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code-slop — Claude Code skill: what it does, how to install

Flags synthetic AI patterns in PHP/Laravel and TypeScript/React codebases. Use it during PR reviews to weed out empty wrappers, mock-everything tests, and narrating comments.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add AsyrafHussin/agent-skills --skill code-slop -a claude-code
Open on GitHub

What code-slop does

This skill evaluates code readability and taste across 24 rules grouped into 6 categories: comments, naming, over-engineering, defensive overdose, test quality, and style markers. Standard linters catch syntax and quantitative debt, but AI-generated code often passes CI while remaining bloated. The rules flag single-method classes, unnecessary null assertions, and comments that restate the next line.

The workflow detects the project stack via composer.json or package.json. The agent examines changed files or whole repos, sorting issues into a Slop Ledger table with verdicts from CLEAN to CRITICAL. Findings highlight concrete problems like catch blocks masking errors, redundant types on literals, or tests without actual assertions.

Because the rule catalog targets PHP and TypeScript ecosystems specifically, running it on Python, Go, or Rust repositories will not yield meaningful checks.

What it helps with

  • spot AI-generated code patterns in pull requests
  • clean up narrating comments and empty docblocks
  • catch premature single-implementation interfaces
  • identify mock-heavy tests lacking behavioral assertions

Example prompts for the agent

  • review for AI slop across recent changes
  • audit code-quality taste and find AI patterns in this PR
  • check if the changed files feel human and generate a Slop Ledger

How to install code-slop

1Skills CLI (Vercel)

npx skills add AsyrafHussin/agent-skills --skill code-slop -a claude-code

2Manually: put the files in place

~/.claude/skills/code-slop/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/code-slop/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about code-slop

How to install code-slop in Claude Code?

Run npx skills add AsyrafHussin/agent-skills --skill code-slop -a claude-code in your terminal. This creates the skill definition in ~/.claude/skills/code-slop/SKILL.md.

What does code-slop do?

It reviews code for qualitative AI fingerprints like boilerplate comments, over-defensive code, and hollow tests. It rates inspected files in a Slop Ledger table with actionable cleanup steps.

What frameworks and languages does code-slop support?

The rule set specifically covers PHP with Laravel and TypeScript with React or Node. It checks your repo for composer.json and package.json to apply the right guidelines.

Source text

SKILL.md · MIT
---
name: code-slop
description: Detect AI-generated code patterns ("slop") in PHP/Laravel and TypeScript/React source — comment narration, generic naming, premature interfaces, defensive overdose, mock-everything tests, and the absence of human "scars". Use when reviewing AI-assisted PRs, auditing code for taste/quality (not metrics — that's technical-debt), or hardening a code-review checklist. Triggers on "review for AI slop", "find AI patterns", "check code feels human", "audit code-quality taste".
license: MIT
metadata:
  author: agent-skills
  version: "1.0.0"
---

# Code Slop Detection

Taste-level review of code for AI-generated patterns. Contains 24 rules across 6 categories covering comments, naming, over-engineering, defensive overdose, test slop, and style fingerprints. Where [`technical-debt`](../technical-debt) measures *quantitative* code debt (complexity, duplication, CVEs), this skill measures the *qualitative* failure mode: code that passes every metric but reads like a tutorial blog post, not like a human wrote it.

## Metadata

- **Version:** 1.0.0
- **Scope:** PHP / Laravel + TypeScript / React (Node)
- **Rule Count:** 24 rules across 6 categories
- **License:** MIT

## Why this skill exists

Industry data on AI-assisted code (GitClear 2025, cURL bug-bounty shutdown 2025, arXiv 2510.03029):

- **Refactoring collapsed** from 25% to <10% of changes
- **Copy-paste surged** 8.3% → 12.3%; code duplication rose ~8x
- **Code-smell rates +42–85%** over human baselines
- **82% of AI PRs** use generic catch blocks that don't distinguish error types
- **76% miss timeouts** on external calls

None of this fails a typical CI lint. It just makes the codebase slowly unmaintainable. This skill is the lens for catching it before it ships.

The core insight: **reading cost > writing cost now**. The cost of writing code collapsed; the cost of reading it didn't. Code you can't quickly understand is slop, even if it works.

## How to Audit

When the user asks "review for AI slop", "audit code-quality taste", or "find AI patterns" — run through this skill's rules as a checklist against the changed files (PR diff) or full repo.

### Audit Step 1: Determine Scope

- If a PR diff is provided: audit only files changed in the diff
- If files are named: audit those
- If no scope: audit the whole repo, prioritized by recently-touched files (most likely AI output)

### Audit Step 2: Detect Stack

| Signal | Stack |
|--------|-------|
| `composer.json` + `artisan` | PHP / Laravel |
| `package.json` (with TypeScript/React deps) | Node / TypeScript / React |
| Both present | Laravel + Inertia + React |

### Audit Step 3: Run the Slop Checklist

For each item below, output:
- **CLEAN** — pattern not present (brief confirmation)
- **SUSPICIOUS** — present in small amounts; flag and discuss
- **INFLATED** — present extensively; verbose-but-functional; remediation recommended
- **CRITICAL** — extensive AI-fingerprint presence; full review needed before merge

#### Comments
- [ ] No comments that just narrate the code (`// create user` above `User::create(...)`)
- [ ] No empty docblocks (`/** Get user */` above `getUser()`)
- [ ] No placeholder comments left in (`// TODO: implement`, `// your code here`, `// implementation`)
- [ ] No closing-brace labels (`} // end function`, `} // end if block`)

#### Naming
- [ ] No generic placeholder names (`data`, `result`, `info`, `temp`, `helper`)
- [ ] No over-descriptive run-on names (`theUserWhoIsCurrentlyLoggedIn`)
- [ ] No suffix abuse (`*Helper` / `*Manager` / `*Util` / `*Wrapper` overused without justification)
- [ ] No type-in-name patterns (`userObject`, `resultArray`, `stringData`)

#### Over-engineering
- [ ] No interfaces with exactly one implementation (and no plan for a second)
- [ ] No single-method classes that should be top-level functions
- [ ] No wrapper functions called once that just delegate
- [ ] No new dependency added when an existing one does the same job

#### Defensive overdose
- [ ] No generic `catch (e) { console.error(...) }` blocks around code that can't throw
- [ ] No null checks for impossible nulls (after non-null assertions / type-guaranteed values)
- [ ] Real defensive concerns (timeouts on external calls, rate limits) ARE present

#### Test slop
- [ ] No tests that mock every dependency with no real behavioural assertion
- [ ] No "doesn't throw" tests that just call and check for exceptions
- [ ] No tests that mirror the implementation's logic (re-encoding rather than verifying)
- [ ] No snapshot tests standing in for behavioural assertions

#### Style fingerprints
- [ ] Some formatting drift exists (no codebase looks like every file ran through the most aggressive linter)
- [ ] No `as any` / `@ts-ignore` / `@ts-expect-error` sprinkled where inference is hard
- [ ] Repo has some `// HACK:` / `// XXX:` / 2am comments somewhere — codebases without scars are suspect
- [ ] No debug artifacts (`console.log`, `var_dump`, `dd()`, `dump()`) left in production code
- [ ] No `if (x) return true; else return false` / redundant type annotations on obvious literals

### Audit Step 4: Build the Slop Ledger

End the audit with a verdict table:

```
## Code Slop Ledger

| File | Verdict | Top findings | Suggested action |
|------|---------|--------------|------------------|
| app/Services/UserExportService.php | INFLATED | 12 narration comments; 3 closing-brace labels; `*Helper` overuse | Strip comments; rename Helper → split into functions |
| resources/js/Pages/Orders/Show.tsx | CRITICAL | 4 `as any`; mock-everything tests; useless wrapper; impossible null checks | Rewrite section; remove tests; revisit type model |
| app/Models/Order.php | CLEAN | — | — |

## Summary
- CLEAN: X files
- SUSPICIOUS: Y files
- INFLATED: Z files (top priority: …)
- CRITICAL: N files (rewrite before merge)
```

## When to Apply

Reference this skill when:
- Reviewing an AI-assisted PR before merge
- Auditing a repo that has accepted heavy AI-assisted contributions
- Onboarding a codebase and assessing whether it reads as human-maintained
- Hardening a team's code-review checklist against AI slop
- After a "vibe coding" sprint, before declaring features done
- Setting up CI gates for AI-output quality

## Step 1: Detect Project Stack

Most rules are stack-agnostic in concept, but examples and detection commands differ between PHP and TypeScript.

| Signal | Stack | Tooling |
|--------|-------|---------|
| `composer.json` | PHP / Laravel | `phpstan`, `phpcs`, `phpmd`, manual grep |
| `package.json` | Node / TS / React | `eslint`, `tsc --noEmit`, `knip`, manual grep |

## Rule Categories by Priority

| Priority | Category | Impact | Prefix |
|----------|----------|--------|--------|
| 1 | Comments | CRITICAL | `comments-` |
| 2 | Naming | CRITICAL | `naming-` |
| 3 | Over-engineering | HIGH | `over-eng-` |
| 4 | Defensive overdose | HIGH | `defensive-` |
| 5 | Test slop | HIGH | `test-` |
| 6 | Style fingerprints | MEDIUM | `style-` |

## Quick Reference

### 1. Comments (CRITICAL)

- `comments-narration` — Comments that just restate the code on the next line
- `comments-empty-docblocks` — Generic `/** Get the user */` over a typed `getUser()` signature
- `comments-placeholder` — `// TODO: implement`, `// your code here`, `// implementation`, `// helper function`
- `comments-closing-brace-labels` — `} // end function` / `} // end if block`

### 2. Naming (CRITICAL)

- `naming-generic-placeholders` — `data`, `result`, `info`, `temp`, `helper`, `value`
- `naming-over-descriptive` — `theUserWhoIsCurrentlyLoggedIn`, `calculateTotalAmountFromItemsList`
- `naming-suffix-abuse` — `*Helper` / `*Manager` / `*Util` / `*Wrapper` / `*Processor` overused
- `naming-type-in-name` — `userObject`, `resultArray`, `stringData`, `listOfItems`

### 3. Over-engineering (HIGH)

- `over-eng-premature-interface` — Interface with exactly one implementation and no second on the roadmap
- `over-eng-single-method-class` — Classes that exist solely to wrap one function
- `over-eng-useless-wrapper` — Wrapper called from exactly one place, just delegating
- `over-eng-dependency-creep` — New library when an existing dep already does the job

### 4. Defensive overdose (HIGH)

- `defensive-generic-catch` — `try { ... } catch (e) { console.error("error") }` everywhere
- `defensive-impossible-null` — Null checks after non-null assertions / type-guaranteed values
- `defensive-missing-real` — Defensive in the wrong places; missing timeouts/rate-limits where it matters

### 5. Test slop (HIGH)

- `test-mock-everything` — Mock for every dep; the test re-encodes the implementation, not the behaviour
- `test-doesnt-throw` — Tests that just call the function and assert no exception
- `test-mirror-implementation` — Tests whose logic mirrors the production code being tested
- `test-snapshot-abuse` — Snapshot tests replacing behavioural assertions

### 6. Style fingerprints (MEDIUM)

- `style-hyper-consistent` — No formatting drift anywhere; every file looks linter-perfect
- `style-as-any-escape` — `as any` / `@ts-ignore` / `@ts-expect-error` sprinkled where types are hard
- `style-no-hack-scars` — Codebase has zero `// HACK:` / `// XXX:` markers; no "geology"
- `style-debug-artifacts` — `console.log`, `var_dump`, `dd()`, `dump()` left in production paths
- `style-trivial-boilerplate` — `if (x) return true; else return false;`, redundant TS type annotations on obvious literals

## Essential Patterns

### The "would this pass code review?" filter

For each code chunk, ask:
1. **Could I cut a third of these comments and the code would be clearer?** → likely comment slop
2. **Do the variable names tell me what they hold, or just what type they are?** → likely naming slop
3. **Could this class be a function?** → likely over-engineering
4. **Does this catch block actually handle anything, or just log?** → likely defensive overdose
5. **Does this test fail if I break the function?** → if no, test slop
6. **Are there any `// HACK:` / `// XXX:` markers in the diff?** → if no, suspicious for AI

### Verdict bands (matched to AI-SLOP-Detector's scoring)

| Verdict | Meaning | Action |
|---|---|---|
| **CLEAN** | < 5% of lines flagged | Ship |
| **SUSPICIOUS** | 5–15% flagged | Review changes one more time |
| **INFLATED** | 15–30% flagged | Strip slop, split commits |
| **CRITICAL** | > 30% flagged | Rewrite section before merge |

## How to Use

Read individual rule files for detailed conventions and examples:

```
rules/comments-narration.md
rules/naming-generic-placeholders.md
rules/over-eng-premature-interface.md
rules/defensive-generic-catch.md
rules/test-mock-everything.md
rules/style-hyper-consistent.md
```

Each rule file contains:
- YAML frontmatter (title, impact, tags)
- Brief explanation of why the pattern is AI-fingerprint
- "Incorrect" example showing the slop
- "Correct" example showing the human-equivalent
- Detection guidance (grep / eslint / phpstan / heuristic)
- Reference link

## References

- GitClear — 2025 Code-Quality Trends Report (refactoring collapse, copy-paste surge)
- [arXiv 2510.03029 — Investigating the Smells of LLM-Generated Code](https://arxiv.org/abs/2510.03029)
- Addy Osmani — Comprehension Debt (O'Reilly Radar)
- Stack Overflow Blog — Eno Reyes Q&A on AI code quality

- [hardikpandya/stop-slop](https://github.com/hardikpandya/stop-slop) — sister project for prose slop
- [flamehaven01/AI-SLOP-Detector](https://github.com/flamehaven01/AI-SLOP-Detector) — Python AST scanner with 27 patterns

## Full Compiled Document

For the complete guide with all rules expanded: `AGENTS.md`

© agent-skills · MIT · AsyrafHussin/agent-skills

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