by wanshuiyin · MCP Server · ★ 164
Don't trust an autoresearch paper at face value. Reviewer-side integrity forensics (self-consistency + fabrication), deterministic verdict. 61 signals: 46 integrity hack-patterns (families A–H, verdict-bearing) + 13 zero-weight AI writing-style impressions (AIS) + 2 advisory. Not an opaque AI-text classifier. The dual of ARIS.
| Stars | 164 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 33.3/100 |
| Last Updated | 2026-10-17 |
| Created | 2026-06-26 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~91k |
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Anti-Autoresearch is Don't trust an autoresearch paper at face value. Reviewer-side integrity forensics (self-consistency + fabrication), deterministic verdict. 61 signals: 46 integrity hack-patterns (families A–H, verdic. It is categorized as a MCP Server with 164 GitHub stars.
Anti-Autoresearch is primarily written in Python. It covers topics such as ai-generated-content, ai-research, ai-scientist.
You can find installation instructions and usage details in the Anti-Autoresearch GitHub repository at github.com/wanshuiyin/Anti-Autoresearch. The project has 164 stars and 8 forks, indicating an active community.
Anti-Autoresearch is released under the MIT license, making it free to use and modify according to the license terms.