by openguardrails · Codex Skill · ★ 344
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Universal adapter between AI agents and model providers
| Stars | 344 |
| Forks | 52 |
| Language | TypeScript |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 38.9/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-30 |
| Created | 2025-10-22 |
| Platforms | node |
| Est. Tokens | ~679k |
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Universal adapter between AI agents and model providers
Universal adapter between AI agents and model providers
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thomas is Universal adapter between AI agents and model providers. It is categorized as a Codex Skill with 344 GitHub stars.
thomas is primarily written in TypeScript. It covers topics such as agent-security, agent-security-eval, agent-security-red-teaming.
You can find installation instructions and usage details in the thomas GitHub repository at github.com/openguardrails/thomas. The project has 344 stars and 52 forks, indicating an active community.
thomas is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to thomas on Agent Skills Hub include thomas, thomas, secure-openclaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.