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-intelligencegit 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-intelligence)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-skills-intelligence"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-skills-intelligence/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-intelligence"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-skills-intelligence.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 56 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 | $0.00070 | $0.00795 |
| Opus 5 | $0.00035 | $0.00398 |
| Sonnet 5 | $0.00014 | $0.00159 |
| Haiku 4.5 | $0.00007 | $0.00080 |
Grade A, and why
hr-skills-intelligence 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skills intelligence
Turn raw skills data — from HRIS, learning systems, job postings, and self-reported profiles — into decision-ready intelligence about current capability, emerging skill trends, and future skill demand.
Supported tasks
- Building organization-wide skills inventories from multiple data sources
- Identifying emerging skills relevant to the business that aren't yet present internally
- Forecasting future skill demand based on business and technology trends
- Benchmarking internal skills data against external labor market data
- Designing skills intelligence dashboards for HR and business leaders
- Analyzing skill adjacency to identify reskilling and mobility pathways
- Detecting skill obsolescence risk within specific roles or functions
- Validating self-reported skills data against performance and project data
- Feeding skills intelligence into workforce planning and L&D prioritization
- Tracking skills intelligence trends over time to spot inflection points
- Comparing skills intelligence across business units or geographies
- Communicating skills intelligence findings to non-technical stakeholders
Key prompts
Building the inventory
- "Design a process for building an organization-wide skills inventory from HRIS, LMS, and project data."
- "How should we validate self-reported skills data against actual performance or project evidence?"
- "Build a skills intelligence dashboard structure for [function] showing current capability against business priorities."
- "What data quality checks should we run before trusting skills inventory data enough to act on it?"
Trend and demand analysis
- "Identify emerging skills in [industry/function] that our current workforce likely lacks."
- "Forecast future skill demand for [function] over the next 3 years based on [technology/business trend]."
- "Benchmark our internal skills profile for [function] against external labor market data — where are we ahead or behind?"
- "How reliable are external labor market skills taxonomies for predicting demand in our specific industry?"
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 · 65 lines · 70 tokens per session scan A cdcb573569c9
hr-skills-intelligence is a skill published in the GitHub repository tuanductran/hr-skills (58 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 795 once invoked, about $0.0003 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.
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