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roboco/docs/rag/workflows/rule-enforcement.md
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Claude 20be420ab6 Add Optimal Brain architecture and workflow documentation
- docs/rag/architecture/optimal-brain.md: Complete architecture overview
- docs/rag/workflows/proactive-knowledge.md: Task context injection workflow
- docs/rag/workflows/cross-agent-learning.md: Learning network workflow
- docs/rag/workflows/rule-enforcement.md: Standards validation workflow
2026-01-30 12:20:48 +00:00

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Rule Enforcement

Validate actions against organizational standards before executing.

Pre-Action Validation

Before taking significant actions, check for applicable rules:

roboco_validate_action(
    action_type="create_endpoint",
    context="Adding POST /users endpoint with email/password"
)

Returns:

{
  "status": "validated",
  "allowed": true,
  "violations": [],
  "warnings": ["Consider rate limiting for auth endpoints"],
  "relevant_standards": [
    {"rule": "Use Pydantic for request validation", "severity": "required"},
    {"rule": "Return 201 for successful creates", "severity": "recommended"}
  ]
}

Getting Standards

Retrieve standards before writing code:

# Get coding standards for Python
roboco_get_standards(domain="coding", language="python")

# Get security standards
roboco_get_standards(domain="security")

# Get workflow standards
roboco_get_standards(domain="workflow")

Standard Domains

Domain Covers
coding Style, patterns, naming, structure
security OWASP, auth, input validation
workflow Task lifecycle, handoffs, reviews
testing Coverage, patterns, mocking
api REST conventions, versioning
git Branching, commits, PRs

Code Review

Get automated feedback before committing:

roboco_review_code(
    code="""
def create_user(email: str, password: str):
    user = User(email=email, password=password)
    db.add(user)
    return user
""",
    file_path="api/users.py",
    change_type="add"  # add, modify, delete
)

Returns:

{
  "status": "reviewed",
  "approved": false,
  "score": 65,
  "comments": [
    {
      "line": 2,
      "severity": "error",
      "message": "Password must be hashed before storage"
    },
    {
      "line": 1,
      "severity": "warning",
      "message": "Add Pydantic model for input validation"
    }
  ],
  "standards_checked": ["security-passwords", "api-validation"]
}

Action Types

Common action types for validation:

Action Type Description
create_endpoint Adding API endpoint
add_dependency Adding package/library
database_migration Schema changes
auth_change Authentication/authorization
env_config Environment configuration
file_upload File upload handling
external_api External API integration

Workflow

Before Writing Code

# 1. Get applicable standards
standards = roboco_get_standards(domain="coding", language="python")

# 2. Review the rules
for s in standards["standards"]:
    print(f"[{s['severity']}] {s['rule']}")

Before Committing

# 1. Validate the action
result = roboco_validate_action(
    action_type="create_endpoint",
    context=my_code
)

# 2. Check for violations
if not result["allowed"]:
    for v in result["violations"]:
        print(f"VIOLATION: {v}")
    # Fix before proceeding

# 3. Get code review
review = roboco_review_code(code=my_code, file_path="api/endpoint.py")

# 4. Address comments
if not review["approved"]:
    for c in review["comments"]:
        print(f"[{c['severity']}] Line {c['line']}: {c['message']}")

Severity Levels

Level Meaning
required Must follow, blocks merge
recommended Should follow, may warn
optional Nice to have
deprecated Being phased out

Best Practices

  1. Check standards first - Before writing, know the rules
  2. Validate before commit - Catch issues early
  3. Review your code - Automated feedback helps
  4. Fix violations - Don't ignore required rules
  5. Address warnings - They often prevent future issues