Cleanup Defensive
Skill Verifiziert AktivRemove pointless try/catch blocks and defensive guards that hide errors or add no value. Preserves catches at true system boundaries (HTTP handlers, CLI entry, message consumers). Use when the user asks to remove try/catch, fix error hiding, clean up defensive code, or stop swallowing errors. Example queries — "remove pointless try/catch", "we're swallowing errors", "stop hiding bugs in catch blocks", "clean up the defensive code".
To improve code quality and reliability by eliminating error-hiding defensive code and ensuring errors propagate correctly to system boundaries.
Funktionen
- Removes pointless try/catch blocks
- Cleans up defensive null-checks
- Preserves catches at system boundaries
- Supports multiple languages (TS/JS, Python, Go, Rust)
- Generates assessment reports
Anwendungsfälle
- When users ask to remove try/catch blocks
- When users report errors being hidden or swallowed
- When cleaning up defensive code patterns
- Improving code robustness by surfacing real errors
Nicht-Ziele
- Removing essential error handling at system boundaries
- Modifying error handling in Go's `if err != nil` patterns
- Removing `unwrap()` in Rust without proper replacement
- Swallowing errors silently or returning null on failure
Workflow
- Identify language and project state (preflight).
- Scan for try/catch blocks or defensive error patterns.
- Categorize findings (Rethrow only, Swallow, Log+Rethrow, Substantive, Boundary).
- Generate a markdown report detailing findings.
- Automatically remove 'HIGH' confidence findings (pointless try/catch).
- Defer 'MEDIUM' findings (e.g., log+rethrow) for human review.
- Verify changes with tests; revert if tests uncover real bugs.
Praktiken
- Code Quality
- Refactoring
- Error Handling
Trust
- info:Issues Attention1 issue opened, 0 closed in the last 90 days. Maintainer engagement appears low or inactive.
Installation
npx skills add raintree-technology/claude-starterFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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