A mandatory cleanup utility that removes common AI-generated coding artifacts like redundant comments and filler phrases.
Install
mkdir -p .claude/skills/scrub && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/19305" && unzip -o skill.zip -d .claude/skills/scrub && rm skill.zipInstalls to .claude/skills/scrub
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Scan recent changes for AI-generated slop -- redundant comments, over-abstraction, generic UI defaults, and design tells -- and optionally apply safe automated fixes. Use after a code-generation or refactor pass to remove the visible signs of machine authorship before review.Key capabilities
- →Scan code for AI-generated comment rot
- →Detect over-abstracted code structures
- →Identify generic UI defaults
- →Apply automated safe fixes for machine-generated artifacts
How it works
The scanner parses code files to detect patterns like redundant comments or filler phrasing, then optionally applies safe automated fixes to remove them.
Inputs & outputs
When to use scrub
- →Remove redundant AI comments after generation
- →Clean up code before submitting a PR
- →Standardize formatting for human readability
About this skill
Scrub
Core Rules
Local loop/review scrubs are read-only advisory scans. Cosmetic lint/style
findings are LOW and are not Done Criteria. Report them and explicitly ask the
user before cleanup; no answer is not approval. Use -Advisory, never -Fix
during the unapproved scan. See .github/AGENT-PROTOCOL.md section 4.
Do not reclassify real build, correctness, security, reliability or accessibility defects as cosmetic lint. Independent default/production, CI and commit gates remain unchanged; report their failures rather than claiming they passed.
When to Use / Not Use
Use after generation, refactor, or a large patch; before a PR or review handoff; after approval but before merge; periodically on machine-heavy directories. No prerequisites -- it runs standalone through the Frontier CLI.
When NOT to Use
- During active debugging -- focus on correctness first
- On generated code that is intentionally machine-owned (build output, OpenAPI clients)
- On vendored third-party files
- As a substitute for code review -- scrub catches presentation, review catches behavior
What Counts As Slop
| Category | Examples | Proposed cleanup after approval |
|---|---|---|
| Comment rot | // This function handles the logic for X, // Helper to do thing, naked // TODO | Delete |
| Restating the obvious | // Increment counter above counter++ | Delete |
| Dead code | Commented-out code blocks of 4+ code-like lines | Delete |
| AI filler phrasing | Phrases like "Note that", "To", or "Next" when they add no meaning | Rewrite or delete |
| Duplicate logic | Repeated normalized code blocks within one file | Consolidate manually (flag only) |
| Over-abstraction | Single-use interface, factory wrapping one constructor, getter-only class | Inline manually (flag only) |
| Generic UI defaults | bg-gradient-to-r from-purple-500 to-blue-500, placeholder lorem ipsum | Replace with brand palette (flag only) |
| Stale boilerplate | Created by ... on ..., Last modified by ... | Delete |
| Empty try/catch | catch (e) { /* ignore */ } with no logging | Flag for review |
Code-slop is about presentation, not behavior. Anything that changes runtime semantics is out of scope -- send it to the reviewer.
Decision Tree
Recent diff contains machine-generated text?
+- No -> skip
+- Yes -> run scanner
+- Findings, all in flag categories -> human triage required
+- Cosmetic findings -> LOW report; explicitly ask before cleanup
+- No findings -> done
Workflow
1. Scan
Run the scanner over the directory or files that changed. Invoke it through the Frontier CLI so it resolves the bundled scanner in zero-copy workspaces (a literal scripts/scrub.ps1 path does not exist there):
pwsh .frontier/runtime/frontier.ps1 scrub -Path src/components -Advisory
Advisory mode preserves originalSeverity, safeFix capability and
productionBlocker metadata. It reports local candidates as LOW and exits
successfully after a complete scan, not because the code is lint-clean.
Missing/unreadable targets still fail. -Advisory rejects -Fix and
-Production combinations.
Separate production checks retain their stricter behavior:
pwsh .frontier/runtime/frontier.ps1 deslop -Path src/components -Production
pwsh .frontier/runtime/frontier.ps1 antislop -Path src/components -Production
deslop and antislop are aliases for the same scanner. Preserve the original
strict-gate result in reports. -Production retains these blocking categories:
| Category | Why It Blocks Production |
|---|---|
duplicate-logic | Repeated validation, mapping, parsing, or error handling can drift after release. |
empty-catch | Swallowed failures hide production incidents and make support harder. |
generic-gradient | AI-default UI styling is not release-ready without product/design intent. |
ai-filler | Filler copy in release docs or product surfaces weakens operator trust. |
2. Report and Ask
Report LOW cosmetic findings with their locations and original tool severities. Exclude intentional fixtures and false positives from cleanup recommendations. Ask, "Would you like me to fix these lint/style findings?" and name the proposed scope. Do not make cleanup a prerequisite for the completed implementation. No response or a decline leaves the findings unchanged.
3. Apply Safe Fixes
Only after reporting findings and receiving explicit user approval for the
specific cleanup scope, run -Fix in a separate bounded task:
pwsh .frontier/runtime/frontier.ps1 scrub -Path src/components -Fix
Safe-fix categories (v1):
- Comment rot in code files
- Restating the obvious
- Stale
Created by/Last modified byheaders - Commented-out code blocks
Unsafe categories require manual edits and are flag-only:
- Duplicate logic (requires refactor judgment)
- Over-abstraction (refactor judgment)
- Generic UI defaults (brand decisions)
- Empty try/catch (might be intentional in narrow cases)
4. Verify
After fixes:
- Use non-test verification during the cleanup loop; offer suites only after completion and separate approval under the test-consent policy.
- Re-run the scanner. The remaining findings are the manual-triage list.
- For release candidates, re-run with
-Productionand clear or justify every production blocker. - Commit fixes as a single change with
chore: scrub <area>.
Done Criteria
- Local advisory scan is complete and findings are reported; cosmetic cleanup is not required for local completion
- Production-release runs report zero production blockers, or every blocker has a documented release-owner waiver
- No cleanup occurred without approval; unexecuted tests remain not run
- Diff from
--fixis small, mechanical, and reviewable line-by-line - No behavior change introduced
Anti-Patterns
- Running
--fixor a formatter without explicit cleanup approval - Hiding findings or reporting an advisory exit code as clean lint
- Using scrub to refactor logic -- it is a presentation pass only
- Treating LOW findings as required fixes -- they are signals, not gates
Related Skills
- Code Hygiene -- broader cleanup discipline including dead code and over-engineering
- Code Review -- behavioral review that runs alongside scrub
- Karpathy Guidelines -- the underlying behavioral contract that prevents slop in the first place
When not to use it
- →During active debugging
- →On machine-owned build output
- →On vendored third-party files
Limitations
- →Safe-fix categories are limited to specific patterns like comment rot
- →Unsafe categories require manual triage
How it compares
It specifically targets machine-authorship indicators to improve readability before human review rather than performing functional refactoring.
Compared to similar skills
scrub side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| scrub (this skill) | 0 | 3mo | No flags | Beginner |
| effective-go | 323 | 1y | No flags | Beginner |
| solid-principles | 57 | 12mo | No flags | Intermediate |
| typescript-review | 39 | 4mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by jnPiyush
View all by jnPiyush →You might also like
effective-go
openshift
Apply Go best practices, idioms, and conventions from golang.org/doc/effective_go. Use when writing, reviewing, or refactoring Go code to ensure idiomatic, clean, and efficient implementations.
solid-principles
SmidigStorm
Enforce SOLID principles (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion) in object-oriented design. Use when writing or reviewing classes and modules.
typescript-review
metabase
Review TypeScript and JavaScript code changes for compliance with Metabase coding standards, style violations, and code quality issues. Use when reviewing pull requests or diffs containing TypeScript/JavaScript code.
ast-grep
ast-grep
Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.
serena
massgen
This skill provides symbol-level code understanding and navigation using Language Server Protocol (LSP). Enables IDE-like capabilities for finding symbols, tracking references, and making precise code edits at the symbol level.
typescript
lobehub
TypeScript code style and optimization guidelines. Use when writing TypeScript code (.ts, .tsx, .mts files), reviewing code quality, or implementing type-safe patterns. Triggers on TypeScript development, type safety questions, or code style discussions.