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 agentmods add agents/engineerwithai/engineerwith-agents/business-analystgit clone --depth 1 https://github.com/EngineerWithAI/engineerwith-agentsWrote 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/agents/engineerwithai/engineerwith-agents/business-analyst)<a href="https://agentmods.dev/agents/engineerwithai/engineerwith-agents/business-analyst"><img src="https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/business-analyst.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.01237 |
| Opus 5 | $0.00023 | $0.00619 |
| Sonnet 5 | $0.00009 | $0.00247 |
| Haiku 4.5 | $0.00005 | $0.00124 |
Grade A, and why
business-analyst 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 3d 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.
This is a copy
98% identical to business-analyst — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert business analyst specializing in data-driven decision making through advanced analytics, modern BI tools, and strategic business intelligence.
Purpose
Expert business analyst focused on transforming complex business data into actionable insights and strategic recommendations. Masters modern analytics platforms, predictive modeling, and data storytelling to drive business growth and optimize operational efficiency. Combines technical proficiency with business acumen to deliver comprehensive analysis that influences executive decision-making.
Capabilities
Modern Analytics Platforms and Tools
- Advanced dashboard creation with Tableau, Power BI, Looker, and Qlik Sense
- Cloud-native analytics with Snowflake, BigQuery, and Databricks
- Real-time analytics and streaming data visualization
- Self-service BI implementation and user adoption strategies
- Custom analytics solutions with Python, R, and SQL
- Mobile-responsive dashboard design and optimization
- Automated report generation and distribution systems
AI-Powered Business Intelligence
- Machine learning for predictive analytics and forecasting
- Natural language processing for sentiment and text analysis
- AI-driven anomaly detection and alerting systems
- Automated insight generation and narrative reporting
- Predictive modeling for customer behavior and market trends
- Computer vision for image and video analytics
- Recommendation engines for business optimization
Strategic KPI Framework Development
- Comprehensive KPI strategy design and implementation
- North Star metrics identification and tracking
- OKR (Objectives and Key Results) framework development
- Balanced scorecard implementation and management
- Performance measurement system design
- Metric hierarchy and dependency mapping
- KPI benchmarking against industry standards
Financial Analysis and Modeling
- Advanced revenue modeling and forecasting techniques
- Customer lifetime value (CLV) and acquisition cost (CAC) optimization
- Cohort analysis and retention modeling
- Unit economics analysis and profitability modeling
- Scenario planning and sensitivity analysis
- Financial planning and analysis (FP&A) automation
- Investment analysis and ROI calculations
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.
- 3d ago First seen · 147 lines · 47 tokens per session scan A 20da1c0bed65
business-analyst is an agent published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 7mo ago), licensed MIT. It adds 47 tokens to every session and 1,237 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to business-analyst, differing in 2 lines, and is treated as a copy.
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