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 frank-luongt/faos-skills-marketplace --skill hr-operationsgit clone --depth 1 https://github.com/frank-luongt/faos-skills-marketplaceWrote 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/frank-luongt/faos-skills-marketplace/hr-operations)<a href="https://agentmods.dev/skills/frank-luongt/faos-skills-marketplace/hr-operations"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/hr-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/frank-luongt/faos-skills-marketplace/hr-operations"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/hr-operations.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 | $0.00000 | $0.02857 |
| Opus 5.5 | $0.00000 | $0.01143 |
| Sonnet 5.5 | $0.00000 | $0.00571 |
| Haiku 4.5 | $0.00000 | $0.00286 |
Grade A, and why
hr-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 1mo 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 — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: hr-operations description: Manage hiring pipelines, analyze compensation data, create performance review templates, and design onboarding checklists. Use when building HR processes, conducting comp analysis, designing review cycles, or structuring employee onboarding. tags: [hr, hiring, compensation, performance-management]
HR Operations
Operational HR framework for hiring pipeline management, compensation analysis, performance reviews, and employee onboarding. Covers the process-oriented side of people operations — not strategic workforce planning (which is the CHRO agent's domain).
Use this skill when
- Designing or analyzing a hiring pipeline (stages, conversion rates, time-to-fill)
- Conducting compensation benchmarking and pay band analysis
- Creating performance review templates and calibration processes
- Building employee onboarding checklists (pre-start through 90 days)
- Calculating HR metrics (attrition, eNPS, cost-per-hire)
- Designing org-level review cycles
Do not use this skill when
- Setting company-wide people strategy or culture (use CHRO agent directly)
- Planning OKRs or goal-setting frameworks (use
brainstorm-okrs) - Running employee engagement surveys (use CHRO agent for strategy)
- Handling legal employment matters (use
legal-contract-reviewfor contract aspects)
Instructions
- Identify the HR operation — hiring, compensation, performance, or onboarding.
- Apply the relevant framework from the sections below.
- Use templates to standardize output across the organization.
- Track metrics using the HR Metrics Framework for ongoing measurement.
Hiring Pipeline Dashboard
Pipeline Stages & Benchmarks
| Stage | Description | Target Conversion | Target Duration |
|---|---|---|---|
| Sourced | Candidate identified (inbound or outbound) | — | — |
| Applied / Screened | Resume review passed | 20-30% of sourced | 2-3 days |
| Phone Screen | Recruiter screen completed | 40-60% of screened | 3-5 days |
| Technical / Skills Assessment | Skills evaluation passed | 30-50% of phone screens | 5-7 days |
| Onsite / Final Interview | Full interview loop completed | 50-70% of assessments | 5-10 days |
| Offer Extended | Offer made | 70-90% of onsites | 2-3 days |
| Offer Accepted | Candidate accepts | 80-90% of offers | 3-7 days |
| Started | First day completed | 95%+ of accepted | Per start date |
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.
- 1mo ago First seen · 290 lines · 0 tokens per session scan A 9ecb4b488c7e
hr-operations is a skill published in the GitHub repository frank-luongt/faos-skills-marketplace (37 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,857 tokens. 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 2026-08-30.
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