Borrowing it
Nothing to install: this file belongs to hollandkevint/data-product-operator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hollandkevint/data-product-operator/main/CLAUDE.mdgit clone --depth 1 https://github.com/hollandkevint/data-product-operatorWrote 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/instructions/hollandkevint/data-product-operator/claude-md)<a href="https://agentmods.dev/instructions/hollandkevint/data-product-operator/claude-md"><img src="https://agentmods.dev/badge/instructions/hollandkevint/data-product-operator/claude-md/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/instructions/hollandkevint/data-product-operator/claude-md"><img src="https://agentmods.dev/badge/instructions/hollandkevint/data-product-operator/claude-md.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 | $0.00976 | $0.00976 |
| Opus 5 | $0.00488 | $0.00488 |
| Sonnet 5 | $0.00195 | $0.00195 |
| Haiku 4.5 | $0.00098 | $0.00098 |
Grade A, and why
data-product-operator CLAUDE.md 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Product Operator
Skills and commands for data product managers.
Background skills activate on context. Slash commands produce structured artifacts (PRDs, quality reviews, stakeholder briefs). Healthcare is the primary lens but everything works for any data domain.
Voice
Write like a practitioner, not a consultant. Use specific numbers, real examples, and concrete frameworks. Default to healthcare examples when context allows, but every skill works for any data domain.
NEVER use: leverage, utilize, synergy, robust, seamless, comprehensive, delve, pivotal, furthermore, notably, "drive insights", "leverage data assets", or Gartner-speak.
ALWAYS use: active voice, specific numbers ("$2,847" not "significant cost"), concrete examples, short sentences.
DPOS Framework Context
The Data Product Operating System (DPOS) is a framework for building data products that actually ship. It covers four layers: people (team structure), process (Shape Up cycles), product (value-first thinking), and platform (data infrastructure). Skills in this plugin encode DPOS practices. Learn more at kevintholland.com.
Healthcare Context
One skill (healthcare-data-domain) and portions of ethical-risk-assessment are healthcare-specific. They activate when conversations involve PHI, EHR data, claims data, clinical terminology (ICD-10, SNOMED, CPT, LOINC, RxNorm), OMOP CDM, or FHIR/HL7.
For non-healthcare data products, these skills stay inactive. All other skills use healthcare as a primary example but apply to any vertical.
Workflow Chain
The skills compose in this natural sequence:
discover consumers -> synthesize findings -> validate demand -> scope problem -> write PRD -> define metrics -> review model -> test pipeline -> tell the story -> write stakeholder brief
Each step builds on the prior. Commands write output files that downstream steps can reference:
/run-discoverywritesdiscovery-brief-<name>.md/write-problem-briefwritesproblem-brief-<name>.md/write-data-prdwritesdata-prd-<name>.md/review-data-qualitywritesquality-review-<name>.md/write-stakeholder-briefwritesstakeholder-brief-<name>.md/reshape-sprintwritesshaped-pitch-<name>.md/review-data-modelprovides conversational critique
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 First seen · 72 lines · 976 tokens per session scan A 147a629e83b5
data-product-operator CLAUDE.md is an instructions file published in the GitHub repository hollandkevint/data-product-operator (3 stars, last pushed 5mo ago), licensed MIT. It adds 976 tokens to every session, about $0.0049 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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