legacy-code-interpreter
npx machina-cli add skill a5c-ai/babysitter/legacy-code-interpreter --openclawLegacy Code Interpreter Skill
Deep analysis and interpretation of legacy code to understand undocumented behavior, extract business logic, and characterize system functionality.
Purpose
Enable legacy code understanding for:
- Business logic extraction
- Undocumented feature discovery
- Behavior characterization
- Migration planning
- Knowledge preservation
Capabilities
1. Business Logic Extraction
- Parse conditional logic
- Extract calculation formulas
- Identify validation rules
- Document decision trees
2. Undocumented Feature Discovery
- Find hidden functionality
- Identify feature flags
- Discover Easter eggs
- Map admin features
3. Control Flow Analysis
- Trace execution paths
- Map state machines
- Identify loops and recursion
- Document entry points
4. Data Flow Tracking
- Trace data transformations
- Map input to output
- Identify side effects
- Document state changes
5. Side Effect Identification
- Find external calls
- Identify I/O operations
- Map database operations
- Document messaging
6. Behavior Characterization
- Create behavior summaries
- Generate pseudo-code
- Document edge cases
- Map error handling
Tool Integrations
| Tool | Purpose | Integration Method |
|---|---|---|
| Understand (SciTools) | Deep analysis | CLI / API |
| Lattix | Architecture analysis | CLI |
| CodeScene | Behavioral analysis | API |
| Sourcetrail | Code exploration | CLI |
| ast-grep | Pattern matching | MCP / CLI |
Output Schema
{
"analysisId": "string",
"timestamp": "ISO8601",
"interpretation": {
"businessLogic": [
{
"name": "string",
"location": "string",
"description": "string",
"pseudoCode": "string",
"inputs": [],
"outputs": [],
"sideEffects": []
}
],
"controlFlow": {
"entryPoints": [],
"stateMachines": [],
"criticalPaths": []
},
"dataFlow": {
"transformations": [],
"stateChanges": []
},
"undocumented": []
}
}
Integration with Migration Processes
- legacy-codebase-assessment: Primary interpretation tool
- migration-planning-roadmap: Knowledge source
Related Skills
static-code-analyzer: Structural analysisknowledge-extractor: Documentation mining
Related Agents
legacy-system-archaeologist: Uses for excavation
Source
git clone https://github.com/a5c-ai/babysitter/blob/main/plugins/babysitter/skills/babysit/process/specializations/code-migration-modernization/skills/legacy-code-interpreter/SKILL.mdView on GitHub Overview
Legacy Code Interpreter analyzes old codebases to reveal undocumented behavior, extract business logic, and characterize system functionality. This enables migration planning, feature discovery, and knowledge preservation across teams.
How This Skill Works
It performs deep analysis using integrated tools (Understand, Lattix, CodeScene, Sourcetrail, ast-grep) to trace control flow, data flow, and side effects. The results are organized into an interpretation payload that includes businessLogic, controlFlow, dataFlow, and undocumented elements for migration and documentation.
When to Use It
- When planning migration of a legacy system to a modern stack
- When undocumented behavior or hidden features must be discovered
- When extracting business logic, validation rules, and decision trees
- When mapping data transformations and external side effects
- When preserving knowledge for onboarding and audit trails
Quick Start
- Step 1: Target a legacy module and initialize analysis with legacy-code-interpreter
- Step 2: Run deep analysis to generate businessLogic, controlFlow, and dataFlow interpretations
- Step 3: Review the interpretation and attach documentation to the output schema
Best Practices
- Define target modules and scope before analysis
- Cross-check findings with existing docs and tests
- Document each business rule with inputs/outputs and pseudo-code
- Capture entry points, state machines, and edge cases
- Record external calls, I/O, and database interactions for traceability
Example Use Cases
- Extract pricing calculations from a legacy billing module
- Identify feature flags and admin tools in an old CMS
- Map ETL data transformations in a legacy data warehouse
- Characterize error handling and edge cases in a legacy service
- Discover undocumented features or Easter eggs in a legacy app