humanizer-it: Remove AI traces from Italian text — opensource (MIT) skill for Claude

by ilyautov · Claude Skill · ★ 5

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 69/100

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.

agent-skillsai-detectionai-textanthropicanti-ai-detectorclaudeclaude-codeclaude-code-skillsclaude-skillclaude-skills

Quick Facts

Stars5
Forks1
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score69/100
Open Issues5
Last Updated2026-10-12
Created2026-06-25
Platformsclaude-code, cli, codex, gemini, python
Est. Tokens~16k

About humanizer-it

Remove AI traces from Italian text — opensource (MIT) skill for Claude. The «IA-taliano»: English calques, nominal burocratese, missing intercalari/clitics. 52 patterns, 15 hard bans, dependency-free scanner. | Скилл для итальянского текста: убирает следы нейросети, 52 паттерна и 15 жёстких банов, сканер без зависимостей.

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How this security grade is produced

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:

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