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-kpigit 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-kpi)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-kpi"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-kpi/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-kpi"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-kpi.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 | $0.00098 | $0.04177 |
| Opus 5.5 | $0.00039 | $0.01671 |
| Sonnet 5.5 | $0.00020 | $0.00835 |
| Haiku 4.5 | $0.00010 | $0.00418 |
Grade A, and why
hr-kpi 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 2mo 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 — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HR KPIs and metrics
Comprehensive HR KPI knowledge for HR managers, people analytics practitioners, and HR business partners — from understanding 150+ workforce metrics and industry benchmarks to building dashboards, analyzing data with AI, and presenting insights to leadership.
Supported tasks
- Explaining HR KPIs and workforce metrics in plain language for HR teams and business stakeholders
- Selecting 5-10 strategic KPIs aligned to organizational goals and priorities
- Calculating and interpreting KPIs across recruiting, retention, compensation, training, and employee relations
- Benchmarking HR metrics against industry standards (SHRM, Gallup, Mercer, ATD)
- Building HR KPI dashboards using tools like Notion, Google Sheets, Power BI, or Tableau
- Analyzing turnover trends, cost per hire, engagement levels, and workforce composition
- Using AI (ChatGPT, Claude, Gemini, Perplexity) to analyze HR data and generate action plans
- Writing executive HR reports and quarterly leadership summaries
- Designing prompts to extract HR insights from raw workforce data
- Understanding DEI measurement, compliance metrics, and organizational health indicators
- Identifying early warning signals from HR data before they become business problems
- Connecting HR metrics to business outcomes and strategic goals
Why HR KPIs matter
Tracking HR KPIs is not about measuring everything. It is about measuring the right things at the right time.
Organizations that lack a structured HR measurement system commonly face:
- wasted recruiting budgets on unoptimized hiring pipelines
- high turnover that drains organizational knowledge and inflates replacement costs
- low engagement that reduces productivity, morale, and retention
- skill gaps that erode market competitiveness
- weak performance management that makes it hard to identify top and low performers
- legal exposure from unmonitored labor compliance indicators
- misaligned HR strategy that cannot be defended with data
- DEI blind spots in hiring, promotion, and compensation decisions
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.
- 2mo ago First seen · 363 lines · 98 tokens per session scan A 627470f4f6ab
hr-kpi is a skill published in the GitHub repository tuanductran/hr-skills (79 stars, last pushed yesterday), licensed MIT. It adds 98 tokens to every session and 4,177 once invoked, about $0.0004 per session on Opus 5.5. 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.
hr-kpi compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| hr-kpituanductran/hr-skills | Skill | 79 | yesterday | MIT | A | 98 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |