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SKILL verified MIT Self-run

Refactoring Safely

skill-boparaiamrit-skills-by-amrit-refactoring-safely · by boparaiamrit

Use when changing existing code — restructuring, renaming, extracting, inlining, or migrating. Ensures behavior is preserved through methodical, test-backed transformations.

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Install

$ agentstack add skill-boparaiamrit-skills-by-amrit-refactoring-safely

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Refactoring Safely

Overview

Refactoring changes structure without changing behavior. If behavior changes, it's not refactoring — it's rewriting.

Core principle: Every refactoring step must be verified. If tests break, the refactoring changed behavior.

The Iron Law

NO REFACTORING WITHOUT TESTS PROVING BEHAVIOR IS PRESERVED.

If there are no tests covering the code you're about to refactor, write them first.

When to Use

  • Before: the code needs structural improvement
  • Before: adding a feature requires changing existing structure
  • When: code smells are identified in review or audit
  • When: "I can't add this feature because the code is too tangled"

When NOT to Use

  • Adding new features (that's executing-plans with TDD, not refactoring)
  • Fixing a bug (that's systematic-debugging — behavior SHOULD change)
  • Rewriting from scratch (refactoring preserves behavior; rewriting replaces it)

Anti-Shortcut Rules

YOU CANNOT:
- Refactor and add features in the same commit — separate concerns, separate commits
- Refactor without a green test baseline — no tests means you can't verify preservation
- Batch multiple refactoring steps between test runs — one step, one test run
- Say "it still works, I can tell by looking" — run the tests, read the output
- Refactor production-critical code without approval — risk must be explicit
- Skip characterization tests for untested code — capture behavior before changing it
- Refactor "while you're at it" during a bug fix — scope creep is a red flag
- Force a refactoring pattern that doesn't fit — the code tells you what it needs

Common Rationalizations (Don't Accept These)

| Rationalization | Reality | |----------------|---------| | "This refactor is so small it doesn't need tests" | Small refactors break things too. Run the tests. | | "I'll fix the bug AND clean up the code together" | Two different changes = two different commits. Bug fix first. | | "The tests are slow, I'll run them at the end" | That's batching, not refactoring. Run tests after every step. | | "This code has no tests, I'll refactor carefully" | No tests = no safety net. Write characterization tests first. | | "I know what this code does" | Then prove it with a failing test. If you can't, you don't know enough. | | "Let me rewrite the whole thing, it's cleaner" | Rewriting is not refactoring. Refactoring = incremental, verified steps. |

Iron Questions

1. Are all existing tests GREEN before I start?
2. Is the code I'm refactoring covered by tests? (if not, write characterization tests first)
3. Is this step the SMALLEST possible transformation?
4. Can I finish this step and verify it in under 5 minutes?
5. Did all tests pass AFTER this step? (including tests I didn't write)
6. Does the diff look like PURELY structural change? (no behavior shifts)
7. Am I mixing refactoring with feature work? (if yes, stop and separate)
8. Would reverting this step leave the codebase in a working state?

The Process

Step 1: Baseline

1. RUN all tests — they must be GREEN
2. SAVE the test output (your proof of baseline)
3. IDENTIFY gaps — code you're refactoring but isn't tested
4. IF gaps: Write characterization tests FIRST

Characterization tests: Tests that capture current behavior (even if buggy). They prove you didn't change anything.

1. Call the function with representative inputs
2. Capture the actual output
3. Assert on the actual output
4. This locks existing behavior — now refactor safely

Step 2: Plan Refactoring Steps

1. BREAK into smallest possible steps
2. EACH step should take  3:
    if timeout > 30:

# After
MAX_RETRIES = 3
CONNECTION_TIMEOUT_SECONDS = 30

if retry_count > MAX_RETRIES:
    if timeout > CONNECTION_TIMEOUT_SECONDS:

Replace Conditional with Polymorphism

# Before
def calculate_discount(customer_type, amount):
    if customer_type == "premium":
        return amount * 0.2
    elif customer_type == "regular":
        return amount * 0.1
    else:
        return 0

# After
class DiscountStrategy(ABC):
    @abstractmethod
    def calculate(self, amount): pass

class PremiumDiscount(DiscountStrategy):
    def calculate(self, amount): return amount * Decimal("0.2")

class RegularDiscount(DiscountStrategy):
    def calculate(self, amount): return amount * Decimal("0.1")

Simplify Conditional

# Before
def get_status(user):
    if user.is_active:
        if user.subscription:
            if user.subscription.is_valid():
                return "active"
            else:
                return "expired"
        else:
            return "free"
    else:
        return "inactive"

# After (guard clauses)
def get_status(user):
    if not user.is_active:
        return "inactive"
    if not user.subscription:
        return "free"
    if not user.subscription.is_valid():
        return "expired"
    return "active"

Code Smells That Trigger Refactoring

| Smell | Indicator | Refactoring | |-------|-----------|-------------| | Long method | > 50 lines | Extract function | | God class | > 10 methods doing unrelated things | Extract class | | Feature envy | Method uses another class's data more than its own | Move method | | Data clump | Same 3+ params always together | Extract class/dataclass | | Primitive obsession | Using strings/ints for domain concepts | Create value objects | | Switch statements | Same switch in multiple places | Polymorphism | | Duplicate code | Same logic in 2+ places | Extract and share | | Dead code | Unreachable or unused | Delete it | | Magic numbers | Unexplained constants | Named constants |

Red Flags — STOP

  • Refactoring and adding features in the same commit
  • Refactoring without tests
  • Skipping tests between steps
  • "It still works, I can tell by looking at it"
  • Batch refactoring (multiple changes, tested at the end)
  • Refactoring production-critical code without approval
  • Test count changed after refactoring (unless tests were also refactored)
  • Refactoring "while fixing a bug"

Integration

  • Before: Ensure test baseline exists (test-driven-development)
  • After each step: verification-before-completion
  • After completion: code-review of the full refactoring
  • For guidance: architecture-audit identifies what needs refactoring
  • Throughout: git-workflow for atomic commits

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.