by pengchenghaoche51 · Claude Skill · ★ 0
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.
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 | 0 |
| Forks | 0 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 58/100 |
| Last Updated | 2026-08-06 |
| Created | 2026-08-05 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~2k |
Codex / Claude Code skill for Turnitin AI detection, similarity checking, and AI text humanization. With this skill, you can get Turnitin AI detection and similarity reports before submitting your document — usually within 10 minutes. You can also humanize your text to reduce AI detection scores and make AI-assisted writing sound more natural.
Looking for a turnitin0_skill alternative? If you're comparing turnitin0_skill with other claude skill tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
English text humanizer for Claude: typography, vocabulary, structure. Calibrates to your voice. Built on the U
Türkçe metinlerden yapay zekâ yazım imzalarını temizleyen Claude skill'i. YZ üretimi Türkçe'yi doğal, insan-se
AI humanizer skill for Claude Code, Codex and Cursor. Removes AI slop and the signs of AI writing, then measur
Open-source AI text detector and ChatGPT detector: 23 engines, one calibrated score, every number measured on
ZAYUVALYA - AI Humanizer is a developing tool designed to rephrase AI-generated text to make it more natural a
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: