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git clone https://github.com/samanl33t/jadx-xvision-plugin.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 72 |
| Forks | 12 |
| Language | Java |
| Category | AI Tool |
| Quality Score | 68/100 |
| Last Updated | 2025-05-26 |
| Created | 2024-11-03 |
| Platforms | java |
| Est. Tokens | ~17k |
jadX xVision Plugin xVision is a plugin for the JadX decompiler that aims to integrate with Large Language Models (LLMs) to provide code analysis directly in the JAdX. This plugin allows you to analyze Java code for functionality, security issues, and notable patterns using LLMs like GPT-4, Claude or any custom local LLMs.
These tools work well together with jadx-xvision-plugin for enhanced workflows:
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: