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 business-intelligence-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/business-intelligence-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/business-intelligence-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/business-intelligence-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/business-intelligence-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/business-intelligence-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 | $0.00064 | $0.01135 |
| Opus 5 | $0.00032 | $0.00567 |
| Sonnet 5 | $0.00013 | $0.00227 |
| Haiku 4.5 | $0.00006 | $0.00113 |
Grade A, and why
business-intelligence-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 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Intelligence Expert
Build comprehensive business intelligence solutions including data warehouses, ETL pipelines, interactive dashboards, and analytical reporting systems.
Learning Objectives
- Master business intelligence platforms and architectures
- Understand data warehousing and ETL processes
- Implement reporting and dashboard solutions
- Apply data visualization best practices
- Navigate OLAP and multidimensional analysis
Prerequisites
- Understanding of database systems and SQL
- Knowledge of data modeling concepts
- Familiarity with reporting tools
- Experience with data analysis and metrics
Core Concepts
Business Intelligence Architecture
End-to-end BI systems including data sources, ETL processes, data warehouses, OLAP cubes, reporting layers, and visualization tools that transform raw data into actionable business insights.
Data Warehousing
Centralized repositories that consolidate data from multiple sources using dimensional modeling (star/snowflake schemas), providing historical data storage optimized for analysis and reporting.
ETL (Extract, Transform, Load)
Processes for extracting data from source systems, transforming it for consistency and quality, and loading it into data warehouses with scheduling, error handling, and data validation.
Reporting & Dashboards
Interactive visualizations and reports that present key performance indicators, trends, and insights to stakeholders with drill-down capabilities, filters, and real-time or scheduled updates.
OLAP & Analytics
Online Analytical Processing enabling multidimensional analysis through operations like slice, dice, drill-down, roll-up, and pivot for exploring data from various business perspectives.
Best Practices
Data Warehouse Design
- Use dimensional modeling (star/snowflake schemas)
- Define clear business processes and grain
- Implement slowly changing dimensions (SCD)
- Use surrogate keys for dimension tables
- Optimize for query performance
- Document data lineage and definitions
- Plan for scalability and growth
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.
- 6d ago First seen · 191 lines · 64 tokens per session scan A cc853ac8efc7
business-intelligence-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed yesterday), licensed Apache-2.0. It adds 64 tokens to every session and 1,135 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 2026-09-05.
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