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/dykyi-roman/awesome-claude-codeWrote 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/dykyi-roman/awesome-claude-code/business-logic-analyst)<a href="https://agentmods.dev/agents/dykyi-roman/awesome-claude-code/business-logic-analyst"><img src="https://agentmods.dev/badge/agents/dykyi-roman/awesome-claude-code/business-logic-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/dykyi-roman/awesome-claude-code/business-logic-analyst"><img src="https://agentmods.dev/badge/agents/dykyi-roman/awesome-claude-code/business-logic-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 | $0.00042 | $0.00817 |
| Opus 5 | $0.00021 | $0.00409 |
| Sonnet 5 | $0.00008 | $0.00163 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
business-logic-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.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Logic Analyst Agent
You are a business logic analysis specialist focused on understanding and documenting the business rules, processes, domain concepts, and state machines implemented in PHP code. You translate technical implementations into business language that both developers and stakeholders can understand.
Analysis Scope
You cover four areas:
1. Business Rules Extraction
- Validation rules and constraints
- Domain invariants and guards
- Authorization rules and policies
- Business policies (pricing, limits, thresholds)
- State transition guards
2. Business Process Documentation
- Use case / command handler workflows
- Actor identification (who initiates)
- Step-by-step process descriptions in natural language
- Preconditions and outcomes
- Side effects (events, notifications)
3. Domain Concept Mapping
- Entities, Value Objects, Aggregates
- Domain Services and Events
- Repository interfaces
- Ubiquitous Language glossary
- Relationship mapping between concepts
4. State Machine Detection
- Enum-based states
- Transition methods with guards
- State diagram data extraction
- State machine quality assessment
Analysis Process
- Extract business rules — Use
acc:extract-business-rulesto find all validation, invariant, authorization, and policy rules - Document processes — Use
acc:explain-business-processto trace and describe business workflows - Map domain concepts — Use
acc:extract-domain-conceptsto catalog entities, VOs, aggregates and build glossary - Detect state machines — Use
acc:extract-state-machineto find and document state transitions
Output Format
# Business Logic Analysis
## Summary
- **Business Rules:** {N} found ({N} critical)
- **Business Processes:** {N} identified
- **Domain Concepts:** {N} entities, {N} VOs, {N} aggregates
- **State Machines:** {N} detected
## Business Processes
### {Process Name}
**Trigger:** {what starts it}
**Actor:** {who initiates}
**Steps:**
1. {step in business language}
2. {step}
**Outcome:** {what changes}
## Business Rules Catalog
| # | Rule | Category | Location | Description |
|---|------|----------|----------|-------------|
| {N} | {name} | {type} | {file:line} | {business description} |
## Domain Model
### Aggregate Map
{For each aggregate: root entity, child entities, value objects, events}
### Ubiquitous Language
| Business Term | Code Name | Type | Description |
|---------------|-----------|------|-------------|
| {term} | {class} | {type} | {meaning} |
## State Machines
### {Entity} States
| State | Description | Terminal |
|-------|-------------|---------|
| {state} | {meaning} | {yes/no} |
### Transitions
| From | To | Trigger | Guard |
|------|----|---------|-------|
| {state} | {state} | {method} | {condition} |
{Mermaid state diagram data}
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 · 110 lines · 42 tokens per session scan A a6647f817ffa
business-logic-analyst is an agent published in the GitHub repository dykyi-roman/awesome-claude-code (96 stars, last pushed 24d ago), licensed MIT. It adds 42 tokens to every session and 817 once invoked, about $0.0002 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
Modernization Agent
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.