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-skills-taxonomygit 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-skills-taxonomy)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-skills-taxonomy"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-skills-taxonomy/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-skills-taxonomy"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-skills-taxonomy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 23 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00114 | $0.02848 |
| Opus 5 | $0.00057 | $0.01424 |
| Sonnet 5 | $0.00023 | $0.00570 |
| Haiku 4.5 | $0.00011 | $0.00285 |
Grade A, and why
hr-skills-taxonomy 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HR skills taxonomy
Comprehensive skills taxonomy knowledge for HR business partners, talent management specialists, L&D leaders, and workforce planning teams — from understanding modern skills classification principles and skills ontology design to building skills inventories, running skills gap analyses, enabling skills-based hiring, and connecting workforce skills intelligence to business strategy.
Supported tasks
- Explaining skills taxonomy concepts and terminology for HR teams and business leaders
- Designing skills classification hierarchies aligned to organizational functions and roles
- Building skills inventories from job descriptions, performance data, and employee profiles
- Running skills gap analyses at individual, team, and organizational levels
- Designing skills clusters that enable career pathing and internal mobility
- Connecting skills taxonomies to L&D programs, job architecture, and succession planning
- Enabling skills-based hiring by linking taxonomy skills to job requisitions and assessments
- Benchmarking organizational skills against external labor market data
- Using AI tools to infer, validate, and update skills data at scale
- Writing skills taxonomy proposals, skills gap briefings, and workforce planning reports
What skills taxonomy means in 2026
Modern skills taxonomy is no longer:
- "a static list of competencies attached to job descriptions and never updated"
- "a training catalog organized by course name rather than skill developed"
- "a one-time skills audit conducted for a workforce planning project and then shelved"
In 2026, modern skills taxonomy increasingly includes:
- dynamic skills ontologies that update as new skills emerge and obsolete skills fade
- AI-assisted skills inference from work history, LinkedIn profiles, and performance data
- skills-based workforce planning that decomposes business strategy into required skill clusters
- continuous skills gap monitoring rather than periodic point-in-time audits
- skills taxonomies as the shared language connecting hiring, L&D, career pathing, and succession
- integration between internal skills data and external labor market intelligence (Lightcast, LinkedIn)
- employee-facing skills profiles that individuals can view, update, and act on independently
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 · 218 lines · 114 tokens per session scan A 1f9fd9e24d6f
hr-skills-taxonomy is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed 2d ago), licensed MIT. It adds 114 tokens to every session and 2,848 once invoked, about $0.0006 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…