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-genaigit 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-genai)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-genai"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-genai/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-genai"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-genai.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 | $0.00080 | $0.01126 |
| Opus 5 | $0.00040 | $0.00563 |
| Sonnet 5 | $0.00016 | $0.00225 |
| Haiku 4.5 | $0.00008 | $0.00113 |
Grade A, and why
hr-genai 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generative AI for HR professionals
Use Generative AI tools to improve HR productivity, content quality, and decision support across recruiting, performance, learning, communications, and people analytics — with practical guidance for effective and responsible use.
Supported tasks
- Using GenAI to draft and improve HR documents and communications
- Generating and refining job descriptions, interview questions, and scorecards
- Using GenAI for performance review writing, development plans, and feedback
- Creating HR training content, learning materials, and onboarding documentation
- Using GenAI for HR data summarization and analysis support
- Generating policy drafts, employee communications, and change announcements
- Using GenAI for candidate screening and sourcing support
- Automating repetitive HR writing tasks with AI-assisted workflows
- Building GenAI use standards and guardrails for HR teams
- Evaluating GenAI output quality and editing for accuracy and tone
- Designing HR GenAI workflows that combine human judgment with AI productivity
- Training HR teams to use GenAI tools effectively and responsibly
Key prompts
Recruiting and hiring
- "Use GenAI to write a job description for [role title] at [company type] that is clear, inclusive, and compelling."
- "Generate a set of competency-based interview questions for assessing [competency] in [role type] candidates."
- "Summarize this [candidate profile / resume] and identify alignment with our requirements for [role]."
- "Draft an offer letter for [candidate name] for the [role] position with [compensation details]."
- "Generate a candidate outreach message for [passive candidate type] on [LinkedIn / email] for [role]."
- "Use GenAI to write rejection communications for candidates at [screening / interview / final] stage that are respectful and on-brand."
Performance and feedback
- "Draft a performance review for [employee name / role] based on the following accomplishments and behaviors: [input]."
- "Rewrite this performance review draft to be more balanced, specific, and evidence-based."
- "Generate development plan suggestions for an employee whose strengths are [X] and development areas are [Y]."
- "Draft a difficult feedback message for a conversation about [performance issue] that is clear but empathetic."
- "Summarize the key themes from [number] performance review inputs and identify patterns across the team."
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 · 78 lines · 80 tokens per session scan A bb19e5943a7f
hr-genai is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed 2d ago), licensed MIT. It adds 80 tokens to every session and 1,126 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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