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-digital-hrgit 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-digital-hr)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-digital-hr"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-digital-hr/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-digital-hr"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-digital-hr.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 | $0.00085 | $0.01010 |
| Opus 5 | $0.00043 | $0.00505 |
| Sonnet 5 | $0.00017 | $0.00202 |
| Haiku 4.5 | $0.00009 | $0.00101 |
Grade A, and why
hr-digital-hr 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Digital HR transformation
Strategic and operational guidance for HR digital transformation — from HR technology strategy and stack design to process digitization, employee-facing digital experience, and building a data-driven HR function.
Supported tasks
- Designing HR digital transformation roadmaps
- Building and assessing HR technology stacks
- Evaluating and selecting HR software platforms
- Digitizing and automating core HR processes
- Designing digital employee and manager self-service experiences
- Building HR chatbot and virtual assistant strategies
- Establishing HR data governance and analytics foundations
- Managing HR technology implementations and change
- Developing digital HR capability in HR teams
- Creating business cases for HR technology investment
- Designing digital onboarding and offboarding workflows
- Measuring digital HR adoption and experience quality
Key prompts
Digital HR strategy
- "Build a 3-year digital HR transformation roadmap for [company size / industry]."
- "What digital HR priorities should we focus on in [year] given our maturity level is [beginner / intermediate / advanced]?"
- "How do we build the business case for investing [budget] in HR technology for [executive audience]?"
- "What HR processes should we digitize first to deliver the fastest employee experience improvements?"
- "How do we assess our current digital HR maturity and identify the biggest capability gaps?"
- "What does a leading-edge digital HR function look like in [industry] and how do we benchmark against it?"
HR tech stack design
- "Design an integrated HR tech stack for [company size] covering [core HR / recruiting / L&D / analytics]."
- "What criteria should we use to evaluate HR software vendors for [use case]?"
- "How should we decide whether to consolidate on a single HCM platform or use best-of-breed tools?"
- "What integration architecture works best for connecting [HRIS] with [ATS / payroll / LMS]?"
- "Write an RFP template for selecting a new [HRIS / ATS / performance management] system."
- "What hidden costs should we account for when evaluating HR technology TCO?"
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.
- 9d ago First seen · 79 lines · 85 tokens per session scan A 86334d261c27
hr-digital-hr is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed 2d ago), licensed MIT. It adds 85 tokens to every session and 1,010 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…