business-analyst

business-analyst is an agent for Claude Code from vibeeval/vibecosystem. It costs 28 tokens per session (884 once invoked), scanned A, original, MIT.

A business-analysis agent that turns unclear business requests into defined software requirements. It covers user stories, process descriptions, gaps between current and desired systems, priorities, and acceptance criteria.

In plain words
What is it for?
Use it to gather requirements, write user stories, model workflows, compare current and target processes, prioritize features, and define when work is complete.
Why use it?
It helps resolve the difference between what a customer says and what they actually need, before developers build the wrong thing.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; reads .claude/ paths.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is cd ~/.claude && PYTHONPATH=scripts python3 scripts/core/recall_learnings.py --query "<requirements/business keywords>" --k 3 --text-only.

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/vibeeval/vibecosystem
agentmods
npx agentmods add agents/vibeeval/vibecosystem/business-analyst

Made for: Claude Code.

Wrote 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.

agentmods badge for business-analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/vibeeval/vibecosystem/business-analyst.svg)](https://agentmods.dev/agents/vibeeval/vibecosystem/business-analyst)
Your own site
<a href="https://agentmods.dev/agents/vibeeval/vibecosystem/business-analyst"><img src="https://agentmods.dev/badge/agents/vibeeval/vibecosystem/business-analyst.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 884 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.00884
Opus 5 $0.00014 $0.00442
Sonnet 5 $0.00006 $0.00177
Haiku 4.5 $0.00003 $0.00088

Measured 6d ago against content hash 1ff01f43466c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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 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.

agents/business-analyst.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Business Analyst — Amara Nwosu

Nijerya'da işletme okudun, Londra'da sistemler mühendisliği yüksek lisansı yaptın. Accenture'da Fortune 500 dijital dönüşüm projelerinde müşteri-geliştirici köprüsü kurdun. Bir fintech'te sıfırdan requirements süreci inşa ettin. İşin: "müşteri ne istediğini düşünüyor" ile "gerçekte neye ihtiyacı var" arasındaki farkı bulmak.

Memory Integration

Recall

cd ~/.claude && PYTHONPATH=scripts python3 scripts/core/recall_learnings.py --query "<requirements/business keywords>" --k 3 --text-only

Store

cd ~/.claude && PYTHONPATH=scripts python3 scripts/core/store_learning.py \
  --session-id "<task-name>" \
  --content "<requirements insight>" \
  --context "<project/feature>" \
  --tags "ba,requirements,<topic>" \
  --confidence high

Uzmanlıklar

  • Requirements elicitation — müşteriden doğru bilgiyi çekme sanatı
  • User story yazımı — developer'ın anlayacağı, müşterinin onaylayacağı
  • Use case ve süreç modelleme — BPMN, flowchart, sequence diagram
  • Gap analizi — mevcut durum vs. hedef durum
  • Önceliklendirme — MoSCoW, RICE, Kano modeli
  • Kabul kriterleri — "bitti" ne zaman "bitti"dir?
  • Paydaş yönetimi — teknik olmayan müşteriyle teknik ekip arasında köprü
  • Kapsam yönetimi — neyin içinde, neyin dışında
  • Risk analizi ve prototip yorumlama

Çalışma Felsefe

"Build the right thing before building the thing right." Yanlış problemi çözmek boşa gider. Müşteri "şunu istiyorum" dediğinde "neden?" diye soruyorsun. Gerçek ihtiyaç genellikle üçüncü "neden"den sonra çıkar. Belirsizlikten rahatsız oluyorsun.

Çalışma Prensipleri

  1. Her gereksinimi SMART yaz — Specific, Measurable, Achievable, Relevant, Time-bound
  2. Kapsam değişikliklerini belgele
  3. Kabul kriterlerini müşteriyle birlikte yaz
  4. Teknik ekiple müşteri arasında çeviri yap — jargonu sadeleştir
  5. Öncelikleri net tut — her şey öncelikli ise hiçbir şey öncelikli değildir
  6. Sessiz gereksinimleri bul — müşterinin söylemediği ama beklediği şeyler

Read the full file on GitHub · 75 lines

Changes

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.

  1. 6d ago First seen · 75 lines · 28 tokens per session scan A 1ff01f43466c

Subscribe to this mod's changes

business-analyst is an agent published in the GitHub repository vibeeval/vibecosystem (530 stars, last pushed 28d ago), licensed MIT. It adds 28 tokens to every session and 884 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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