AI导哈

测试与安全

code-slop

asyrafhussin/ag…t-skills

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".

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安装命令

npx skills add https://github.com/asyrafhussin/agent-skills --skill code-slop

SKILL.md

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 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):

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