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-prompt-engineeringgit 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-prompt-engineering)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-prompt-engineering"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-prompt-engineering/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-prompt-engineering"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-prompt-engineering.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 | $0.00083 | $0.01088 |
| Opus 5 | $0.00042 | $0.00544 |
| Sonnet 5 | $0.00017 | $0.00218 |
| Haiku 4.5 | $0.00008 | $0.00109 |
Grade A, and why
hr-prompt-engineering 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 8d 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.
Prompt engineering for HR professionals
Write more effective AI prompts to get higher-quality outputs across HR workflows — from recruiting and performance management to learning content, employee communications, and HR analytics support.
Supported tasks
- Teaching HR professionals core prompt engineering techniques
- Improving existing HR prompts for better AI outputs
- Building HR-specific prompt libraries for common tasks
- Designing prompts for structured HR document generation
- Creating role-play and scenario prompts for HR training
- Writing system prompts for HR AI tools and chatbots
- Designing chain-of-thought prompts for complex HR analysis
- Building few-shot prompts using HR examples
- Designing prompt templates for HR team use
- Debugging ineffective prompts and diagnosing output problems
- Building prompt governance and quality standards for HR teams
- Teaching prompt iteration techniques for HR professionals
Key prompts
Core prompt techniques
- "Review this HR prompt and improve it using [role, task, context, format] structure: [paste prompt]."
- "Rewrite this vague HR prompt to be more specific, context-rich, and likely to produce a useful output: [paste prompt]."
- "Show me how to use few-shot prompting to generate consistent [job description / performance review / interview question] outputs."
- "Write a chain-of-thought prompt that guides an AI through a structured [compensation analysis / role evaluation / skills gap assessment]."
- "Design a prompt template for [HR task] that my team can reuse with minimal customization for different roles or contexts."
HR-specific prompt patterns
- "Write a prompt that generates a [job description / performance review / development plan] for [role] at [level] in [company type]."
- "Design a prompt that generates competency-based interview questions with scoring guidance for [role] and [competency]."
- "Write a prompt that summarizes [number] employee engagement survey comments into key themes with representative examples."
- "Create a prompt that generates a balanced performance review narrative from a list of bullet-point achievements and development areas."
- "Write a prompt that produces a clear, plain-language explanation of [HR policy] for an [employee audience]."
- "Design a prompt that identifies potential pay equity concerns from a salary dataset description."
What ships with it
4 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.
- 8d ago First seen · 77 lines · 83 tokens per session scan A 86c287eb7829
hr-prompt-engineering is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed yesterday), licensed MIT. It adds 83 tokens to every session and 1,088 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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