by allanta8 · Claude Skill · ★ 19
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 19 |
| Forks | 3 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67/100 |
| Last Updated | 2026-06-18 |
| Created | 2026-04-22 |
| Platforms | claude-code |
| Est. Tokens | ~3k |
Anti-slop content audit skill for X, ViewFT, LinkedIn, and long-form posts.
These tools work well together with slop-check for enhanced workflows:
Looking for a slop-check alternative? If you're comparing slop-check with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Best Practices for Claude Code Configuration
From one sentence to a publishable book. 21 AI skills for Claude Code that automate the entire book writing pi
📝 md2wechat Lite | 轻量版微信公众号 Markdown 排版 CLI,免费开源
Social media scheduling CLI and OpenClaw skill for AI agents posting to X, LinkedIn, Instagram, Facebook Pages
A Claude skill that audits designs against 19 professional design rules.
AI-powered content pipeline: trend discovery → research → social publishing. Built with Claude Agent SDK + MCP
Explore other popular claude skill tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: