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 tuanductran/hr-skills --skill hr-automationgit clone --depth 1 https://github.com/tuanductran/hr-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/tuanductran/hr-skills/hr-automation)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-automation"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-automation/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/tuanductran/hr-skills/hr-automation"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00066 | $0.00749 |
| Opus 5 | $0.00033 | $0.00375 |
| Sonnet 5 | $0.00013 | $0.00150 |
| Haiku 4.5 | $0.00007 | $0.00075 |
Grade A, and why
hr-automation 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.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HR automation
Identify, design, and implement automation across the HR function — from no-code workflow tools and HRIS configuration to AI-assisted content generation and chatbot use cases — freeing HR teams from administrative burden to focus on higher-value people work.
Supported tasks
- Identifying and prioritizing HR process automation opportunities
- Designing automated workflows for onboarding, offboarding, and lifecycle events
- Building HRIS automation configurations and integration specifications
- Creating HR chatbot and virtual assistant use case designs
- Developing AI-assisted HR content generation frameworks
- Mapping current-state HR processes for automation readiness assessment
- Writing business cases for HR automation investments
- Designing data quality frameworks to support automation reliability
- Creating change management plans for HR automation rollouts
- Measuring automation ROI through time savings and error reduction metrics
Key prompts
Automation opportunity identification
- "Identify the top 10 HR processes with the highest automation potential in [company context]."
- "Create an HR process automation prioritization matrix based on volume, complexity, and impact."
- "Conduct an HR admin burden assessment to identify time-intensive manual tasks."
- "Map the onboarding process and flag automation opportunities at each step."
- "Develop an HR automation readiness assessment for [HRIS/data quality/process maturity]."
Workflow design
- "Design an automated onboarding workflow from offer acceptance to day-one readiness."
- "Build a lifecycle event automation map for [promotion/transfer/departure] processes."
- "Create an automated leave management workflow integrating approval, notification, and payroll."
- "Design a document generation automation for [offer letters/contracts/policies]."
- "Develop an automated HR reporting workflow for weekly and monthly dashboards."
AI and technology in HR
- "Design an HR chatbot use case covering [FAQs/leave queries/policy questions]."
- "Create a framework for using AI in [resume screening/interview scheduling/onboarding content]."
- "Develop guidelines for responsible AI use in HR processes."
- "Write an HRIS automation specification for [Workday/SAP/BambooHR] configuration."
- "Design an AI-assisted HR content workflow for job descriptions, communications, and policies."
What ships with it
3 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.
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.
- 13d ago First seen · 68 lines · 66 tokens per session scan A f34d962ceb5d
hr-automation is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed 2d ago), licensed MIT. It adds 66 tokens to every session and 749 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 2026-08-30.
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