thomas

About thomas

Universal adapter between AI agents and model providers

agent-security agent-security-eval agent-security-red-teaming ai-agent-security openclaw openclaw-security

Quick Facts

Stars	342
Forks	51
Language	TypeScript
Category	Codex Skill
Quality Score	35.9/100
Open Issues	1
Last Updated	2026-05-08
Created	2025-10-22
Platforms	node
Est. Tokens	~688k

Compatible Skills

These tools work well together with thomas for enhanced workflows:

thomas — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (70%)
thomas — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (70%)
TrustedExecBench — semantic(0.89)+rare_topics+same_lang+similar_pop+shared_platform (70%)
shellward — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
openguardrails — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)

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Frequently Asked Questions

What is thomas?

thomas is Universal adapter between AI agents and model providers. It is categorized as a Codex Skill with 342 GitHub stars.

What programming language is thomas written in?

thomas is primarily written in TypeScript. It covers topics such as agent-security, agent-security-eval, agent-security-red-teaming.

How do I install or use thomas?

You can find installation instructions and usage details in the thomas GitHub repository at github.com/trustunknown/thomas. The project has 342 stars and 51 forks, indicating an active community.

View on GitHub → Browse Codex Skill tools