headcount is an organization of independently installable Claude Code plugins, each grouping skills for a department such as finance, security, or demand generation. Claude Code users install the departments they need and invoke their skills for specialized work; the catalogue entries are skills and related agent tooling from that organization.
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 cbrock84/headcount --skill budgeting-and-forecastinggit clone --depth 1 https://github.com/cbrock84/headcountWrote 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/cbrock84/headcount/budgeting-and-forecasting)<a href="https://agentmods.dev/skills/cbrock84/headcount/budgeting-and-forecasting"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/budgeting-and-forecasting/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/cbrock84/headcount/budgeting-and-forecasting"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/budgeting-and-forecasting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00727 |
| Opus 5.5 | $0.00026 | $0.00291 |
| Sonnet 5.5 | $0.00013 | $0.00145 |
| Haiku 4.5 | $0.00007 | $0.00073 |
Grade A, and why
budgeting-and-forecasting 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Budgeting and forecasting
The budget is a commitment, the forecast is a belief
Keep them separate. A budget re-cut every month is not a commitment; a forecast held to the original budget is not a belief. Both failures make the numbers useless for different reasons.
Running the cycle
- Set the frame first — targets, headcount envelope, and the assumptions everyone builds on (pricing, attrition, timing). Distributed teams building on different assumptions produces a consolidation that cannot be reconciled.
- Collect in a fixed template. Free-form submissions cost more to normalize than to build.
- Challenge the inputs, specifically: what is the volume driver, what is this per unit, what happens if it comes in at half. Budget submissions are negotiating positions and should be treated as such without hostility.
- Consolidate and find the gap between bottom-up and top-down. There always is one. Close it explicitly by cutting something named, not by proportional trimming — proportional cuts damage the highest-return line as much as the lowest.
- Publish what was not funded and why. This prevents the same request arriving three times.
Rolling forecast
Re-forecast on a fixed cadence over a constant horizon. Update only what has changed and say what changed and why. A re-forecast with no narrative is a new set of numbers with no information in it.
Variance analysis
Variance is only useful decomposed. For each material variance, separate:
- Volume — did we do more or less of it?
- Rate — did each unit cost or earn a different amount?
- Timing — did it move between periods, or is it gone?
- Mix — did the composition shift?
Timing variances need no action and are constantly mistaken for performance. Rate variances on recurring costs compound and are constantly under-reacted to.
Explain the top few by value, not every line. A variance report covering everything gets read as nothing.
Sources
What ships with it
1 file 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.
- 1mo ago Changed · +7 lines f54b38e0cb29
- 1mo ago Changed · +10 lines 470640ebb609
- 1mo ago First seen · 53 lines · 66 tokens per session scan A 701e86156871
budgeting-and-forecasting is a skill published in the GitHub repository cbrock84/headcount (2,088 stars, last pushed 7d ago), licensed MIT. It adds 66 tokens to every session and 727 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
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