Contextvar Opportunity Finder

Contextvar Opportunity Finder

An intelligent grep tool that finds all explicit user_id usage patterns in Python code. Reports findings with context for human review.

Core Principle

This is a detection-only skill - It finds and reports all instances of explicit user_id usage without making judgments about correctness.

Read every file completely, one at a time, and report findings for EACH file before moving to the next. No shortcuts, no grep tricks, no "I'll infer from patterns". Complete reads only!

What it does: Scans code, detects patterns, reports everything it finds.

What it doesn't do: Make recommendations, filter results, or determine what's "right" or "wrong".

Detection Patterns

Pattern 1: Direct user_id Parameter

Look for functions with user_id in their parameters:

def function_name(..., user_id: str, ...):
def function_name(..., user_id: Optional[str], ...):
def function_name(..., user_id=None, ...):

Pattern 2: user_id Extraction from Dicts/Objects

Look for functions extracting user_id from parameters:

def function_name(self, context: Dict[str, Any]):
    user_id = context.get('user_id')

def function_name(self, event):
    user_id = event.user_id

Pattern 3: Redundant Context Setting

Look for code that sets context then passes user_id:

set_current_user_id(user_id)
result = some_function(user_id)  # Passing after setting

Pattern 4: Threading Through Layers

Look for user_id passed through multiple function calls:

def handle_request(user_id):
    result = process_data(user_id)

def process_data(user_id):
    return validate_data(user_id)

def validate_data(user_id):
    # Three layers deep

Pattern 5: Bad Dual-Mode Pattern

Constructor accepts optional user_id but methods still require it:

class Service:
    def __init__(self, user_id: Optional[str] = None):
        self.user_id = user_id or get_current_user_id()

    def get_data(self, user_id: str):  # Still requires parameter!
        # Ignores self.user_id

Pattern 6: Convenience Function Wrappers

Functions that exist only to extract user_id and pass it:

def store_api_key_for_current_user(service_name: str, api_key: str):
    user_id = get_current_user_id()
    service.store_credential(user_id, 'api_key', service_name, api_key)

Pattern 7: Request Body User IDs

Models/endpoints accepting user_id in request payloads:

class LogoutRequest(BaseModel):
    user_id: str  # Security risk!

Context Clues to Report

When reporting each instance, note these surrounding context clues:

Class/Inheritance Context

• What class is the method in?
• What does the class inherit from?
• Is it a service, repository, API handler, etc?

Function Context

• Function name
• Decorators on the function
• Parameters beyond user_id
• Return type annotations

Call Context

• What's calling this function?
• What's this function calling with user_id?
• Is it part of a chain of calls?

Code Patterns

• Is there set_current_user_id() nearby?
• Is there get_current_user_id() in the same class/file?
• Are there convenience wrappers around this function?
• Does the constructor have a different pattern than methods?

File/Module Context

• Filename and path
• What kind of module is it? (api/, services/, repositories/, tools/, etc)
• Import statements that might indicate usage patterns

Investigation Process

1. Find all user_id parameters in the file or directory
2. Detect which pattern it matches (1-7)
3. Note the context clues around each instance
4. Report everything found without filtering

Output Format

## Explicit user_id Usage Report

**Found N instances across M files**

### path/to/file.py
Line X: def function_name(self, user_id: str, data: Dict):
  Pattern: Direct user_id parameter
  Context: Method in SomeClass, inherits from BaseClass

Line Y: user_id = event.user_id
  Pattern: Extracting from object
  Context: Inside handle_event() method

Line Z: self.some_service.process(user_id, ...)
  Pattern: Threading through layers
  Context: Calling another service with user_id

### path/to/another.py
Line A: def __init__(self, user_id: Optional[str] = None):
        self.user_id = user_id or get_current_user_id()
Line B: def store_data(self, user_id: str, ...):
  Pattern: Bad dual-mode pattern
  Context: Constructor has dual-mode but methods require explicit

Line C: set_current_user_id(user_id)
        result = service.method(user_id)
  Pattern: Redundant context setting
  Context: Sets ambient context then passes explicitly

### path/to/models.py
Line D: class SomeRequest(BaseModel):
            user_id: str
  Pattern: Request body user_id
  Context: Pydantic model for API endpoint

... continues for all findings ...

The report simply shows:

• Where user_id appears
• What pattern it matches
• Basic context about its location
• No judgments about correctness

What This Tool Does NOT Do

• Does NOT determine if explicit user_id is "wrong"
• Does NOT prescribe specific fixes
• Does NOT judge architectural decisions
• Does NOT whitelist certain files or patterns
• Does NOT make recommendations

This is purely an investigation tool that surfaces instances for human review.

What This Tool Finds

1. All functions/methods with user_id parameters
2. Places where user_id is extracted from objects or dicts
3. Chains of functions passing user_id through multiple layers
4. Classes with inconsistent patterns (constructor vs methods)
5. Wrapper functions that exist just to handle user_id
6. API models accepting user_id in request bodies
7. Places where context is set but user_id is still passed

Quick Reference

Summary

This is an intelligent grep tool for finding user_id usage patterns. It:

• DOES: Find all instances of explicit user_id usage
• DOES: Detect which pattern each instance matches
• DOES: Report context clues around each finding
• DOES NOT: Judge whether any instance is "wrong"
• DOES NOT: Make recommendations
• DOES NOT: Filter results

Think of it as "grep for user_id patterns" with better context awareness.