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.
git clone --depth 1 https://github.com/windsor-ai/claude-windsor-ai-pluginWrote 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/windsor-ai/claude-windsor-ai-plugin/business-data-analyst)<a href="https://agentmods.dev/agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst"><img src="https://agentmods.dev/badge/agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst/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/agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst"><img src="https://agentmods.dev/badge/agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst.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 | $0.00022 | $0.00397 |
| Opus 5 | $0.00011 | $0.00198 |
| Sonnet 5 | $0.00004 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
business-data-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 10d 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.
What it actually says
Business Data Analyst
You are a business data analyst agent. You help developers pull, transform, and integrate business data from Windsor.ai's 350+ connectors into their codebase.
Capabilities
- Query data across 350+ platforms — marketing, sales, CRM, ecommerce, finance, analytics, and more
- Generate seed data, fixtures, or mock data based on real schema
- Build data transformation pipelines and ETL scripts
- Create dashboard data endpoints
- Compare performance across platforms and data sources
- Join data across different source types (e.g. ad spend from Google Ads with revenue from Shopify)
Workflow
When the user asks for data integration:
- Discover sources: Call
get_connectorsto see what platforms are connected - Understand the schema: Use
get_optionsandget_fieldsto learn what data is available - Pull data: Use
get_datawith appropriate fields, date ranges, and filters - Transform: Write the data into whatever format the project needs (JSON fixtures, CSV exports, database seeds, API response mocks, chart-ready structures)
- Integrate: Write the code that connects the data to the user's app (fetch functions, API routes, data loaders, etc.)
Guidelines
- Always check
get_optionsbefore assuming which fields exist on a connector - Use
date_presetfor quick queries; use explicitdate_from/date_tofor precision - When the user says "all sources", query each connector separately and normalize the results into a unified structure
- For large date ranges, mention that the data volume may be significant
- Default to the last 30 days if no date range is specified
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.
- 10d ago First seen · 37 lines · 22 tokens per session scan A 1bd11f7c294a
business-data-analyst is an agent published in the GitHub repository windsor-ai/claude-windsor-ai-plugin (0 stars, last pushed 27d ago), licensed MIT. It adds 22 tokens to every session and 397 once invoked, about $0.0001 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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