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 vigneshbarani24/sap-superpowers --skill analyticsgit clone --depth 1 https://github.com/vigneshbarani24/sap-superpowersWrote 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/vigneshbarani24/sap-superpowers/analytics)<a href="https://agentmods.dev/skills/vigneshbarani24/sap-superpowers/analytics"><img src="https://agentmods.dev/badge/skills/vigneshbarani24/sap-superpowers/analytics/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/vigneshbarani24/sap-superpowers/analytics"><img src="https://agentmods.dev/badge/skills/vigneshbarani24/sap-superpowers/analytics.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 | $0.00053 | $0.02450 |
| Opus 5 | $0.00026 | $0.01225 |
| Sonnet 5 | $0.00011 | $0.00490 |
| Haiku 4.5 | $0.00005 | $0.00245 |
Grade A, and why
analytics 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 6d 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SAP Analytics
This skill enforces correct analytics architecture decisions, ensuring that CDS-based analytics are used for S/4HANA embedded reporting, standard Fiori analytical apps are evaluated before building custom reports, and authorization relevance is never an afterthought in CDS view design.
Content Routing
| Topic | Section |
|---|---|
| SAP Analytics Cloud (SAC) | SAP Analytics Cloud |
| CDS-based embedded analytics | Embedded Analytics in S/4HANA |
| BW/4HANA and data warehousing | BW/4HANA |
| SAP Datasphere | SAP Datasphere |
| Fiori analytical apps | Fiori Analytical Apps |
| Planning models | SAC Planning |
| Live connection vs import | Connection Types |
Iron Laws
- ALWAYS USE CDS-BASED ANALYTICS FOR S/4HANA EMBEDDED REPORTING. Classic SE38/SQ01 reports and BW extractors are technical debt in S/4HANA. CDS views with analytical annotations are the strategic reporting foundation. Every new analytical requirement starts with CDS.
- NEVER BUILD CUSTOM REPORTS WHEN STANDARD FIORI ANALYTICAL APPS EXIST. SAP delivers 500+ analytical Fiori apps. Before writing a single CDS view, search the Fiori Apps Library (fioriappslibrary.hana.ondemand.com) for existing coverage. Custom reports have maintenance costs; standard apps are upgraded by SAP.
- ALWAYS CONSIDER AUTHORIZATION RELEVANCE IN CDS VIEWS. A CDS view without @AccessControl.authorizationCheck annotation defaults to NOT_ALLOWED in strict mode. Every analytical CDS view must have an explicit authorization check or a documented justification for NOT_REQUIRED. Data leaks from missing auth checks are audit findings.
- NEVER MIX LIVE AND IMPORT MODELS WITHOUT ARCHITECTURE JUSTIFICATION. SAC live connections (real-time to HANA/BW) and import models (scheduled data copy) serve different purposes. Mixing them in the same story without documented rationale creates user confusion about data freshness.
- ALWAYS VALIDATE KPI DEFINITIONS WITH BUSINESS OWNERS. A technically correct KPI with a business-incorrect definition is worse than no KPI. Revenue recognition timing, cost allocation methods, and headcount definitions MUST be confirmed with finance/HR before building dashboards.
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.
- 6d ago First seen · 210 lines · 53 tokens per session scan A e4b48deaf879
analytics is a skill published in the GitHub repository vigneshbarani24/sap-superpowers (9 stars, last pushed 17d ago), licensed MIT. It adds 53 tokens to every session and 2,450 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 2026-09-03.
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