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 paid-advertisinggit 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/paid-advertising)<a href="https://agentmods.dev/skills/cbrock84/headcount/paid-advertising"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/paid-advertising/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/paid-advertising"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/paid-advertising.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 | $0.00078 | $0.00789 |
| Opus 5 | $0.00039 | $0.00394 |
| Sonnet 5 | $0.00016 | $0.00158 |
| Haiku 4.5 | $0.00008 | $0.00079 |
Grade A, and why
paid-advertising 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 8d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid advertising
Paid is the fastest way to buy a result and the fastest way to buy nothing. The difference is mostly discipline before launch.
Before spending
- Know the ceiling. Maximum acceptable acquisition cost, derived from margin and payback period, not from what feels affordable.
- Conversion tracking verified end to end, with a test conversion confirmed in the platform. Optimizing against broken tracking teaches the algorithm the wrong thing, and that damage persists.
- The destination is ready. Paid traffic to a page that does not convert is a donation. Fix the page first — it is cheaper.
Structure
Structure follows intent, since intent determines what a click is worth.
- Search — separate by intent tier: brand, high-intent problem terms, category terms, broad research. Never one budget across all four; the broad terms will consume it.
- Social — structure by audience, since creative fatigue and audience saturation are the two variables and you need to see them separately.
- Enough volume per campaign to exit the learning phase. Over-segmentation starves every campaign of the data it needs.
Naming conventions
Decide the convention before the first campaign, because renaming later breaks historical reporting on every platform.
A workable pattern encodes, in fixed order: channel, objective, audience or intent tier, geography, and creative theme — separated consistently, with no spaces. It should be possible to filter a report by any one of those segments without opening a campaign.
Apply it to every level: campaign, ad set, and ad. Inconsistent naming is why cross-channel reporting takes a week to assemble and why nobody trusts it when it arrives.
Creative
Creative is the biggest lever on paid social and the most neglected.
- Test genuinely different angles, not variations of one. Five headlines around one idea is one test.
- The first frame or line does the work. Assume the rest is not seen.
- Match the ad's promise to the landing page exactly. Mismatch shows up as a bounce you will misdiagnose as a targeting problem.
- Expect fatigue and plan refreshes on a schedule; rising cost with flat conversion rate is usually fatigue, not competition.
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.
- 8d ago Changed · +12 lines df6b780bb17e
- 12d ago First seen · 68 lines · 78 tokens per session scan A b32fe33d6e85
paid-advertising is a skill published in the GitHub repository cbrock84/headcount (1,356 stars, last pushed 9d ago), licensed MIT. It adds 78 tokens to every session and 789 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 2026-08-30.
Other skills, from other repositories
save
Save durable decisions, findings, plans, and implementation knowledge from the visible Codex conversation into a new or existing NeatContext context. Use only when the user explicitly invokes this skill or asks to preserve the current conversation as reusable context.
mode
Show or set NeatContext routing to auto, ask, or manual for Codex, with an optional default shared with every other NeatContext host. Use only when the user explicitly invokes this skill or clearly asks to change routing behavior.
status
Report the NeatContext context and routing mode active in Codex, including missing-file or stale-routing warnings. Use when the user asks which context is connected or explicitly invokes this skill.
list
List the local NeatContext Contexts available to Codex. Use when the user asks what contexts exist, what can be connected, or explicitly invokes this skill.
build-oxpecker-web-app
Build or modify an Oxpecker web application in idiomatic F#, using endpoint routing, functional EndpointHandler and EndpointMiddleware composition, ASP.NET Core metadata, and focused endpoint tests.
go
Compatibility entry for Visual Stack's former /vstack:go command. Runs the wireframe and UI review tool, now called review. Use only when the user invokes /vstack:go.