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 gokulb20/crewm8-cfo-skills --skill headcount-and-comp-planninggit clone --depth 1 https://github.com/gokulb20/crewm8-cfo-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/gokulb20/crewm8-cfo-skills/headcount-and-comp-planning)<a href="https://agentmods.dev/skills/gokulb20/crewm8-cfo-skills/headcount-and-comp-planning"><img src="https://agentmods.dev/badge/skills/gokulb20/crewm8-cfo-skills/headcount-and-comp-planning/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/gokulb20/crewm8-cfo-skills/headcount-and-comp-planning"><img src="https://agentmods.dev/badge/skills/gokulb20/crewm8-cfo-skills/headcount-and-comp-planning.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 | $0.00039 | $0.03984 |
| Opus 5 | $0.00019 | $0.01992 |
| Sonnet 5 | $0.00008 | $0.00797 |
| Haiku 4.5 | $0.00004 | $0.00398 |
Grade A, and why
headcount-and-comp-planning 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 12d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Headcount & Compensation Planning
Guide the company's most important investment decision: who to hire and how to pay them. Model headcount growth, benchmark compensation, design equity frameworks, and ensure hiring plans are affordable and aligned with strategy. Goal: the company has the right people at the right cost at the right time.
Purpose
Headcount is the single largest cost for almost every startup — typically 65-80% of total OpEx — and the most important driver of growth. Hiring the right people at the right time (and not hiring the wrong ones) determines whether the company achieves its goals or burns through its runway. This skill provides the frameworks to plan headcount growth strategically, benchmark compensation competitively, design equity packages that attract talent without excessive dilution, and ensure every hire is a capital allocation decision with a clear ROI.
When to Use
- "Plan our headcount for next year"
- "How many people should we hire?"
- "Benchmark our compensation against the market"
- "Design our equity grant framework"
- "What's the ROI of hiring this team?"
- "Can we afford this hiring plan?"
- "Model the financial impact of our headcount growth"
Inputs Required
- Current headcount — by department, level, location, salary, equity.
- Hiring plan — roles to fill, priority order, target start dates.
- Revenue and runway — from
revenue-forecastingand cash forecasting. - Option pool status — from cap table management.
- Compensation benchmarks — market data, recruiter feedback, offer accept/decline data.
Quick Reference
| Benchmark | Seed | Series A | Series B+ |
|---|---|---|---|
| ARR / Employee | $50-100k | $100-200k | $200-400k |
| People cost as % of OpEx | 60-70% | 65-75% | 70-80% |
| Monthly hiring capacity | 1-2 hires | 2-4 hires | 4-8+ hires |
| Annual voluntary attrition | 10-20% | 10-20% | 10-20% |
| Role Level | Engineering Salary (SF/NYC, Series A) | Equity Grant |
|---|---|---|
| Entry / Junior | $100-130k | 0.1-0.3% |
| Mid-Level | $140-180k | 0.2-0.5% |
| Senior | $180-220k | 0.3-1.0% |
| Staff / Lead | $210-260k | 0.5-1.5% |
| Director | $240-300k | 0.75-2.0% |
| VP / Head of | $280-350k | 1.0-3.0% |
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.
- 12d ago First seen · 270 lines · 39 tokens per session scan A fcf2bf282570
headcount-and-comp-planning is a skill published in the GitHub repository gokulb20/crewm8-cfo-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 3,984 once invoked, about $0.0002 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 2026-08-31.
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