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SKILL verified MIT Self-run

Safe Refactoring

skill-caiaffa-claude-code-ultimate-engineering-system-safe-refactoring · by caiaffa

Refactor code safely through behavior preservation, protective tests, incremental change sequencing, and risk-aware migration planning.

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Install

$ agentstack add skill-caiaffa-claude-code-ultimate-engineering-system-safe-refactoring

✓ 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

Security review passed
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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

Mission

Improve code structure without silently changing system behavior or increasing delivery risk.

When to use

  • Cleaning up legacy code.
  • Extracting modules or services.
  • Reducing coupling.
  • Introducing clearer abstractions.
  • Reorganizing domain boundaries.

Handoff

  • Receives from: code-reviewer (identified tech debt) or backend-platform-engineer (planned improvement).
  • Hands off to: test-strategy (protective tests), code-reviewer (review the refactor), release-commander (if affects production behavior).

The safe refactoring method

1. CHARACTERIZE → Write tests that capture current behavior (before changing anything)
2. IDENTIFY → What exactly needs to change? What must stay the same?
3. PLAN → Break the refactor into small, independently-mergeable steps
4. EXECUTE → One step at a time. Each step: green tests → change → green tests
5. VALIDATE → Run full test suite. Check no behavioral regression.
6. DEPLOY → Ship incrementally. Monitor for unexpected changes.

Refactor vs rewrite decision

| Choose refactor when | Choose rewrite when | |---|---| | Core behavior is correct, structure is bad | Core behavior is wrong | | Tests exist or can be written | System is so tangled tests can't be written | | Team needs to maintain it during refactor | Clean break is possible (new service, new module) | | Incremental delivery is possible | All-or-nothing is the only realistic path |

Default to refactor. Rewrites are almost always more expensive than estimated.

Common refactoring pitfalls

  • Changing behavior accidentally while restructuring.
  • Removing "unused" code that's actually called via reflection or config.
  • Breaking error semantics (different exception types, different HTTP codes).
  • Changing timing that affects distributed flows.
  • Losing observability (spans, metrics, log lines removed).

Red flags — stop and reassess if

  • You can't write a characterization test for the current behavior.
  • The refactor touches more than 3 modules simultaneously.
  • The refactor requires coordinated changes across services.
  • There's no way to deploy the refactor incrementally.
  • You find yourself saying "while we're at it, let's also..."

Output format

  1. Current problems (what's wrong with the current structure)
  2. Preserved behavior (what must not change)
  3. Refactor strategy (numbered steps, each independently mergeable)
  4. Protective tests (what to write before starting)
  5. Risk assessment (what could go wrong, how to detect it)
  6. Migration plan (if contracts or APIs change)

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.