by manavmishra · MCP Server · ★ 118
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Open-source Agent Skill that scores AI-sounding writing 0–100, edits it with your assistant.
| Stars | 118 |
| Forks | 1 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 54.0884037812099/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-13 |
| Created | 2026-08-03 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~13k |
These tools work well together with ZeroSlop for enhanced workflows:
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ZeroSlop is Open-source Agent Skill that scores AI-sounding writing 0–100, edits it with your assistant.. It is categorized as a MCP Server with 118 GitHub stars.
ZeroSlop is primarily written in Python. It covers topics such as agent-skills, ai-editor, ai-slop.
You can find installation instructions and usage details in the ZeroSlop GitHub repository at github.com/manavmishra/ZeroSlop. The project has 118 stars and 1 forks, indicating an active community.
ZeroSlop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ZeroSlop on Agent Skills Hub include humanizer-de, humanizer-ru, unslop. 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: