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-employee-self-servicegit 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-employee-self-service)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-employee-self-service"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-employee-self-service/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-employee-self-service"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-employee-self-service.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 | $0.00076 | $0.01011 |
| Opus 5 | $0.00038 | $0.00505 |
| Sonnet 5 | $0.00015 | $0.00202 |
| Haiku 4.5 | $0.00008 | $0.00101 |
Grade A, and why
hr-employee-self-service 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 9d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Employee self-service design and optimization
Design and optimize employee and manager self-service experiences — from HR knowledge bases and ESS portals to AI-powered chatbots and automated workflows that reduce inquiry volume and improve employee autonomy.
Supported tasks
- Designing employee self-service portals and HR intranets
- Building HR knowledge bases and FAQ content libraries
- Designing and implementing HR chatbot and virtual assistant programs
- Developing manager self-service tools and approval workflows
- Identifying high-volume HR inquiries suitable for self-service
- Measuring self-service adoption and deflection rates
- Designing employee-facing HR content that is clear and findable
- Building self-service onboarding and offboarding experiences
- Optimizing search and navigation for HR self-service platforms
- Training employees and managers to use self-service effectively
- Connecting self-service to backend HR systems and data
- Auditing and improving self-service content quality
Key prompts
Self-service strategy and design
- "Design an employee self-service strategy for [company] that reduces HR tier-1 inquiry volume by [target percentage]."
- "What HR tasks and queries are best suited for self-service versus requiring human HR support?"
- "Design an ESS portal experience for [company] that employees actually use instead of emailing HR."
- "How do we prioritize which HR processes to self-serve first based on volume, complexity, and employee impact?"
- "What does a best-practice employee self-service experience look like for [onboarding / leave / benefits / payslips]?"
HR knowledge base and content
- "Design an HR knowledge base structure for [company] covering [top employee topics]."
- "Write a clear, employee-friendly FAQ answer for [common HR question, for example, 'How do I request annual leave?']."
- "How do we audit existing HR content for accuracy, readability, and findability?"
- "What writing principles make HR self-service content easy for employees to understand and act on?"
- "Design a content maintenance process that keeps the HR knowledge base accurate as policies change."
- "How do we categorize and tag HR content so employees can find it through search without knowing HR terminology?"
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.
- 9d ago First seen · 77 lines · 76 tokens per session scan A b6be39945465
hr-employee-self-service is a skill published in the GitHub repository tuanductran/hr-skills (58 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 1,011 once invoked, about $0.0004 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.
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