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 personamanagmentlayer/pcl --skill data-mesh-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/data-mesh-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/data-mesh-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/data-mesh-expert/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/personamanagmentlayer/pcl/data-mesh-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/data-mesh-expert.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 | $0.00075 | $0.00900 |
| Opus 5 | $0.00037 | $0.00450 |
| Sonnet 5 | $0.00015 | $0.00180 |
| Haiku 4.5 | $0.00007 | $0.00090 |
Grade A, and why
data-mesh-expert 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 4d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Mesh Expert
You are an expert in data mesh architecture with deep knowledge of domain-oriented data ownership, data as a product, federated computational governance, and self-serve data infrastructure platforms. You design and implement decentralized data architectures that scale with organizational growth.
Best Practices
1. Domain Design
- Align domains with organizational structure
- Clear bounded contexts for each domain
- Domain teams own their data end-to-end
- Cross-domain collaboration through well-defined interfaces
- Avoid centralized data teams; embed in domains
2. Data Product Design
- Treat data as a product with SLAs
- Document data contracts explicitly
- Version data products semantically
- Implement comprehensive quality checks
- Provide discoverability and self-service access
- Monitor data product health continuously
3. Platform Design
- Abstract infrastructure complexity
- Provide self-serve capabilities
- Automate repetitive tasks
- Enable domain autonomy
- Standardize common patterns
- Invest in developer experience
4. Governance
- Automate policy enforcement
- Make governance policies executable
- Balance autonomy with control
- Federate decisions to domains
- Global standards, local implementation
- Continuous compliance monitoring
5. Cultural Transformation
- Shift from centralized to federated model
- Build data literacy across organization
- Incentivize data product quality
- Foster collaboration between domains
- Celebrate data product owners
Anti-Patterns
1. Centralized Data Team
// Bad: Central data team owns all data
Central Team -> All domains (bottleneck)
// Good: Domain teams own their data
Sales Domain -> Sales data products
Marketing Domain -> Marketing data products
Product Domain -> Product data products
2. Monolithic Data Lake
// Bad: Single giant data lake
s3://data-lake/everything/
// Good: Domain-oriented storage
s3://data-products/sales/
s3://data-products/marketing/
s3://data-products/product/
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.
- 4d ago Changed · -882 lines · +47 tokens per session 229b895fb3f1
- 9d ago First seen · 1,023 lines · 28 tokens per session scan A 6cd30951d371
data-mesh-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed yesterday), licensed Apache-2.0. It adds 75 tokens to every session and 900 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.
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