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 MarioDeFelipe/sap-datasphere-plugin-for-claude-cowork --skill datasphere-data-product-publishergit clone --depth 1 https://github.com/MarioDeFelipe/sap-datasphere-plugin-for-claude-coworkWrote 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/mariodefelipe/sap-datasphere-plugin-for-claude-cowork/datasphere-data-product-publisher)<a href="https://agentmods.dev/skills/mariodefelipe/sap-datasphere-plugin-for-claude-cowork/datasphere-data-product-publisher"><img src="https://agentmods.dev/badge/skills/mariodefelipe/sap-datasphere-plugin-for-claude-cowork/datasphere-data-product-publisher/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/mariodefelipe/sap-datasphere-plugin-for-claude-cowork/datasphere-data-product-publisher"><img src="https://agentmods.dev/badge/skills/mariodefelipe/sap-datasphere-plugin-for-claude-cowork/datasphere-data-product-publisher.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 | $0.00064 | $0.06957 |
| Opus 5 | $0.00032 | $0.03478 |
| Sonnet 5 | $0.00013 | $0.01391 |
| Haiku 4.5 | $0.00006 | $0.00696 |
Grade A, and why
Data Product Publisher 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 12d 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 — 977 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Product Publisher Skill
Overview
The Data Product Publisher skill guides you through the complete lifecycle of publishing, managing, and monetizing data products in SAP Datasphere. From preparing high-quality data to creating marketplace listings, managing consumer subscriptions, and defining access policies, this skill provides best practices for successful data sharing.
When to Use This Skill
Trigger this skill when you need to:
- Prepare data for sharing with external consumers
- Create a data product listing in the Data Sharing Cockpit
- Define access policies and license terms
- Publish data products to the Datasphere marketplace
- Onboard data consumers and manage access
- Update or deprecate existing data products
- Monitor data product quality and performance
- Manage subscription and licensing compliance
- Establish data governance for shared assets
- Generate insights from data product usage
What Are Data Products in Datasphere?
Business Value of Data Products
Data products are curated, managed, business-ready datasets packaged for consumption by external parties. They transform raw data into valuable strategic assets.
Strategic Benefits:
- Revenue Generation: Monetize internal data assets through data marketplace
- Partner Enablement: Share curated data with partners for joint business initiatives
- Ecosystem Growth: Build data ecosystem attracting new consumers and use cases
- Competitive Advantage: Leverage industry expertise through proprietary datasets
- Operational Efficiency: Enable self-service analytics reducing internal support burden
Business Use Cases:
- Financial services: Credit risk models, market data, transaction datasets
- Retail: Customer demographics, inventory insights, demand forecasting data
- Healthcare: Clinical outcomes, patient cohorts, treatment effectiveness
- Manufacturing: Supply chain data, quality metrics, equipment diagnostics
- Transportation: Route optimization data, fleet analytics, logistics insights
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.
- 12d ago First seen · 977 lines · 64 tokens per session scan A 60d776c336ac
Data Product Publisher is a skill published in the GitHub repository MarioDeFelipe/sap-datasphere-plugin-for-claude-cowork (26 stars, last pushed 4mo ago), licensed MIT. It adds 64 tokens to every session and 6,957 once invoked, about $0.0003 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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