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-ai-governancegit 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-ai-governance)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-ai-governance"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-ai-governance/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-ai-governance"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-ai-governance.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 | $0.00073 | $0.00722 |
| Opus 5 | $0.00036 | $0.00361 |
| Sonnet 5 | $0.00015 | $0.00144 |
| Haiku 4.5 | $0.00007 | $0.00072 |
Grade A, and why
hr-ai-governance 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 12d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HR AI governance
Helps HR and compliance teams govern the responsible, compliant use of AI tools across the employee lifecycle, from hiring algorithms to performance analytics and employee monitoring.
Supported tasks
- Drafting an AI use policy for HR processes
- Assessing bias and disparate-impact risk in AI-driven hiring tools
- Designing a governance review process for adopting new HR AI tools
- Writing employee-facing disclosures about AI use in HR decisions
- Mapping AI-related regulatory requirements relevant to HR (e.g., automated employment decision tools)
- Designing human-in-the-loop review requirements for AI-assisted decisions
- Building an AI vendor due-diligence checklist for HR tools
- Drafting data privacy guidance for AI tools processing employee data
- Creating training for HR staff on responsible AI use
- Auditing existing HR AI tools against governance standards
- Designing escalation processes for AI-related employee complaints
- Drafting documentation standards for AI-assisted employment decisions
Key prompts
Policy and governance design
- "Draft an AI use policy governing how HR may use AI tools in hiring and performance decisions."
- "Design a governance review process required before adopting a new HR AI tool."
- "Write a human-in-the-loop requirement for AI-assisted hiring decisions."
- "Create an escalation process for employees who want to contest an AI-assisted decision."
- "Draft documentation standards HR must follow when using AI in employment decisions."
Risk and bias assessment
- "Design a bias audit framework for an AI-driven resume screening tool."
- "Identify disparate-impact risks in an AI-based candidate ranking system."
- "Create a checklist to evaluate an AI vendor's fairness and transparency practices."
- "Draft questions to ask an AI hiring tool vendor about training data and validation testing."
- "Assess data privacy risks of an AI tool that analyzes employee communications."
Disclosure and training
What ships with it
6 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.
- 12d ago First seen · 67 lines · 73 tokens per session scan A e653fd94997a
hr-ai-governance is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed 2d ago), licensed MIT. It adds 73 tokens to every session and 722 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 2026-08-30.
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