TxAgent — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by mims-harvard · Agent Tool · ★ 650

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About TxAgent

TxAgent: An AI agent for therapeutic reasoning across a universe of tools Shanghua Gao, <a href="https://www.linkedin.com/in/richard-zhu-4236901a7/"

agentsprecision-medicinereasoning-agentreasoning-language-modelstherapeuticstool-use

Quick Facts

Stars650
Forks103
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score70.7693987716091/100
Open Issues22
Last Updated2025-07-30
Created2025-03-01
Platformspython
Est. Tokens~3796k

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Frequently Asked Questions

What is TxAgent?

TxAgent is TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools. It is categorized as a Agent Tool with 650 GitHub stars.

What programming language is TxAgent written in?

TxAgent is primarily written in Python. It covers topics such as agents, precision-medicine, reasoning-agent.

How do I install or use TxAgent?

You can find installation instructions and usage details in the TxAgent GitHub repository at github.com/mims-harvard/TxAgent. The project has 650 stars and 103 forks, indicating an active community.

What license does TxAgent use?

TxAgent is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to TxAgent?

The top alternatives to TxAgent on Agent Skills Hub include bigcodebench, mcp-sse, avatar. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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