No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by AIScientists-Dev · Claude Skill · ★ 863
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is academic-humanizer safe to install? View the security audit →
Why we built this Some of us write a lot of papers and grant proposals, and our team started using AI to help with drafts. The problem is that AI-assisted drafts come out generic and verbose, with "In recent years..." openers, inflated phrasing, and over-long sentences. They also drift from the author's own voice and lose the precision scholarship depends on. There are tools called "humanizers," but they are built for blogs and marketing. Run one on a paper or an NSF proposal and it flattens the precision along with everything else. The careful wording academic writing depends on is the first thing to go. So we put together our own. To calibrate it, we had the AI compare its own drafts with our team's accepted papers and funded proposals, and we went through the differences by hand. It is nothing fancy, and it is not about gaming review, defeating detectors, or adding fake novelty. We
| Stars | 863 |
| Forks | 92 |
| Category | Claude Skill |
| Quality Score | 66.9180337796153/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-03 |
| Created | 2026-06-20 |
| Platforms | claude-code, codex |
| Est. Tokens | ~17k |
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academic-humanizer is Strip AI-writing tells from papers and grant proposals (NSF/NIH), while keeping scholarly voice and tying claims to evidence. A skill for Claude Code, Codex, and MorphMind.. It is categorized as a Claude Skill with 863 GitHub stars.
You can find installation instructions and usage details in the academic-humanizer GitHub repository at github.com/AIScientists-Dev/academic-humanizer. The project has 863 stars and 92 forks, indicating an active community.
The top alternatives to academic-humanizer on Agent Skills Hub include claude-prism, latex-arxiv-SKILL, research-writing-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: