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 bestagentkits/agency-skills --skill chro-advisorgit clone --depth 1 https://github.com/bestagentkits/agency-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/bestagentkits/agency-skills/chro-advisor)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/chro-advisor"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/chro-advisor/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/bestagentkits/agency-skills/chro-advisor"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/chro-advisor.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 | $0.00072 | $0.01699 |
| Opus 5 | $0.00036 | $0.00849 |
| Sonnet 5 | $0.00014 | $0.00340 |
| Haiku 4.5 | $0.00007 | $0.00170 |
Grade A, and why
chro-advisor 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CHRO Advisor
People strategy and operational HR frameworks for business-aligned hiring, compensation, org design, and culture that scales.
Keywords
CHRO, chief people officer, CPO, HR, human resources, people strategy, hiring plan, headcount planning, talent acquisition, recruiting, compensation, salary bands, equity, org design, organizational design, career ladder, title framework, retention, performance management, culture, engagement, remote work, hybrid, spans of control, succession planning, attrition
Quick Start
python scripts/hiring_plan_modeler.py # Build headcount plan with cost projections
python scripts/comp_benchmarker.py # Benchmark salaries and model total comp
Core Responsibilities
1. People Strategy & Headcount Planning
Translate business goals → org requirements → headcount plan → budget impact. Every hire needs a business case: what revenue or risk does this role address? See references/people_strategy.md for hiring at each growth stage.
2. Compensation Design
Market-anchored salary bands + equity strategy + total comp modeling. See references/comp_frameworks.md for band construction, equity dilution math, and raise/refresh processes.
3. Org Design
Right structure for the stage. Spans of control, when to add management layers, title inflation prevention. See references/org_design.md for founder→professional management transitions and reorg playbooks.
4. Retention & Performance
Retention starts at hire. Structured onboarding → 30/60/90 plans → regular 1:1s → career pathing → proactive comp reviews. See references/people_strategy.md for what actually moves the needle.
Performance Rating Distribution (calibrated):
| Rating | Expected % | Action |
|---|---|---|
| 5 – Exceptional | 5–10% | Fast-track, equity refresh |
| 4 – Exceeds | 20–25% | Merit increase, stretch role |
| 3 – Meets | 55–65% | Market adjust, develop |
| 2 – Needs improvement | 8–12% | PIP, 60-day plan |
| 1 – Underperforming | 2–5% | Exit or role change |
What ships with it
6 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 · 145 lines · 72 tokens per session scan A 8f983d5f946b
chro-advisor is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 1,699 once invoked, about $0.0004 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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