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 data-protection-and-encryptiongit 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/data-protection-and-encryption)<a href="https://agentmods.dev/skills/cbrock84/headcount/data-protection-and-encryption"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/data-protection-and-encryption/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/data-protection-and-encryption"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/data-protection-and-encryption.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 | $0.00097 | $0.01016 |
| Opus 5.5 | $0.00039 | $0.00406 |
| Sonnet 5.5 | $0.00019 | $0.00203 |
| Haiku 4.5 | $0.00010 | $0.00102 |
Grade A, and why
data-protection-and-encryption 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data protection and encryption
Perimeter and identity controls protect access to data. These controls protect the data when those have already failed, which is the scenario worth designing for.
Classify before you protect, because you cannot protect everything equally
A short scale beats a detailed one — three or four levels that people can apply without a manual. What matters is that each level carries concrete handling rules: where it may be stored, who may access it, whether it may leave the environment, and how long it is kept.
Find it before you classify it. Sensitive data is rarely only where the architecture says it is: it accumulates in exports, analytics environments, test databases seeded from production, support tickets, and log files.
Know what each kind of encryption actually defends against
This is where claims get made loosely and expectations diverge from reality.
- In transit protects against interception on the network. Enforce it everywhere, including internal service-to-service traffic, and prefer a modern configuration over one accumulated over years.
- At rest, provider-managed protects against physical media theft and disk disposal. It does not protect against an application bug, a compromised credential, or an over-broad query — the storage layer decrypts transparently for anything with legitimate access. Full-disk encryption on a running server protects almost nothing about that server.
- Application-level or field-level protects specific fields from anything below the application, including database administrators and backups. It costs you searchability and indexing on those fields, which is a real design constraint rather than a footnote.
Choose deliberately. "Encrypted at rest" as a blanket assurance usually means the first of these, and answers far less than the person asking believes.
Keys are the whole control
Encryption moves the problem to key management; it does not remove it. A key stored beside the data it protects provides documentation, not protection.
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 b325e8081f43
- 1mo ago First seen · 81 lines · 97 tokens per session scan A bc57a9cb2b0f
data-protection-and-encryption is a skill published in the GitHub repository cbrock84/headcount (2,077 stars, last pushed 2d ago), licensed MIT. It adds 97 tokens to every session and 1,016 once invoked, about $0.0004 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 2026-09-03.
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