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 agentmods add skills/cbrock84/headcount/customer-researchnpx skills add cbrock84/headcount --skill customer-researchgit 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/customer-research)<a href="https://agentmods.dev/skills/cbrock84/headcount/customer-research"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/customer-research.svg" alt="Measured on agentmods" 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 | $0.00079 | $0.00493 |
| Opus 5 | $0.00039 | $0.00246 |
| Sonnet 5 | $0.00016 | $0.00099 |
| Haiku 4.5 | $0.00008 | $0.00049 |
Grade A, and why
customer-research 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 yesterday.
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.
What it actually says
Customer research
Research earns its cost only if a decision hangs on it. Name that decision before recruiting anyone.
Choose the method by question
- Why did this happen / what do they actually do — interviews. Small n, deep.
- How common is this — survey. Only after interviews have told you what to ask; a survey written from assumptions returns your assumptions.
- Why did we win or lose — win-loss, with losses weighted higher. Losses are where the truth is and are systematically under-sampled.
- Which framing works — message testing against a real choice, not a preference rating.
Interviewing
Ask about the past, not the future. "What did you do last time" is evidence; "would you use this" is politeness.
- Open broad, follow the energy, and go quiet after their first answer — the second one is where the substance is.
- Chase specifics: when, what happened next, what did that cost you, who else was involved.
- Never describe your solution before you have their problem in their words. Once they know what you want to hear, the interview is over.
- Watch for the workaround. Anything someone has built a spreadsheet to survive is a validated problem.
Synthesizing
Code the transcripts before forming a view — findings assembled to support an existing belief will be. For each finding record: the claim, how many independently said it, a verbatim quote, and what would change if it is true. A finding that changes nothing is trivia.
Separate what people said, what they did, and what you inferred. Conflating the three is the most common way research misleads.
Never
- Recruit only happy customers. The sample that answers your email is not your market.
- Lead: "How much would this feature help?" has one answer.
- Present a single interview as a finding.
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.
- yesterday First seen · 46 lines · 79 tokens per session scan A 2343f67eb3d4
customer-research is a skill published in the GitHub repository cbrock84/headcount (1,247 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 493 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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