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-workforce-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-workforce-intelligence)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-workforce-intelligence"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-workforce-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-workforce-intelligence"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-workforce-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00066 | $0.00664 |
| Opus 5 | $0.00033 | $0.00332 |
| Sonnet 5 | $0.00013 | $0.00133 |
| Haiku 4.5 | $0.00007 | $0.00066 |
Grade A, and why
hr-workforce-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 5d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HR workforce intelligence
Helps people analytics and HR teams turn workforce data into insight for decision-making, covering headcount analysis, attrition modeling, skills inventories, and reporting.
Supported tasks
- Analyzing headcount trends and workforce composition
- Building attrition risk models and identifying flight-risk indicators
- Conducting pay equity and compensation distribution analysis
- Building skills inventories and mapping capability gaps
- Designing workforce planning dashboards and KPI sets
- Analyzing span of control and organizational layers
- Conducting diversity representation analysis across levels and functions
- Building predictive models for hiring demand
- Analyzing engagement survey data for actionable themes
- Creating workforce data storytelling for executive presentations
- Auditing HR data quality across systems
- Designing workforce intelligence governance (data definitions, access, privacy)
Key prompts
Headcount and composition analysis
- "Analyze headcount trends by department over the last [timeframe]."
- "Break down workforce composition by tenure, level, and function."
- "Analyze span of control across the organization and flag outliers."
- "Identify departments with headcount growth outpacing revenue or output."
- "Build a workforce composition dashboard spec for executive reporting."
Attrition and risk analysis
- "Identify indicators most correlated with voluntary attrition in [dataset description]."
- "Build a flight-risk scoring model based on tenure, performance, and engagement data."
- "Analyze exit interview themes and summarize the top three attrition drivers."
- "Compare attrition rates across manager, function, and location cohorts."
- "Estimate the cost of attrition for [role/function] including replacement and ramp-up cost."
Skills and capability analysis
- "Build a skills inventory template for [function]."
- "Identify capability gaps between current skills and roles required in [X years]."
- "Analyze internal mobility patterns to identify common career pathways."
- "Map skills adjacency to suggest reskilling pathways for [role]."
- "Design a dashboard tracking skills coverage against future workforce needs."
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.
- 5d ago First seen · 67 lines · 66 tokens per session scan A 3b37f3e65412
hr-workforce-intelligence is a skill published in the GitHub repository tuanductran/hr-skills (58 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 664 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 2026-09-07.
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