aft — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

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 cortexkit · Agent Tool · ★ 246

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

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About aft

AFT Give your agent a proper IDE and OS. The sensorimotor cortex for coding agents. <img src="https://img.shields.io/badge/licens

agent-frameworkaiai-agentsai-agents-frameworkopencode

Quick Facts

Stars246
Forks28
LanguageRust
CategoryAgent Tool
LicenseMIT
Quality Score68.2536588612219/100
Open Issues3
Last Updated2026-08-09
Created2026-03-15
Platformsrust
Est. Tokens~1095k

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Frequently Asked Questions

What is aft?

aft is Tree-sitter powered code manipulation and analysis tools for AI coding agents. It is categorized as a Agent Tool with 246 GitHub stars.

What programming language is aft written in?

aft is primarily written in Rust. It covers topics such as agent-framework, ai, ai-agents.

How do I install or use aft?

You can find installation instructions and usage details in the aft GitHub repository at github.com/cortexkit/aft. The project has 246 stars and 28 forks, indicating an active community.

What license does aft use?

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

What are the best alternatives to aft?

The top alternatives to aft on Agent Skills Hub include DeepMCPAgent, OpenContext, openai-assistant-swarm. 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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