5.2 KB
- references/WORKFLOW.md 3.4 KB
- skillpack.json 380 B
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.
- 12d ago First seen · 141 lines · 28 tokens per session scan A b397a61c3f12
onboarding-new-hires is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 2,435 once invoked, about $0.0001 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.
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