zereight/gitlab-mcp

ai-slop-cleaner

Clean AI-generated code slop with regression-safe workflow.

Vedi sorgente

Come usare

  1. Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
  2. Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
  3. Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/zereight/gitlab-mcp --skill ai-slop-cleaner

Prima di iniziare

  • L’installazione non include abbonamenti, quote API o accesso ai file.
  • Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Documento Skill originale

Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.

AI Slop Cleaner

Clean AI-generated code slop without changing behavior. Deletion-first workflow with regression safety.

When to Use

  • Code that works but feels bloated, repetitive, or over-abstracted
  • Duplicate logic, dead code, wrapper layers, boundary leaks
  • --review for reviewer-only mode (no changes, just findings)

When NOT to Use

  • New feature build or product change
  • Broad redesign
  • Behavior is unclear and untestable

Principles

  • Preserve behavior unless explicitly asked for changes
  • Delete before refactoring — removal is safest
  • Scope-bounded: only clean what was specified
  • Regression-safe: verify tests pass after every change

Slop Signals

  • Unnecessary wrapper functions
  • Duplicated logic across files
  • Over-abstracted single-use helpers
  • Dead code / unreachable branches
  • Excessive comments restating obvious code
  • Premature abstractions (used only once)

Workflow

  1. Identify target files/scope
  2. Run existing tests (baseline)
  3. Apply deletions first (dead code, unused imports)
  4. Simplify remaining code (reduce nesting, merge duplicates)
  5. Re-run tests after each change
  6. Report what was cleaned and verification results
dallo stesso repository

Altri Skills

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