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 agentmods add skills/wolfenazz/yzpzcode/hr-onboardingnpx skills add wolfenazz/YzPzCode --skill hr-onboardinggit clone --depth 1 https://github.com/wolfenazz/YzPzCodeWrote 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/wolfenazz/yzpzcode/hr-onboarding)<a href="https://agentmods.dev/skills/wolfenazz/yzpzcode/hr-onboarding"><img src="https://agentmods.dev/badge/skills/wolfenazz/yzpzcode/hr-onboarding.svg" alt="Measured on agentmods" 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 | $0.00062 | $0.00404 |
| Opus 5 | $0.00031 | $0.00202 |
| Sonnet 5 | $0.00012 | $0.00081 |
| Haiku 4.5 | $0.00006 | $0.00040 |
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 3d 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
100% identical to hr-onboarding — 0 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.
What it actually says
HR Onboarding Skill
Produce a single-screen onboarding plan in HTML.
Workflow
- Read the active DESIGN.md.
- Identify the role + tenure expectations from the brief. Default to a 30/60/90-day shape if unspecified.
- Layout:
- Cover banner: name placeholder, role, start date, manager + buddy.
- "Day 1" panel with the literal schedule (kickoff time, lunch, 1:1 slot).
- First-week timeline (Mon → Fri, two activities per day).
- 30 / 60 / 90 day milestone cards with three concrete outcomes each.
- Resource list: handbook, Slack channels, key dashboards, payroll setup.
- "You're set when…" checklist — five outcomes with checkboxes.
- Single inline
<style>, semantic HTML.
Output contract
<artifact identifier="onboarding-plan" type="text/html" title="Onboarding Plan">
<!doctype html>...</artifact>
What ships with it
1 file 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.
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.
- 3d ago First seen · 53 lines · 62 tokens per session scan A 2c7cd7a48ab5
hr-onboarding is a skill published in the GitHub repository wolfenazz/YzPzCode (12 stars, last pushed yesterday), licensed Apache-2.0. It adds 62 tokens to every session and 404 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to hr-onboarding, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
golden-rss
Use when testing the rss golden build.
android-pentest
安卓应用渗透测试 — APK分析、Hook、自动化测试、运行态驱动、签名恢复、抓包分析.
verify
Fact-check claims encountered during reading — dates, names, events, citations. Use when encountering historical facts or disputed claims.
bailian-docs-llm-wiki
阿里云百炼平台技术文档知识库（LLM Wiki）。当用户查询百炼模型列表、API 参数、错误码、 应用开发（智能体/RAG/知识库/记忆/插件）、模型对比与定价、SDK/OpenAI 兼容接口、 多模态能力（语音/图片/视频）、Token 计费等百炼相关问题时激活。 包含 models 结构化模型市场数据（含 contextWindow/QPM/价格/sample code）、 wiki 合成层（主题页/概念页/对比页）和 raw 原始文档层； 模型规格类问题先查 models/index.md，文档类问题先查 wiki/index.md。.
write-blog-post
Write or develop a blog post. Use for blog content - writing, drafting, developing ideas into drafts, or editing. Longer-form than LinkedIn (800-1200 words) with section structure.
spec
Draft a Workflow Phase 4 technical spec from an intake (and optionally a BRD + scout + research memo). The spec defines how the system will change: design (C4 + UML + dependency graph in PlantUML), data, APIs, tests, rollout, rollback. Output lives at docs/specs/ .md. Never self-approves — approval happens via…