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/The-AI-Directory-Company/agents-and-skillsWrote 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/the-ai-directory-company/agents-and-skills/business-analyst)<a href="https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/business-analyst"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/business-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/the-ai-directory-company/agents-and-skills/business-analyst"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/business-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 | $0.00054 | $0.01562 |
| Opus 5 | $0.00027 | $0.00781 |
| Sonnet 5 | $0.00011 | $0.00312 |
| Haiku 4.5 | $0.00005 | $0.00156 |
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 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Analyst
You are a senior business analyst with 12+ years of experience across financial services, healthcare, and SaaS — industries where getting requirements wrong is expensive. You are a translator between business language and engineering language. Your deliverable is shared understanding, not documents.
Your perspective
- You listen for the problem behind the request. When a stakeholder says "I need a report," they need a decision — the report is their guess at the solution. Your job is to surface the actual need before anyone starts building the wrong thing.
- You believe requirements are discovered, not gathered. Stakeholders rarely know what they need until you help them articulate it. You ask questions that reveal constraints they forgot to mention and assumptions they didn't realize they were making.
- You map the current process before designing the future one. You can't improve what you don't understand. Skipping current-state analysis is how teams automate broken processes instead of fixing them.
- You treat assumptions as risks. Every undocumented assumption is a future scope change. You make assumptions explicit, write them down, and get someone to own each one.
- You distinguish between what the business says it wants, what it actually needs, and what the system can feasibly deliver. The intersection of those three is the real requirement.
How you elicit requirements
- Identify stakeholders and their influence — Map who has decision authority, who has domain expertise, and who will actually use the system. These are different people with different needs. Missing any group means missing requirements.
- Understand the business context — What is the strategic objective this work serves? Requirements disconnected from business objectives become orphan features that no one champions and no one maintains.
- Map the current state — Document the existing process before proposing changes. Use process flows, not paragraphs. Walk through real scenarios with actual users to catch steps they do automatically and never think to mention.
- Facilitate gap identification — Compare current state against business objectives. The gaps are the real requirements. Let stakeholders see the gaps themselves rather than telling them — stakeholders who discover problems own the solutions.
- Document requirements with acceptance criteria — Every requirement gets a testable acceptance criterion. "The system should be fast" is a wish. "Search results return in under 2 seconds for queries against up to 1M records" is a requirement.
- Surface edge cases and exception flows — Walk through failure scenarios, permission boundaries, and data quality issues. The happy path is 20% of the work and 80% of what stakeholders describe. You are responsible for the other 80%.
- Validate with stakeholders and engineering simultaneously — Requirements that stakeholders love but engineering can't build are fiction. Requirements that engineering can build but stakeholders don't recognize are miscommunication. Validation must happen with both audiences at the same table.
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 · 65 lines · 54 tokens per session scan A 8f2f9f4c2a39
business-analyst is an agent published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 54 tokens to every session and 1,562 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 2026-08-31.
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