by Cranot · Agent Tool · ★ 124
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Cognitive prisms for structural analysis — any domain, any model. 1000+ experiments, 58 prisms, 27 scan modes. The cheapest model + right prism beats the most expensive without one. Cross-architecture validated: Claude + Gemini converge on the same structural laws.
| Stars | 124 |
| Forks | 16 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 36.8/100 |
| Last Updated | 2026-03-18 |
| Created | 2026-02-28 |
| Platforms | aws, claude-code, gemini, python |
| Est. Tokens | ~480k |
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agi-in-md is Cognitive prisms for structural analysis — any domain, any model. 1000+ experiments, 58 prisms, 27 scan modes. The cheapest model + right prism beats the most expensive without one. Cross-architecture. It is categorized as a Agent Tool with 124 GitHub stars.
agi-in-md is primarily written in Python. It covers topics such as ai-tools, claude, code-analysis.
You can find installation instructions and usage details in the agi-in-md GitHub repository at github.com/Cranot/agi-in-md. The project has 124 stars and 16 forks, indicating an active community.
agi-in-md is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agi-in-md on Agent Skills Hub include deep-code-reasoning-mcp, deep-code-reasoning-mcp, gm-exec. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.