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-people-operationsgit 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-people-operations)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-people-operations"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-people-operations/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-people-operations"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-people-operations.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 | $0.00101 | $0.03247 |
| Opus 5 | $0.00051 | $0.01623 |
| Sonnet 5 | $0.00020 | $0.00649 |
| Haiku 4.5 | $0.00010 | $0.00325 |
Grade A, and why
hr-people-operations 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HR people operations
Comprehensive people operations knowledge for HR managers, People Ops specialists, HRIS administrators, and HR generalists — from understanding modern employee lifecycle systems and HR service delivery to designing onboarding, offboarding, data governance, and workflow automation.
Supported tasks
- Explaining people operations concepts and the employee lifecycle for HR teams and managers
- Designing onboarding and pre-boarding workflows from offer acceptance to 90 days
- Building offboarding and transition processes for resignations, terminations, and role changes
- Selecting, implementing, and administering HRIS and core people systems
- Auditing HR data quality, integrity, and single-source-of-truth governance
- Automating repetitive HR workflows using forms, integrations, and AI tools
- Designing HR service delivery models (tiered support, self-service, shared services)
- Writing and maintaining employee handbooks, policies, and process documentation
- Managing employee lifecycle transitions (promotions, transfers, leaves, returns)
- Building HR operations dashboards and SLA tracking for service quality
- Using AI tools to analyze process bottlenecks and draft operational documentation
- Writing process runbooks, intake forms, and operational communication templates
What people operations means in 2026
Modern people operations is no longer:
- "just paperwork and filing employee records"
- "only processing new hire forms in the first week"
- "a single generalist handling every request manually"
In 2026, modern people operations increasingly includes:
- self-service HR portals and AI-assisted employee chatbots
- workflow automation replacing manual forms and email chains
- a single source of truth across HRIS, payroll, and benefits systems
- tiered HR service delivery models separating routine and complex requests
- proactive employee lifecycle journeys, not just reactive transaction processing
- data governance and audit-readiness built into every process
- AI-assisted document generation for policies, letters, and onboarding materials
- experience-driven design applied to onboarding, offboarding, and internal transitions
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 · 337 lines · 101 tokens per session scan A 3974a6bb2351
hr-people-operations is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed 2d ago), licensed MIT. It adds 101 tokens to every session and 3,247 once invoked, about $0.0005 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…